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first_imgThe bodies of three men, who allegedly died of strangulation, were today found from a farm house in Gurgaon’s posh Sohna locality, police said. The police were alerted about the incident in the morning when some female workers reached the farm house for their daily routine work. The deceased hail from Uttar Pradesh and have been identified as Mohit, Dharmendra and Allahudin. Mohit and Dharmendra. They had visited the farm house last month also. While Mohit was found dead in the kitchen, Dharmendra’s body was recovered from the cricket ground and Allahudin’s from behind the bushes within the premises of the farm house, the police said. The police were suspecting that dacoity could be the reason of the triple murder. Some valuables were missing from the farm house, situated along the Gurgaon-Sohna road at Kherla village, which suggests a possible loot, the police said.“Prima facie it appears that the Bawaria gang could be involved in it as it has committed such crimes in the past in places including Mewat district. There are no CCTV cameras installed inside the premises. We have registered a case against unknown persons,” a senior police officer said.last_img read more

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first_imgA total of seven Maoists, including two women, have been killed in two separate encounters in Odisha’s Kandhamal and Balangir districts since Saturday night.Security forces found another body on Monday morning, after they had recovered four bodies following an exchange of fire with Communist Party of India-Maoist cadres in the Sudurukumpa forest of the Kandhamal district on Sunday afternoon.The gun battle comes a day after two left-wing extremists — divisional committee member Sanjeeb who was carrying a reward on ₹5 lakh on his head, and Rakesh, an area committee member carrying a reward of ₹4 lakh — were killed in an exchange of fire with the security forces on Saturday.Special Operations Group, an anti-Maoist force, and District Voluntary Force launched an operation following a tip-off about a possible meeting of Communist Party of India (Maoist) cadres at Godanki village in Sudurukumpa forest.Two women among deadKandhamal Superintendent of Police Prateek Singh said two woman Maoists were among the five killed in the exchange of fire. Five guns, including an AK-47 and two INSAS rifles, were recovered from the spot. The names of the deceased had not been revealed till Monday evening.In the wake of the two encounters, Union Home Minister Rajnath Singh spoke to Chief Minister Naveen Patnaik on Monday and reviewed the security situation in the State, an official said. During the telephonic conversation, the Chief Minister briefed the Home Minister on the steps taken by the State government to deal with the Maoists, the official said. Mr. Singh also spoke to Odisha Director General of Police Rajendra Prasad Sharma and appreciated the successful operations against the Maoists.(With PTI inputs)last_img read more

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first_imgSamoa Joe emerged as the number one contender for the WWE Universal Championship at Extreme Rules. Photo by WWE.comSamoa Joe choked the life out of Finn Balor to emerge victorious in the fatal-5-way main event at Extreme Rules Sunday (Monday Manila time) in Baltimore, Maryland.The Destroyer outlasted the Demon King, as well as Seth Rollins, Roman Reigns, and Bray Wyatt to become the number one contender for the WWE Universal Championship in the chaotic main event.ADVERTISEMENT Pagasa: Storm intensifies as it nears PAR In the kickoff show, Kalisto capitalized on Titus O’Neil’s distraction from ringside as he hit Apollo Crews with the Salida del Sol for the three-count.Sports Related Videospowered by AdSparcRead Next MOST READ BREAKING: Cop killed, 11 hurt in Misamis Oriental grenade blast Balor nailed Reigns with a Sling Blade and connected with a Coup de Grace, but Joe took the opportunity to come from behind and lock in his dreaded submission hold to knock his former NXT foe unconscious.Joe will now face Brock Lesnar for the title in next month’s WWE Great Balls of Fire.FEATURED STORIESSPORTSSEA Games: Biñan football stadium stands out in preparedness, completionSPORTSPrivate companies step in to help SEA Games hostingSPORTSMalditas save PH from shutoutIn the night’s other matches, The Miz became a seven-time Intercontinental Champion to dethrone Dean Ambrose.The A-Lister used a variety of distractions including scheming his wife Maryse to slap him while also pushing the Lunatic Fringe to the referee to force disqualification. The confusion did him well, though, as he sneaked from behind to hit the Skull Crushing Finale for the pinfall victory. Sheamus and Cesaro also reclaimed their Raw Tag Team Championships as they edged the Hardy Boyz in a photo finish in their Steel Cage match.Alexa Bliss retained her Raw Women’s Championship as she shoved Bayley to a kendo stick on the turnbuckle before nailing the DDT.Neville continued to frustrate Austin Aries as he successfully defended his WWE Cruiserweight Championship in their submission match.The King of the Cruiserweights hit his rival with a Red Arrow to the back before following it up with a Rings of Saturn for the verbal tap-out.Rich Swann and Sasha Banks beat Noam Dar and Alicia Fox after Dar suffered a double knee drop from Banks at ringside followed by a Phoenix Splash from Swann.ADVERTISEMENT Palace: Duterte to hear out security execs on alleged China control of NGCP LeBron on doubters’ criticism: ‘I stopped caring a long time ago’ Don’t miss out on the latest news and information. center_img Every 18 seconds someone is diagnosed with HIV Robredo: True leaders perform well despite having ‘uninspiring’ boss PLAY LIST 02:49Robredo: True leaders perform well despite having ‘uninspiring’ boss02:42PH underwater hockey team aims to make waves in SEA Games01:44Philippines marks anniversary of massacre with calls for justice01:19Fire erupts in Barangay Tatalon in Quezon City01:07Trump talks impeachment while meeting NCAA athletes02:49World-class track facilities installed at NCC for SEA Games Cayetano dares Lacson, Drilon to take lie-detector test: Wala akong kinita sa SEA Games Lacson: SEA Games fund put in foundation like ‘Napoles case’ BREAKING: Cop killed, 11 hurt in Misamis Oriental grenade blast BSP survey: PH banks see bright horizon amid dark global recession clouds LATEST STORIES View commentslast_img read more

