Discussion on machine learning (ML) and hardware design has been picking up significantly in two fascinating areas: how ML can advance hardware design methods and how hardware design methods can advance building ML systems. Here I’ll talk about the latter, particularly about architecting ML-enabled SoCs. This approach is … 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 4X … Read More
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
Let’s take a look at the tremendous penetration of intelligent vision in so many and various applications. A few years ago, computer vision algorithms were implemented in applications directly linked with imaging, like computational photography for smartphones and cameras. We can mention today a bunch of segments like automotive,… 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
My first brush with AI was a LISP class for my undergraduate degree. LISP, originated from MIT in 1958, was the language of choice for AI research and spawned a new class of computer hardware called LISP Machines in the 1980s. My first personal experience with AI was the HAL 9000 system from the 2001 Stanley Kubrik movie Space Odyssey.… Read More
Research on deep learning and convolutional neural networks (CNNs) is on the rise – and embedding new algorithms is drawing more attention. At CVPR 2016, CEVA is launching their 2[SUP]nd[/SUP] generation Deep Neural Network (CDNN2) software with new support for Google TensorFlow.… Read More
Every day I read stuff about the coming of fully autonomous vehicles, and it’s not every day we get a technologist’s view of the hurdles faced in getting there. Chris Rowen, CTO of Cadence’s IP group, gave one of the best presentations I’ve seen on ADAS technology and convolutional neural networks (CNNs) at #53DAC, pointing… Read More
