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In March, an AI event was held at the Computer History Museum entitled “ASICs Unlock Deep Learning Innovation.” Along with Samsung, Amkor Technology and Northwest Logic, eSilicon explored how these companies form an ecosystem to develop deep learning chips for the next generation of AI applications. There was also a keynote … Read More
There’s been a lot of discussion of late about deep learning technology and its impact on many markets and products. A lot of the technology under discussion is basically hardware implementations of neural networks, a concept that’s been around for a while.
What’s new is the compute power that advanced semiconductor technology… Read More
High Bandwidth Memory (HBM) systems have been successfully used for some time now in the network switching and high-performance computing (HPC) spaces. Now, adding fuel to the HBM fire, there is another market that shares similar system requirements as HPC and that is Artificial Intelligence (AI), especially AI systems doing… Read More
On the heels of successful seminars in Tokyo and Shanghai, eSilicon is starting the new year back in the cloud with a webinar version of the live events for those, like myself, who could not attend. The webinar will compress the 3 hour live event into 60 minutes which will provide a great place to start a conversation on your next chip… Read More
I remember the days of the IDM (integrated device manufacturer). For me, it was RCA, where I worked for 15 years as the company changed from RCA to GE and then ultimately to Harris Semiconductor. It’s a bit of a cliché, but life was simpler then, from a customer point of view at least. RCA did it all. We designed all the IP, did the physical… Read More
One of the more exciting design start market segments that we track is Artificial Intelligence related ASICs. With NVIDIA making billions upon billions of dollars repurposing GPUs as AI engines in the cloud, the Application Specific Integrated Circuit business was sure to follow. Google now has its Tensor Processing Unit, Intel… Read More
The challenges of 7nm are well documented. Lithography artifacts create exploding design rule complexity, mask costs and cycle time. Noise and crosstalk get harder to deal with, as does timing closure. The types of applications that demand 7nm performance will often introduce HBM memory stacks and 2.5D packaging, and that creates… Read More
Artificial intelligence, or AI is really heating up these days. The technology has been around for decades, but of late it is becoming quite a focus for applications such as data center analytics, autonomous vehicles and augmented reality. Why the rebirth? The trend appears to be driven by two forces – availability of data to train… Read More
In 1969 the Internet was born at UCLA when a computer there sent a message to a computer at Stanford. By 1975, there were 57 computers on the ‘internet’. Interestingly in the early seventies I actually used the original Xerox Sigma 7 connected to the internet in Boelter Hall at UCLA. A similar vintage computer is now in this room commemorating… Read More
The first transistor was made of two electrodes, held in place by plastic, making contact with a piece of doped germanium. Ever since then, devices and their packaging have been performing a complicated and oftentimes intricate dance. Single transistor devices became integrated circuits, and along the way separate IC’s were… Read More
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