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first_imgArms dealer Abhishek Verma might not come out of jail for some time with the CBI slapping a case against him under the Official Secrets Act (OSA).It is the third case the agency has registered against Verma since his arrest in June for allegedly receiving money from a Swiss arms company to use his influence to stall the blacklisting proceedings initiated by the government against the firm after the ordnance scam surfaced.On August 8, when Verma and his Romanian wife Anca Neacsu could have walked out of prison because the CBI could not file a chargesheet in the corruption case in the stipulated 60-day period, the agency had booked them in a forgery case and arrested them in the courtroom itself.Union sports minister Ajay Maken had complained that the couple used a forged letterhead of his to write to the PM seeking easing of business visa norms for employees of a Chinese firm.While Verma’s wife has got bail in the forgery case, she still needs to be in custody because her bail plea in another case registered by the Enforcement Directorate under the Money Laundering Act has not come up in court yet.The third case was registered after the CBI received a formal complaint by the defence ministry that certain documents sent to the investigating agencies by Verma’s estranged US associate, C. Edmond Allen, were secret in nature.”We need to grill them in the OSA case. It needs to be probed how the leaks were made. We want to question Verma about his contacts,” a senior CBI officer said.advertisementSources say Verma’s connections with servicing and retired officers either in the ministry of defence or in the armed forces are under the scanner.Allen had provided documents dealing with acquisition and the future plans of the defence forces, alleging that Verma had shown these to demonstrate his influence. The defence ministry had given the agency a list of seven documents which it found to be coming under the definition of “secret” under the OSA. The CBI will probe how these documents were leaked.– Romanian Anca Neacsu, who had been Abhishek Verma’s second wife for five days at the time of their arrest in June, is said to be a former model. But according to the arms dealer’s former associate and whistleblower C. Edmond Allen’s letter to the CBI, she was a struggling receptionist.Anca has told the CBI she holds a degree in mechanical engineering and had met Verma in the 1990s. “She told us she was a GM in a Romanian company before she started working with Verma,” an officer said.Before her arrest, Anca was the MD of Ganton India, owned by Verma, and a director of Ganton US, nominally owned by Allen.In a letter dated February 10, 2012, to the CVC, Allen mentions a Red ‘N’ Pink company “set up at Verma’s request as a model agency but the account is solely utilised by Anca Neacsu, Verma’s partner-cum-companion”.last_img read more

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first_imgSports Related Videospowered by AdSparcRead Next Don’t miss out on the latest news and information. “The teams are fundamentally sound and they play with discipline,” Adderley said. “And if you get a team that can do that week after week after week and you have good players, you’re going to win.”Adderley, who just celebrated his 22-year-old cousin Nasir Adderley’s selection in the NFL draft by the Los Angeles Chargers, won his six rings in a 12-year span.“You look at all the great players that never played on a championship team that went to the Hall of Fame like Gale Sayers and Deacon Jones, one of my classmates when in 1980 when I went in,” Adderley said. “There are just so many guys that deserved just one Super Bowl title and then I end up with six, which was half of my career.“I played 12 years and six times to be an NFL champion, I mean, that’s mind blowing.”Thurston won his six titles over a 10-year span, Gregg over a 15-year career and Brady has won his six rings over a 19-year career. He’ll be 42 this summer as he enters his 20th season. Gregg retired at 38, Thurston at 34 and Adderley at 33.ADVERTISEMENT Gregg was the first man to play and coach in the Super Bowl. He took the Cincinnati Bengals to their first Super Bowl during the 1981 season when they lost 26-21 to Joe Montana and the 49ers.Gregg died last month after a long fight with Parkinson’s, a disease his neurologist and family believe might have been triggered by countless concussions he sustained while playing football in the 1950s at SMU and in the NFL from 1956-71 during a Hall of Fame career that led Lombardi to call him “the finest football player I ever coached.”“Aw man, I was with him for nine years in Green Bay and then we were teammates in Dallas,” Adderley said. “For 10 years we were teammates and we were the best of friends, I’m telling you. They had a grading system where offensive linemen would be graded on pass blocking and run blocking and every week Forrest Gregg was the only one that ended up with a 100 on both run and pass, and if he didn’t, it would be 95.“Other guys on that line in the Hall of Fame, Jim Ringo and Jerry Kramer — and Fuzzy Thurston wasn’t a bad lineman, either — but those guys didn’t end up with the same grades as Forrest Gregg. That’s why Lombardi said he was the best that he’d ever coached.”While he believes it might take another century for the four-man club to expand to five, Adderley concedes that Brady might very well become the first player to win seven NFL championships.“Oh yes, indeed. He has a shot at it as long as he plays,” Adderley said. “As far as I’m concerned, because of the titles that he’s won, he’s the best quarterback to play. And Bill Belichick gets a lot of credit because of the system that he has. He brings in guys that fit in that system. It doesn’t matter who it is, Brady’s going to hit the open man.”Adderley, who lives outside Philadelphia, said Lombardi’s teams may have won all their titles in a shorter span than Belichick has won his championships in New England but the similarities are striking: both dynasties are marked by sidestepping boneheaded plays and calls that their opponents just can’t avoid.“There would be games and seasons that we wouldn’t make any mistakes to beat ourselves,” Adderley said. “Of course, everybody makes mistakes, even the scientists — they use pencils with erasers on the end because everybody’s going to make mistakes now and then. But we didn’t make enough to beat ourselves and other teams either we forced them to make mistakes or they just lacked discipline.“So, that’s the key, if you are fundamentally sound and play with discipline, you’re going to be in the running to win. And I think that as long as Brady and Belichick are there, Brady’s going to have a chance to get No. 7,” Adderley said.“And as long as he keeps going, our names will always be mentioned: Thurston, Gregg and myself.” DA eyes importing ‘galunggong’ anew “Because of all the free agency and guys jumping around from team to team, you’re not going to be on one team long enough and you’re not going to be lucky enough to be with a team every year that’s going to win a championship.”Adderley, who turns 80 next month, won five championships in Green Bay, including the first two Super Bowls, plus another with Tom Landry’s Dallas Cowboys in 1971, as did Hall of Fame lineman Forrest Gregg, who died last month at age 85.FEATURED STORIESSPORTSPrivate companies step in to help SEA Games hostingSPORTSPalace wants Cayetano’s PHISGOC Foundation probed over corruption chargesSPORTSSingapore latest to raise issue on SEA Games food, logisticsTheir Green Bay teammate, offensive lineman Fuzzy Thurston, who died in 2014, won all six of his titles with Lombardi and the Packers just as Brady has won each of his half dozen rings in New England with coach Bill Belichick.Belichick reminds Adderley a lot of Lombardi. Cayetano: Senate, Drilon to be blamed for SEA Games mess Ethel Booba twits Mocha over 2 toilets in one cubicle at SEA Games venue ‘Rebel attack’ no cause for concern-PNP, AFP MOST READ File-This Feb. 3, 2019 file photo shows New England Patriots’ Tom Brady (12) passing under pressure form Los Angeles Rams’ Aaron Donald (99) during the first half of the NFL Super Bowl 53 football game in Atlanta. Brady will soon slip on his sixth Super Bowl ring, and Herb Adderley is the only other man on the planet who can relate to that level of success as the National Football League celebrates its 100th season. “It’s going to be a long time, another 100 years, before somebody wins himself six titles,” said Adderley, the Hall of Fame cornerback for Vince Lombardi’s great Green Bay Packers teams of the 1960s. (AP Photo/Carolyn Kaster, File)Tom Brady will soon slip on his sixth Super Bowl ring, and Herb Adderley is the only other player on the planet who can relate to that level of success in the National Football League, which celebrates its 100th season this year.“It’s going to be a long time, another 100 years, before somebody wins himself six titles,” suggested Adderley, the Hall of Fame cornerback for Vince Lombardi’s great Green Bay Packers teams of the 1960s.ADVERTISEMENT Private companies step in to help SEA Games hosting Duterte wants probe of SEA Games mess Two-day strike in Bicol fails to cripple transport View comments LATEST STORIES Giannis Antetokounmpo, Paul George finalists for NBA MVP and defensive award Catholic schools seek legislated pay hike, too PH underwater hockey team aims to make waves in SEA Games PLAY LIST 02:42PH underwater hockey team aims to make waves in SEA Games01:44Philippines marks anniversary of massacre with calls for justice01:19Fire erupts in Barangay Tatalon in Quezon City01:07Trump talks impeachment while meeting NCAA athletes02:49World-class track facilities installed at NCC for SEA Games02:11Trump awards medals to Jon Voight, Alison Krausslast_img read more

