If you read an article dealing with Convolutional Neural Network (CNN), you will probably hear about the battle between CPU and GPU, both off-the-shelf standard product. Addressing CNN processing needs with standard CPU or GPU is like having to sink a screw when you only have a hammer or a monkey wrench available. You can dissert… Read More
Cadence recently hosted a summit on embedded neural nets, the second in a series for them. This isn’t a Cadence pitch but it is noteworthy that Cadence is leading a discussion on a topic which is arguably the hottest in tech today, with this range and expertise of speakers (Stanford, Berkeley, ex-Baidu, Deepscale, Cadence… Read More
Last week I have attended to the webinar from CEVA ““Challenges of Vision Based Autonomous Driving & Facilitation of An Embedded Neural Network Platform” and I loved that I have heard and seen. For the first time since I read about autonomous driving, I have seen a realistic roadmap and not a geek’s fantasy, suggesting that you… Read More
CEVA Webinar “Challenges of Vision Based Autonomous Driving & Facilitation of An Embedded Neural Network Platform” will be held on November 16[SUP]th[/SUP] and will address one of the hottest topics today in our industry, probably the hottest in the automotive industry as all the players are working hard on autonomous vehicles.… Read More
Convolutional Neural Network (CNN) recognition algorithm is generating very high interest in the semi industry. At first, because CNN provides best recognition quality when compared with alternative recognition algorithms. CEVA Deep Neural Network (CDNN) software framework, implemented with CEVA-XM4 imaging & vision… Read More
When Synopsys bought Virage Logic in 2010, ARC processor IP was in the basket, but at that time ARC processor core was not the most powerful on the market, and by far. The launch of EV6x vision processor sounds like Synopsys has moved ARC processor core by several orders of magnitude in term of processing power. EV6x deliver up to 100X… Read More
Probably the most interesting thing about Neural Networks is how they can be used for complex recognition tasks that we as people can easily perform but we might have a lot of trouble explaining how. One very good example of a problem that Neural Networks can tackle is determining when people are making a fake smile. Intuitively we… Read More
One conversation topic I hear these days is: the Internet of Things is coming and all the devices will be intelligent. It will be achieved by embedding some kind of AI technology or machine learning or reasoning or whatever into the devices themselves. … Read More
Macbeth may have been uncertain of what he saw but, until recently, image recognition systems would have fared even less well. The energy and innovation put into increasingly complex algorithms always seemed to fall short of what any animal (including us humans) is able to do without effort. Machine vision algorithms have especially… Read More
The IT industry marvels like augmented reality and artificial intelligence, which marked technological utopianism in the science fiction movies during the 1970s and 1980s, are here now, enabled by a machine-learning technique called deep learning.… Read More
