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Artificial Intelligence
Think because your new car is loaded with ADAS your insurance company should give you a break on premiums? Think again. The purpose of all those fancy features is to reduce the risk of an accident or damage to your car, either of which could be costly to your insurance company and quite possibly to you also. If you’re paying extra for … Read More
I’ve talked before about Mentor’s work in high-level synthesis (HLS) and machine learning (ML). An important advantage of HLS in these applications is its ability to very quickly adapt and optimize architecture and verify an implementation to an objective in a highly dynamic domain. Design for automotive applications – for … Read More
Tuesday July 9th was the first day the show floor was open at Semicon. The following is a summary of some announcements I attended and general observations.
AMAT Announcement
My day started with an Applied Materials (AMAT) briefing for press and analysts where they announced “the most sophisticated system they have ever released”.… Read More
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
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Intel to Compete with Broadcom and Marvell in the Lucrative ASIC Business