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first_imgRonaldinho arrived in India last nigh tamidts all his fans and photographers. The two time Ballom d’Or winner has come down to India to play in the inaugral Premeier Futsal League.The 36-year-old Brazilian legend will play for Goa their marquee player.The former Barcelona and AC Milan star stepped out of the International airport in his trademark casual self wearing a casual t-shirt, shorts and studs and was welcomed with a huge line of photographers.The 2002 World Cup winner was calm as usual and obliged the lensmen by posing for photographs, even as the bouncers and police jostled around. The organisers had arranged for a Rolls Royce to pick up the great footballer with league CEO, Abhinandan Balasubraminian present to receive the player. (Also read: Ryan Giggs, Ronaldinho to play in Virat Kohli’s Premier Futsal)Chennai International Airport has been the place of attention recently as other renowned footballers Paul Scholes, Ryan Giggs and Hernan Crespo are all arriving one by one.Premier Futsal, a franchise-based international tournament and promoted by an entity formed by Indian entrepreneurs, has attracted some of the world’s well known former football stars.Portuguese football legend Luis Figo is the president of the league while Indian cricket star Virat Kohli has been roped in as its ambassador.The tournament kicks off on July 15 and moves to Goa on July 18. The final will take place in Goa on July 24.(With PTI Inputs)last_img read more

