It is long past the time when general purpose processors could meet the needs of sensor fusion. Sensor fusion performs operations to process and integrate raw sensor data so that downstream processing is simplified and is performed at a higher level. When done properly it offers several other significant benefits such as lower… Read More
Wally Rhines is President and CEO of Cornami, Inc., a company named for its “tsunami of cores”. The company has developed a “TruStream” programming environment that generates independent executable streams of data and control. They have also designed a chip that provides the computational fabric for multi-core execution of… Read More
In all the hubbub about AI/ML, it’s easy to see why visual ML gets more attention. It’s got appeal because of applications such as autonomous driving. Because of this it’s easy to overlook the importance of audio ML. I own a Tesla and putting it into autopilot is very cool, but even it has voice recognition built in as an important feature… Read More
Machine Learning (ML) has become extremely important for many computing applications, especially ones that involve interacting with the physical world. Along with this trend has come the development of many specialized ML processors for cloud and mobile applications. These chips work fine in the cloud or even in cars or phones,… Read More
In early May of this year, eSilicon announced the tape-out of a test chip which included the latest additions to its neuASIC™ IP platform. At the upcoming Hot Chips Symposium to be held at Stanford on August 19 and 20, 2019, eSilicon will be demonstrating the software component of this AI-enabling IP platform. At the event, eSilicon… Read More
Security and machine learning (ML) are among the hottest areas in tech, especially for the IoT. The need for higher security is, or should be, blindingly obvious at this point. We struggle to fend off daily attacks even in our mainstream compute and networking environment. How defenseless will we be when we have billions of devices… Read More
Machine learning-based applications have become prevalent across consumer, medical, and automotive markets. Still, the underlying architecture(s) and implementations are evolving rapidly, to best fit the throughput, latency, and power efficiency requirements of an ever increasing application space. Although ML is … Read More
I’ve been following IBM’s AI efforts with interest for a quite a while now. In my opinion, the company jump-started the current cycle of AI with the introduction of Watson back in the 2000s and has steadily been ramping up its efforts since then. Most recently, I wrote about the launch of PowerAI, IBM’s software toolkit solution to… 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
