Artificial Intelligence (AI) has witnessed explosive growth in applications across various industries, ranging from autonomous vehicles and natural language processing to computer vision and robotics. The AI embedded semiconductor market is projected to reach $800 billion by year 2030. Compare this with just $48 billion… Read More
DSP and AI are generally considered separate disciplines with different application solutions. In their early stages (before programmable processors), DSP implementations were discrete, built around a digital multiplier-accumulator (MAC). AI inference implementations also build on a MAC as their primitive. If the interconnect… Read More
As more AI applications turn to edge computing to reduce latencies, the need for more computational performance at the edge continues to increase. However, commodity compute engines don’t have enough compute power or are too power-hungry to meet the needs of edge systems. Thus, when designing AI accelerators for the edge, Joe… Read More
Whenever a new partnership is announced, the natural question is, “why?” What will this partnership make possible that wasn’t already possible with those two companies working independently? I talked yesterday with Frank Schirrmeister of Arteris on the partnership. (Yes, Frank is now at Arteris). And I just got off an Arm press… Read More
From a business viewpoint we often read in the technical press about the virtues of applying AI, and in the early days most of the AI model building was done in the cloud, because of the high computation requirements, yet there’s a developing trend now to use AI accelerators at the Edge. The other mega-trend in the past decade… Read More
Let’s face it, AI is everywhere. From the cloud to the edge to your pocket, there is more and more embedded intelligence fueling efficiency and features. It’s sometimes hard to discern where human interaction ends, and machine interaction begins. The technology that underlies all this is quite complex and daunting to understand.… Read More
As the Linley Fall Processor Conference winds down, there are certain presenting companies that left a lasting impression. SiFive is one of those companies. On October 21, SiFive introduced the newest member of the SiFive Intelligence family of processor coresSiFive Intelligence family of processor cores, based on… Read More
Here is another installment regarding presentations at the Linley Fall Processor Conference. Every now and again, you see a presentation at an event like this that shakes you up. Sometimes in a good way, sometimes not so much. I attended the Cornami presentation on its new TruStream computational fabric and I was definitely shaken… Read More
On October 20 at the Linley Fall Processor Conference, GLOBALFOUNDRIES made a compelling case for designing smarter, not smaller AI chips. The virtual conference was filled with presentations on the latest architectures and chips for all types of AI/ML applications. It was therefore a refreshing change of pace to hear the fab… Read More
Anyone who frequents SemiWiki will likely know Moore’s Law. The prediction made by Gordon Moore over 50 years ago regarding the relentless increase in transistor density and reduction in cost has tracked well for a very, very long time. In recent years, there has been spirited discussion about the end of Moore’s Law. This is a discussion… Read More