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first_imgApplying machine learning (ML) in embedded systems depends on algorithms and hardware able to perform inference — and even training at acceptable rates. With its “Lifelong-Deep Neural Networks” (L-DNN), Neurala has sharply reduced training time, training-set size, and memory requirements with relatively minimal impact on inference time, mean average precision (mAP), or mean image average precision (mIAP) metrics (Figure 1).click for larger image (Source: Neurala) Building on years of development including successful SBIR phase 1 and demanding phase 2 contracts from NASA earlier this decade, the company’s technology today finds application in a range of applications such as AI-powered inspection drones and others built on resource-constrained platforms. Leading Neurala’s technology development, Neurala co-founder and CTO Anatoli Gorshechnikov brings to bear more than 15 years of experience in development of massively parallel software for neural computation. Embedded had an opportunity to ask Gorshechnikov about the status and prospects for machine learning in embedded systems.Embedded: Embedded developers typically work with resource-constrained, power-limited devices that might be running ARM Cortex-M-type processors, for example. The notion of running ARM Cortex-A-type processors in IoT edge devices offers more performance but these are still general-purpose CPUs. Broadly speaking, what would you consider the top barriers to realization of machine learning at the edge or even in IoT terminal devices? Gorshechnikov: First of all, my experience lies primarily with neural network-based ML, so I would like to limit the discussion to this subdomain of ML.I understand the itch to put ML on terminal devices and we hear this desire from our customers on a regular basis, but when you are talking neural networks you need to forget about M-type processors. Even modern neural architectures designed to operate on the low-profile devices include a few millions of weights and millions of FLOPS. You are not really looking for a security camera that reports to you that there was an intruder in your backyard two hours after the event. A-types are more permissive in this respect, especially as manufacturers develop and make available special purpose neural network acceleration libraries. There is only so much we can do on the software side, so we are looking with hope at the manufacturers to provide dedicated neural processors, accelerated neural libraries and other support today, same as we were looking at GPU manufacturers 10 years ago. Embedded: What does an organization looking to deploy applications with ML at the edge need to consider?Gorshechnikov: From the end customer point of view: The pros for doing inference at the edge are: Leave a Reply Cancel reply You must Register or Login to post a comment. This site uses Akismet to reduce spam. Learn how your comment data is processed. UdyRegan says: It achieves lower latency between observed event and action resulting from AI logic “I am loving that analogy about whether the technology change with the people in the home. I have actually thought about this situation before and I realise that it has never really come up because we have to change out and upgrade our existing systems oft The cons include: 1 thought on “Bringing machine learning to the edge: A Q&A with Neurala’s Anatoli Gorshechnikov” Continue Reading Previous Logic Technology: FlashFX Tera 4.2 extends MLC NAND flash support for automotive and IIOTNext DDC: 48VDC/238A, 16-channel solid-state power controller The rapid cost/compute power advances driven by the smartphone explosion has shifted the balance towards favoring complex AI at the edge. For the solution provider the cost benefit analysis always helps. How long will it take to optimize the solution for a particular device? How many of those devices will actually make into deployment? How long they will stay deployed? How useful optimizations for this device will be for other devices? These types of questions need to be answered before engagement. Embedded: What does an engineer looking to implement ML at the edge need to consider?Gorshechnikov: There are many more instances of the edge than there are of the core (several orders of magnitude). So just fundamentally any fault is going to have an exponential effect (and repair cost). Also, even small savings in compute time and hence power consumption will have great aggregate effect. So, the most important question is what is the least amount accuracy and computation complexity we can do while still delivering the business value? On a more practical side there are many questions to consider. How close are we with the manufacturer? Will we get pre-release samples to work on? How stable is the architecture? How good is the documentation? In some cases, even what language is used in documentation and can we read it? Is there an ML-specific API? How stable is it? How close is this device to devices we worked on in the past? Basically, all the questions that will help to determine how long it will take to implement the solution. Finally, can the AI tasks be distributed between core and edge rather than putting all tasks on one side of the connection? Embedded: What are the top mistakes likely to be made in implementing ML at the edge?Gorshechnikov: Continuing with the top down approach ‘let’s make it perform the task first and then squeeze it on device` instead of switching to bottom up ‘let’s make it run on device and fulfill all hardware constraints first, and then tune it for the task at hand’. Embedded: What’s are the primary limitations of current approaches for implementing ML at the edge.Gorshechnikov: Again, within traditional neural network-based ML, there is no ML on the edge. There was machine inference on the edge, but no learning, it was just too computationally expensive to train convolutional networks on the edge hardware. As a result, edge based “intelligence” couldn’t adapt to the changes in the environment. Can we even call that intelligence? This was the motivation that led us to developing our L-DNN technology. Embedded: Developers compensate for changes in data trends due to aging, drift, and the like, by building in appropriate compensation and using self-calibration methods in their designs. In fact, many sensors build in both compensation and self-calibration to address long-term drift. So why is on-device retraining so important in IoT devices?Gorshechnikov: Can a sensor in a security camera calibrate itself so that it recognizes your child as a legitimate person on the premises while your child grows from toddler into school age into teenager? Do you need to buy a new camera when you get married just to add your spouse to the list of residents in your house? Can you fix the world around us so that it does not change beyond the sensor drift? The world around us is constantly changing, so we need our technology to be able to evolve with us. Embedded: Once a model is deployed, if an organization identifies a new need with different feature selection, won’t an entirely new model be required. So does have the capability to perform on-device training help in this case?Gorshechnikov: If you use the word ‘feature’ the same way that I do, then think about it this way: features are the properties of the input. For all inputs of the same modality, the features are the same. For images you have edges, colors, textures, and so forth on the low level, and the combinations of these on the high level. Now, as you have said, an organization needs a different feature selection. They use the same features, since input modality has not changed, just different combinations became important. Basically, if your system is modular and you can separate feature extraction from the learning module, all you need to satisfy this change is to retrain your learning module. So yes, adding ability to do this on device leads to your customer being able to adapt the system to their new requirements without reengaging you. Plus, and it is quite beneficial in many cases, there is no need to move data from the edge to the server or even follow identical training sequences for different edges, devices for warehouses in Alaska can be trained differently from those in Texas. center_img Predictions are much lower bandwidth than the raw sensor data (e.g. video) The need to disperse computational power to the edge, i.e. more cost and complexity in the widest part of the hierarchy August 1, 2018 at 7:34 am Embedded: What’s different about Neurala’s approach?Gorshechnikov: Our system is exactly as I described above at its core: modular, with feature extraction part factory pretrained for particular input modality and often hardware, and a fast learning part that can learn combinations of these features as definitions of objects or events after deployment. Embedded: Neurala describes its approach in reference to actual neurophysiological cortical and subcortical structures and acetylcholine (ACh). What’s the motivation behind that and what are the corresponding elements in your architecture?Gorshechnikov: According to popular opinion, the human brain is the only intelligent system on this planet. Naturally, it serves as an inspiration for all our work. Consider the development and functionality of the brain: sensory processing in cortical structures is formed early in life. This is our feature extraction module. Although there are individual differences between us at this stage, they are minor. We all have cells that respond to edges, colors, motion, and so forth. Thus, this part can be factory pretrained without loss of functionality. Hippocampus is only fully formed in humans by the age of three. Its main function is to create episodic memories by linking already known features together. That is what makes each human unique: different life experiences. And this is our fast learning module, the system only needs it after features are formed, and most of the learning in it happens after deployment. The different levels of ACh signal in humans whether we are awake (and have new sensory input) or asleep (sensory input is shut off). Naturally, you can implement it as a simple binary flag in the ML system. Having it allows our system to adjust the feature extraction module in the slow learning regime based on the information stored in the fast learning module, although this is better done on the server rather than on the edge. You can take the brain paradigm further and realize that our system as it is is missing prefrontal cortex, an intelligent decision maker that is fully formed in humans by the time we reach early twenties. Embedded: In your keynote talk at ESC in Boston earlier this year, you used these cortical structures to describe additional processing Neurala adds behind conventional YOLO (you only look once) layers in your fast learning module (see image below). After the YOLO layers, how is your approach completing the process?click for larger image (Source: Neurala) Gorshechnikov: YOLO answers two questions: where in the image the object is and what it is. For now our system only takes over the answer to the second question. How does YOLO answer this question? By analyzing the features of a particular region of the image where the object is and comparing them to the features of pretrained objects. What does our system add? An ability to learn on the fly the new combinations of features as new objects. There is very minimal effect on the data flow and transformations. Embedded: What’s the sweet spot in terms of applications for this approach?Gorshechnikov: I believe any time you prefer the human-like ability to adapt (through some more mistakes, naturally) to more perfect but fixed system, that is our sweet spot. For example, we have a customer whose environment changes every three weeks, but the server-side update of the system (without on the edge learning) takes two weeks. Our solution fits right in. Embedded: For what sort of application is this approach less suited?Gorshechnikov: Factory quality control is the first that comes to mind. Error rates required there are usually lower than neural networks can provide in general, and the environment only changes when new parts are introduced to the process, which is rare and can be accommodated for using conventional server update. Embedded: From the developer’s point of view, what’s different about the process for implementing this approach, specifically in the model development flow, deployment, and retraining?Gorshechnikov: Not all DNNs are equal in extracting high quality features, which are crucial for L-DNN to succeed. During development we pay special attention to ensure that features are consistent and separable for different kinds of objects. Unfortunately, there is almost always a trade-off between the quality of features and the model size and speed, so we have to balance on the edge to be deployed on the edge. As for retraining, the usual neural network criteria apply: if your feature extractor was trained in bright light, there will be little success in retraining our system in the dark and so forth. Embedded: Is there a path to your system from other frameworks or libraries? To what extent can a developer leverage what they’ve developed with another framework or library in using your system?Gorshechnikov: Indeed there is. Our SDK allows using neural networks trained with Caffe and TensorFlow, so whatever network you prefer for feature extraction can serve as a basis for our L-DNN system. The fast learning module though you would need to add using our SDK directly, this network is not supported on the widely available frameworks. Embedded: Regarding the significantly smaller training sets required with this approach, to what extent does the engineer have to do more work in refining or doing feature engineering on an optimal training set than they might with another technique?Gorshechnikov: We add a few extra parameters to tweak, but given that the training cycle is very fast, you can do a whole parameter sweep in less than a day with a script. Embedded: Also regarding the smaller training set, to what extent does that limit the model’s ability to generalize, or is this approach best suited to highly specialized problem sets?Gorshechnikov: The ability to generalize for L-DNN is mostly inherited from the underlying feature extractor module. If the features for all instances of a certain objects are nicely clustered together into one region of a feature space, then a single image for this object is enough to generalize to all other images. Embedded: What sort of on-device training and inference performance can one expect for a reasonable range of models across various hardware platforms?Gorshechnikov: The inference and training time for L-DNN tend to be near identical with each other, regardless of the underlying hardware. This execution time and power consumption is the sum total of performance of the feature extractor network, and the performance of the fast learning module. As previously mentioned, the former can run on a variety of frameworks, and some of these frameworks have dedicated hardware acceleration available, whereas we have CPU and GPU implementations of the fast learning module. For the i7 CPU the learning and inference times are around 95ms, nVidia GTX 1060 7ms, nVidia TX1 GPU 28ms, Samsung Galaxy 8+ using GPU inference 130ms, training 145ms, all these numbers collected using modified greynet as a feature extractor. On a specialized neural processor used for feature extraction (modified squeezenet) combined with CPU for fast learning module, the inference time is 20ms. Embedded: What’s next with this approach in terms of both remaining issues and opportunities? Gorshechnikov: More flexibility and precision in answering the “where” question. That includes both bounding boxes and instance segmentation. And in the long run, remember, we are still missing the “prefrontal cortex” in our system, so it is a teenager at best – so, no driving without adult supervision, no voting rights, and no jury duty until we develop it further. Share this:TwitterFacebookLinkedInMoreRedditTumblrPinterestWhatsAppSkypePocketTelegram Tags: Advanced Technology, IoT Log in to Reply Performing updates to the AI logic are more cumbersome to distribute It allows for local adaptation in the AI logic (L-DNN) last_img

