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Artificial Intelligence
It’s been more than two years since I started the AI chip list. We saw a lot of news about AI chips from tech giants, IC/IP vendors and a huge number of startups. Now I have a new “AI Chip Landscape” infographic and dozens of AI chip related articles (in Chinses, sorry about that :p).
At this moment, I’d like… Read More
I came across a report on the 100 most promising AI start-ups. The report claimed that CBInsights had “selected the 100 most promising AI start-ups from a pool of 3K+ companies based on several factors …” Wait, what … 3K+ companies!?!? This was a stunning reminder of the sheer magnitude of what is shaping up to be a veritable tsunami… Read More
A lot of the attention in intelligent systems is on object detection in still or video images but there’s another very active area, in smart audio. Amazon and Google smart speakers may be the best-known applications but there are more obvious (and perhaps less novelty-driven) applications in enhancing the hearing devices we already… Read More
In the semiconductor world when we hear “full-stack” we think of a chip, chipset or board with a bunch of software, which can be connected to sensors of various types on one end, trained networks in the middle and actuators on the other side. But of course that’s not really a full-stack. The real thing would be deployment of an entire… Read More
AI accelerators as engines for object or speech recognition (among many possibilities), are becoming increasingly popular for inference in mobile and power-constrained applications. Today much of this inferencing runs largely in software on CPUs or GPUs thanks to the sheer size of the smartphone market, but that will shift… Read More
If you practice in advanced levels of power management, you know about dynamic voltage and frequency scaling (DVFS). This is where you allow some part of a circuit, say a CPU, to run at different voltages and frequencies depending on acceptable performance versus thermal tradeoffs and battery life on a mobile device. Need to run… Read More
I recently wrote about The Implications of the Rise of AI/ML in the Cloud. In that article, I wrote about my expectation that the rapidly growing AI market will lead to the accelerated use of high-level synthesis (HLS), prototyping, and emulation. In this article, I will focus on the prototyping portion of that – specifically FPGA… Read More
Arm is a machine. They crank out new products in a wide range of categories, Project Trillium for AI, Neoverse for infrastructure, their Automotive Enhanced line and the Pelion IoT platform. And in each they have a regular beat of new product introductions following roadmaps they have already laid out. Not that you’d expect any … Read More
Recently, Daniel Nenni blogged on the presentation Wally Rhines gave at #56th DAC. Daniel provided a great summary, but I want to dive into a portion of the presentation in more detail. I love Wally’s presentations, but sometimes you cannot absorb the wealth of information he provides when you initially see it. It’s… Read More
By now, you should know about AI in the cloud for natural language processing, image ID, recommendation, etc, etc (thanks to Google, Facebook, AWS, Baidu and several others) and AI on the edge for collision avoidance, lane-keeping, voice recognition and many other applications. But did you know about AI in the fog? First, a credit… Read More
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