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first_imgMats Hummels will help to remedy a lack of quality that hampered Borussia Dortmund in the Bundesliga last season, according to team-mate Marco Reus.Experienced defender Hummels returned to Signal Iduna Park for a second spell in June, making a €31 million (£28/$35m) switch from Bayern Munich just three years after leaving Dortmund.In the years without Hummels, Dortmund finished third, fourth and second in the Bundesliga while Bayern clinched the title each season, but the gap between the two sides was just two points at the end of a tense 2018-19 campaign. Article continues below Editors’ Picks Emery out of jail – for now – as brilliant Pepe papers over Arsenal’s cracks What is Manchester United’s ownership situation and how would Kevin Glazer’s sale of shares affect the club? Ox-rated! Dream night in Genk for Liverpool ace after injury nightmare Messi a man for all Champions League seasons – but will this really be Barcelona’s? Reus, who played alongside Hummels for four seasons at club level and for eight years in the national team, said his return could make the difference as Lucien Favre’s men go in search of their first title since 2012.”He [Hummels] brings quality,” Reus told reporters. “That’s most important. We were missing that last year.”Of course, we had positive developments last season. Nobody expected that. But if we want to win the Bundesliga and advance further in Europe, we need good players.”We found that in Mats and the other players we got.”Dortmund have also added Thorgan Hazard, Nico Schulz and Julian Brandt to Favre’s squad, along with the permanent signing of last season’s loan star Paco Alcacer, as they prepare to compete for honours in a division that Reus claims is shaping up to be stronger than it was last term.With Julian Nagelsmann taking over as head coach of RB Leipzig and Bayern splashing out €115m on Lucas Hernandez and Benjamin Pavard following the departures of Arjen Robben and Franck Ribery, Reus is bracing himself for stiff competition.”What happens with Bayern is nothing I can control,” said Reus.”I think even if they didn’t buy new players they would have a strong team. They won the Bundesliga seven times in a row – that says everything.”True, they lost some very good players who ended their careers, but we will see how the season goes.”I hope it will be an exciting season and we cannot forget the other teams. Leipzig, with a new coach and new players, were very strong in the second part of the season.”So, this could be between two, three, maybe even four teams until the end.”last_img read more

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first_img Clemson OL John Simpson, who is cosplaying as Trevor Lawrence at ACC Media Day, says that Notre Dame was a tougher test than Alabama.Clemson crushed both teams in the College Football Playoff. After casting aside the Fighting Irish 30-3, the Tigers stunned ‘Bama 44-16.LOTS of questions here at Media Day about the Alabama remarks about Clemson/Clemson not getting its credit. John Simpson says Notre Dame -not Bama- was the best team Clemson played.— Grace Raynor (@gmraynor) July 17, 2019I assume Simpson was taking a shot back at Moses with this quote, though by score, he’s not wrong. The Tigers beat Notre Dame by 27 and Alabama by 28.Of course, by that metric, Syracuse was the toughest test that Clemson faced. The Orange nearly stunned Clemson for a second straight season during the regular season, giving up the lead late to fall 27-23.Either way, the Tigers went 15-0, capping one of the most impressive seasons in modern college football. If Alabama players truly think that was a fluky result, they may very well get their shot at a rematch yet again this winter. Notre Dame RB Dexter Williams rushes against Clemson.ARLINGTON, TEXAS – DECEMBER 29: A.J. Terrell #8 of the Clemson Tigers tackles Dexter Williams #2 of the Notre Dame Fighting Irish in the second half during the College Football Playoff Semifinal Goodyear Cotton Bowl Classic at AT&T Stadium on December 29, 2018 in Arlington, Texas. (Photo by Ronald Martinez/Getty Images)Alabama and Clemson don’t share a conference, and if they face each other yet again, it will be in the post-season. That didn’t stop the two teams from firing some barbs today.ACC and SEC Media Days featured Clemson and Alabama respectively today. Naturally, players from those teams were asked about their national title game counterparts.Crimson Tide linebacker Dylan Moses opened things up with a controversial take. While ‘Bama beat Georgia and was blown out by Clemson, he said that the Dawgs were the tougher team to face.Clemson has responded in kind from Charlotte.last_img read more

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Rabat – American film director James Gray will chair the jury of the 2018 Marrakech international Film Festival (FIFM) November 30 to December 8. “The Marrakech Film Festival is a unique place where the language of cinema brings together people from all over the world. It is an immense honor to be named president of the jury and to return for the third time in this great festival,” said the filmmaker in a statement issued Wednesday by the organizers.Born in New York, the 49-year-old artist grew up in Queens but studied at the Film and Television School of the University of Southern California. Gray made his film debut in 1994 at the age of 25 with “Little Odessa,” a critically-acclaimed film that won the Critics’ Prize at the Deauville Festival and the Silver Lion at the Venice Film Festival. He was named the same year to the Independent Spirit Awards for the Best First Feature Award and the Best Screenplay Award. His second film, “The Yards,” was selected to show in the 2000 Cannes Film Festival, just as “We Own the Night” in 2007. In his latest film, “Two Lovers,” nominated for the Césars, James Gray teams up for the third time with actor Joaquin Phoenix. The romantic drama, set in Brooklyn, also stars Gwyneth Paltrow and Isabella Rossellini. “Two Lovers” was selected to show in 2008 at the Cannes Film Festival.Gray has collaborated with the biggest names in Hollywood such as Brad Pitt, Gwyneth Paltrow, and Charlize Theron.Since its inauguration in 2002, the FIFM has welcomed notable cinematic personalities, including Francis Ford Coppola, Charlotte Rampling, Martin Scorsese, and Marion Cotillard. Last year, Marrakech’s festival was cancelled “in order to allow the festival to advance in its mission not only to promote Moroccan cinema, but also to open up to other cultures,” said the organizers in a statement. read more

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3 November 2011The United Nations agency helping the rural poor announced today it is awarding almost $18 million in loans and grants to Mauritania to boost the incomes and living conditions of thousands of people in the arid country. The funding will be used to help rural households – more than half of Mauritanians are employed in agriculture – to significantly increase their production, according to a press release issued by the UN International Fund for Agricultural Development (IFAD).The $17.9 million in loans and grants will also be used to create jobs for young people, help women acquire access to economic opportunities and improve food security for local communities.IFAD said an estimated 21,000 households, women and young people stand to benefit from the latest phase of the project, which began in 2002 in an area of Mauritania known as the “poverty triangle.”The agency’s President Kanayo F. Nwanze signed the agreement for the funding with Mauritania’s Economic Affairs Minister, Sidi Ould Bebaha Ould Tah, at a ceremony in Rome, where IFAD is based.Created in 1978, IFAD has invested more than $115 million in Mauritania in the years since then through a series of programmes and projects targeting at least 180,000 households. read more

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The South China Sea disputes should be resolved through bilateral talks between China and the countries concerned, General Secretary of Sri Lanka’s ruling United National Party Kabir Hashim said Tuesday.Hashim made the remarks during his meeting with Song Tao, head of the International Department of the Central Committee of the Communist Party of China (CPC), the Xinhua news agency reported. Regional affairs should be settled through consultations among those directly concerned, rather than being subject to external forces, Hashim said. Hashim said China is a significant force to maintain regional peace and development, and Sri Lanka believes the CPC and the Chinese government will play a more active role in this regard. (Colombo Gazette) read more

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However officials at the Prime Minister’s office said that only matters related to the economy were discussed.The governor of the Central Bank Arjuna Mahendran also attended the discussion. After the meeting the President briefed the staff of the Central Bank. (Colombo Gazette) President Maithripala Sirisena and Prime Minister Ranil Wickremesinghe held key talks at the Central Bank today on the state of the economy.There was speculation a new governor will be named after the meeting.

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Addressing a special event at UN Headquarters on Confronting the Silence: Perspectives and Dialogue on Structural Racism against people of African Descent Worldwide, Mireille Fanon-Mendes, Chair of the UN Working Group of Experts on People of African Descent said that the attacks on human dignity are elaborated due to “supposed hierarchy of races and cultures and do not concern only one or [another], but the entire international community.”The discussion was organized by the Office of the UN High Commissioner for Human Rights, with the co-sponsorship of the Unitarian Universalist Association, the UN Department of Public Information, UN Educational, Scientific and Cultural Organization (UNESCO), the Organisation Internationale de la Francophonie, Black Lives Matter, and Amnesty International USA. Among other speakers, the event featured welcoming remarks by Ivan Šimonović, UN Assistant Secretary-General for Human Rights, who recalled that the gathering was being held in the context of the International Decade for People of African Descent, who, he said are a distinct group that regrettably faces racism and structural discrimination, and continue to face impediments to the realization of their rights.“Slavery and the slave trade are the basis of the widespread and systemic manifestations of racism, racial discrimination and xenophobia…that we see people of African descent face today,” he said, adding that colonialism reinforced the challenges and they were further reinforced by, among others, modern day social and economic marginalization. In her remarks, Ms. Fanon-Mendes said that in addition to historical consequences [people of African descent] had to face, they and Africans – with colonialism and economic migration or because of war¬¬ – are the only ones subject to discrimination based on skin colour; a biological parameter that completely escapes the control of the victim of this ostracism. She added: “The hierarchy of races is scientifically false, morally condemnable, and socially unjust.”She urged Member States to reverse the “process of invisibility and inferiority” that the people of African descent face and to acknowledge their legitimate aspirations.Ms. Fanon-Mendes said that coordination of Member States and civil society will help in ensuring that “the legacy of this terrible history” is overcome. She further called for historicizing of slave trade in in order to achieve an assumed and shared history and to form an accurate sequence of the order of construction of racism.“To question the political and social construction of race, including its role at the time of the abolition of slavery [during which the freemen] had no other choice than to continue working on the plantations of their former masters, is an essential step if we want to emerge from a traumatic past,” she explained.She also stressed the need to deconstruct all assumed racial myths by “flushing out” any factor that contributes to inequality and structural discrimination.Another keynote speaker, UNICEF Goodwill Ambassador Harry Belafonte, recalled his time with legendary African American actor, Paul Robeson, who had said artist are the gatekeepers of truth; humanity’s moral compass. As such, Mr. Belafonte continued, he sought to use the arts as a tool to bring the human family together.Continuing, he said that while the “mighty alliance” of the Second World War was supposed to have brought an end to fascism and intolerance, “one serious flaw was that the Allies were as guilty of racial oppression as was Hitler.” Decades of racial oppression, discrimination and intolerance, before and since the war, have meant that “most people of colour know very little about the diaspora…the depth of us as African descendants, is not known one to the other. Yet, Mr. Belafonte stressed that the United Nations is “the place to sit and have a conversation about settling the affairs of the cruelty of racism and classicism,” and he looked forward to the discussions that were ahead and the presentations of the other speakers and participants.Also addressing the event, Mutuma Ruteere, UN Special Rapporteur on contemporary forms of racism, racial discrimination, xenophobia and related intolerance said the grave issue of racial profiling across the world “impairs the fundamental rights of individuals and groups and expands on discrimination already suffered as a result of ethnic origin or minority status.”He emphasized that racial and ethnic profiling is prohibited under international human rights law, as it violates multiple human rights, including the right to live free from discrimination, the right to equality before the law, the right to personal freedom and security and the right to the presumption of innocence.“The manifestation of racial profiling has often been observed in stop and check operations which in some places disproportionately target minority groups. In Europe for instance, minorities including Roma people suffer unequal levels of stops by police. Similarly people of African descent have historically been subjected to practices of racial profiling,” said Mr. Ruteere.He also remarked that newer patterns of racial and ethnic profiling have surfaced since Member States took measures to counter terrorism in the recent years.“Migrants and minority groups have been particularly susceptible to the adverse effects of these new law enforcement practices. In the context of immigration, official border crossings and hubs of transportation, such as airports, railway stations, and bus depots, have been consistent places where racial and ethnic profiling takes place,” Mr. Ruteere explained.He expressed concern at the creation of “risk profiles” for specific ethic groups by law enforcement agencies, as this generates fear “that racial and ethnic profiling may become a regularized and permanent fixture of immigration and border control management systems around the world.”Additionally, he also said that racial profiling in administration of justice has led to “unjust and disproportionate punishment of individuals of traditionally discriminated against groups including People of African descent.”He said that such practices have led to criminalization and handing out harsher punishment for using certain kinds of recreational drugs, which disproportionately affect minorities. “Studies have identified correlations between racial status and harsher criminal sentences, and evidence from different countries around the world shows that implicit biases have noticeable effects on criminal investigations,” said Mr. Ruteere.At the same time, Mr. Ruteere observed that a number of Member States have made efforts to tackle racial profiling through the adoption of laws and policies, the establishment of adequate institutional frameworks such as oversight and equality bodies; and the implementation of training and awareness-raising initiatives.“I also recommend that States gather law enforcement data, including statistics disaggregated by ethnicity and race, which are essential in order to prove the existence and the extent of racial and ethnic profiling,” said Mr. Ruteere, stressing that more should be done to effectively address the issue of racial profiling.Lastly, he stressed that investigative oversight bodies should have the authority to address allegations of racial and ethnic profiling, and make practical recommendations for policy changes and called for the effective regulation of the discretionary powers of law enforcement personnel in order to reduce the risks. read more

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first_imgLATVIAN OFFICIALS HAVE delayed a search for victims of the supermarket roof collapse that killed at least 54 people, citing safety concerns.Interior Minstry official Ilze Petersone-Godmane told reporters: Surveys have been carried out overnight to establish the safety of the building, but we must wait until we have full results before we can resume work.Petersone-Godmane added that controlled demolitions of unstable areas could go ahead in the afternoon.Rescue crews had appeared to be winding down their search late last night when a third section of roof collapsed forcing a halt to work for reasons of safety.Emergency medical services chief Armands Plorins said today the chances of finding anyone alive were “practically speaking, zero.”President Andris Berzins has demanded a swift and thorough investigation of what he said was the “mass murder of defenceless people”.Police said that seven of 13 people who had earlier been reported missing remain unaccounted for.Part of the roof at the two-year old Maxima supermarket crashed down during peak shopping hours on Thursday. A second collapse killed three firefighters who were among rescue teams already inside the building.SpeculationSpeculation about the cause of the disaster has centred on the construction of a rooftop garden and on the possibility that building regulations may have been bent as the structure was only two years old.The small Baltic nation of two million began a three-day mourning period yesterday as it struggled to come to terms with its worst disaster since independence in 1991.Latvians also marked the annual All Souls feast of the dead today by lighting candles at the graves of relatives.Flags across the country were flown with a black sash of mourning and a minute’s silence is planned for Monday.Read: Latvia probes store disaster as hopes dim of finding survivors>Read: Death toll in Latvia supermarket roof collapse doubles>last_img read more

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first_imgARSENAL MANAGER Arsene Wenger rounded angrily on his critics today ahead of tomorrow’s crucial Champions League last-16 first leg tie against Bayern Munich.Wenger was in a tetchy mood today after suffering a barrage of abuse from fans and pundits following his side’s FA Cup exit on Saturday, when the Gunners were beaten 1-0 at home by Championship side Blackburn.That represented the second humiliation of Arsenal’s lacklustre campaign following their elimination from the League Cup at the hands of fourth-tier Bradford.After enduring 48 hours of criticism in the court of public opinion, Wenger made it clear he felt it was time for him to have his say, and that he expected his players to back up his words on the pitch against a Bayern side currently top of the Bundesliga thanks to 18 victories from 22 league games.“We play for Arsenal Football Club, we are in the last 16 of the Champions League, we have qualified for a long, long time,” Wenger said at a pre-match press conference. “What is important is not what people say but what we produce on the football pitch.“We live in a democracy of experts and opinions and we have to live and cope with that. We have to show we have the mental strength to deal with any opinion. There are a lot of experts who are not always right.”Many critics claimed Wenger was wrong to send out a starting line-up against Blackburn that had not included Theo Walcott, Jack Wilshere or Santi Cazorla. But all three came on as substitutes with the game goal-less and Wenger refuted the accusation that he doesn’t take the Cup seriously.YouTube: football via 101greatgoals“Look, I have been accused of not taking seriously the FA Cup on Saturday. I won the FA Cup four times,” Wenger said. “Who has won it more? Give me one name. The second thing is that we have been accused of not putting a strong team out.“That is an insult to the players who started the game and we didn’t lose the game with the players who started. We lost in the last 20 minutes. “There is a lot of superficial analysis that you cannot accept. We have to take the blame because we went out but for the rest you have to put it in perspective. One guy says something and everybody goes the same way.”Despite Wenger’s protests that he is unfairly treated, reports on Monday claimed the Frenchman was set to be given a new two-year contract. Yet even that story provoked an oddly angry reaction from Wenger.“That is the wrong information,” he said. “I have worked for 16 years here in England and I deserve a bit more credit than wrong information. That report had only one intention and that is to harm. It came from nowhere and is completely wrong.”- © AFP, 2013Bobby Robson would have been 80 today so here are some of our favourite picsRoberto Mancini: I’m the best manager in Englandlast_img read more

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first_imgImage via ShutterstockThe oldest (and we’d wager most successful) trick in the book was to get your friend to go up to the person and polite inform them that you were interested in them and  that if they were too then you should let your friend know.Definitely the way that all long lasting relationships start.2.  Faking a shared interestf-ckyeah1990s / TumblrWhether you pretended to have a knowledge of some sporting team or perhaps developed a completely staged interest in Pogs you’d always find  a way to share a new interest with your crush on the off-chance they’d suddenly fall for you.Genius plan really.3.  A request on the radioRemember the days of being holed up in your room with only the local radio request show for company while you sneakily taped songs off the radio?Nothing made a bolder statement about whether you liked someone or not then by dedicating a hit song to them.Or even just leaving your initials in the request. Either way it was the ultimate smooth moveIt was a bit like this scene from Friends but hopefully it went a bit better when you tried it:mutje tjitrodimedjo /YouTube4.  The note in the lockerImage via ShutterstockThere was nothing like the school locker for leaving a covert little note.It was basically an early version of the sneaky private message on Facebook.The note itself could be as to the point or subtle as you like but it was definitely a good way to get someone’s interest.5.  Pretend they were funny (even if they weren’t)Paying attention to someone was a great way for them to figure out you liked them and the ultimate way to do that was to laugh really hard at anything remotely funny they did.Even if they weren’t that funny. FierceGifs / Tumblr6. Impressing their friendsThe best way to let someone know you like them was to get on board with their gang of friends so they could slowly see how great you were before you hit them with the info that you have a crush.Basically you listened to the lyrics of this Spice Girl hit and took it to heart:Sontax25 / YouTube7. A Valentine’s or Christmas cardThis is really going for it, sending that all important card for a special occasion that really lets them know you are ready to show an interest.We’re thinking something in this vein:via Imgur8. Stand outside their house holding a boombox You could have just gone for some 80s movie inspired romance maybe replicating this John Cusack classic:Ines Fonseca / YouTubeProbably the best way to tell someone you like them really.7 great moments from last night’s MTV Movie Awards>‘The Condom Challenge’ is the newest horrifying YouTube trend> AIN’T LOVE GRAND? And there’s nothing more grand than young love.When you were a kid romance was a hard to thing to get going and telling someone you had a crush on them was very complicated.You couldn’t friend them on Facebook and send a cheeky private message but you were too shy to just approach them and tell them you liked them.So here are some of the ways you tried to tell someone you fancied them in those hallowed childhood days.1. Use your friend as a messengerlast_img read more

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first_imgVoight-Kampff machine from Blade RunnerWhen a person lies there are a number of tells that a trained professional can use to spot them. The accuracy of detecting a lie is around 65% for an expert interrogator. But that job may soon fall to a machine rather than a person.Research being carried out at the University of Buffalo Center for Unified Biometrics and Sensors (CUBS) has created a new automated eye tracking machine. Testing has shown it can achieve a lie detection rate of 82.5% — well beyond what any human can achieve, even those fully trained and with lots of experience.Our eyes usually give us away when we lie due to their movement. Regular eye movement under questioning usually means we are being truthful, but if that movement changes suddenly and drastically then it’s probably going to be due to a lie being told. This is what the CUBS system looks for when monitoring a person’s eyes, and the 82.5% success rate was garnered from 40 conversations the machine viewed.In the past CUBS researchers have experimented with monitoring heat changes in the body or facial movement, but neither are as reliable for detecting lies as eye movement. However, with eye analysis now working well, the system can be expanded to monitor other areas too, with the next stage being body movement.People who are good at lying know how to control their movements when telling a lie. However, it’s much more difficult to keep your eye, facial, and body movement in check, as well as maintaining a body temperature, suggesting that eventually a machine will become the ultimate lie detector no one can beat.More at the University of Buffalo, via Science Daily. Image courtesy of The Future is Here.last_img read more

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first_imgGoogle autorisé à racheter Motorola par l’Union EuropéenneGoogle est autorisé à racheter Motorola Mobility, comme annoncé cet été. La commission européenne et le département de la Justice des Etats-Unis ont validé tous deux cette acquisition.Le géant Google est désormais officiellement propriétaire de Motorola Mobility. Le moteur de recherche avait annoncé son acquisition durant l’été 2011 pour un montant total de 12,5 milliards d’euros mais celle-ci devait faire l’objet d’une validation par les instances américaines et européennes. Selon Reuters, le département de la Justice des Etats-Unis et la Commission européenne ont rendu un avis favorable à ce rachat de la branche mobilité de Motorola par Google.À lire aussiMaladie de Charcot : symptômes, causes, traitement, où en est on ?”Nous avons approuvé l’acquisition car après mûre réflexion, cette transaction ne soulève pas en elle-même de problème de concurrence”, a déclaré le commissaire européen à la Concurrence Joaquin Almunia. Mais ce dernier soulève tout de même les risques d’abus de Google par rapport à l’impressionnant portefeuille de brevets que celui-ci acquiert avec Motorola Mobility : “Cette décision n’implique absolument pas que nous ne soyons pas préoccupés par la possibilité qu’une fois Google propriétaire du portefeuille de brevets, il ne puisse abuser de ces brevets, reliant certains d’entre eux à ses équipements Android. C’est notre inquiétude. Il est possible que nous devions ouvrir des dossiers ultérieurement; ce n’est pas suffisant pour bloquer la fusion mais nous serons vigilants.”Reste les autorités chinoises qui doivent selon toute vraisemblance se prononcer sur la question aux alentours du 20 mars prochain. Google, avec Motorola dans ses rangs, devient propriétaire de 15.000 brevets tournant autour des techniques de télécommunications et de 7.500 demandes en attente de validation. Un argument de poids dans la guerre que se livrent les géants du secteur depuis un an, déposant plainte sur plainte pour protéger leur propriété intellectuelle. Google pourra désormais protéger son système Android mais également les constructeurs qui l’utilisent dans de nombreux produits, Samsung en tête.Le 14 février 2012 à 16:40 • Maxime Lambertlast_img read more

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first_imgThe American Soybean Association (ASA), along with 137 other agricultural organizations including 12 state soybean affiliates, sent a letter to Senator Lisa Murkowski (R-Alaska) supporting her introduction of a resolution of disapproval regarding the decision of the U.S. Environmental Protection Agency (EPA) to move forward on regulating carbon dioxide and other greenhouse gases (GHG) under the Clean Air Act (CAA). ASA believes that EPA should not regulate GHG under the CAA, and that unilateral action by the U.S. will further erode our global competitiveness and have negligible impact on global warming.”The EPA rule itself claims to establish only a weak, indirect link between greenhouse gases and public health and welfare, going so far as to admit there are uncertainties over the net, direct health impacts of the greenhouse gases it is attempting to regulate,” said ASA President Rob Joslin, a soybean producer from Sidney, Ohio. “EPA’s finding puts the agricultural economy at risk despite the lack of any significant environmental benefit.”Both the current and past Administrations have acknowledged that the CAA is not the appropriate vehicle for establishing greenhouse gas policy. However, this EPA finding that GHG endangers public health and welfare will trigger CAA regulatory actions, such as application of National Ambient Air Quality Standards, New Source Performance Standards, and provisions of the Prevention of Significant Deterioration and Title V programs, essentially establishing GHG policy through the CAA by default.China and India, two of the largest emitters of greenhouse gases, continue to reject any verifiable reduction measures. Without an effective international agreement on emission reductions, unilateral action by the U.S. only serves to further damage our economy and encourage businesses to relocate.”Such regulatory actions could carry severe consequences for the U.S. economy, including America’s farmers and ranchers, through increased input costs and international market disparities,” Joslin said. “More than half of the $33 billion U.S. soybean crop was exported last year as whole soybeans, soybean meal and soybean oil. Those exports support higher prices paid to farmers, jobs in rural America and throughout the value-chain, and our nation’s balance of trade.”The ASA state soybean affiliates joining ASA in signing the letter are the Alabama Soybean & Corn Association, Arkansas Soybean Association, Iowa Soybean Association, Kansas Soybean Association, Kentucky Soybean Association, Minnesota Soybean Growers Association, Missouri Soybean Association, Nebraska Soybean Association, Ohio Soybean Association, Tennessee Soybean Association, Texas Soybean Association and Wisconsin Soybean Association.last_img read more

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