The investment into tackling AI hardware acceleration has grown at breakneck speeds, with many vendors starting 2nd, 3rd, or 4th generation designs. Due to the fierce competition and ever-growing application opportunities for AI, machine learning algorithms, and compilers, architectures are evolving rapidly and branching… Read More
Managing and controlling thermal conditions in-chip is nothing new and embedded temperature monitoring has been going on for many years. What is changing however, is the granularity and accuracy of the sensing now available to SoC design teams. Thermal activity can be quite destructive and if not sufficiently monitored can … Read More
There has been a good deal of publicized chatter about impending cyber attacks at an unprecedented scale and how Artificial Intelligence (AI) could help stop them. Not surprisingly much of the discussion is led by AI vendors in the cybersecurity space. Although they have a vested interest in raising an alarm, they do have a … Read More
COVID-19 has demonstrated the importance of digital readiness, which allows business and people’s life to continue as usual during pandemics. Building the necessary infrastructure to support a digitized world and stay current in the latest technology will be essential for any business or country to remain competitive in a … Read More
We started working with Felx Logix more than eight years ago and let me tell you it has been an interesting journey. Geoff Tate was our second CEO Interview so this is a follow up to that. The first one garnered more than 15,000 views and I expect more this time given the continued success of Flex Logix pioneering the eFPGA market, absolutely.… Read More
During the COVID-19 pandemic I’m using Zoom and attending more webinars to keep updated on semiconductor industry trends, and one huge trend is the importance of AI applied to SoCs. Using more cores to handle ML and DL makes sense, but then how do you keep the chips within their power and reliability limits while at the same … 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
Artificial intelligence – more specifically, the machine learning (ML) subset of AI – has a number of privacy problems.
Not only does ML require vast amounts of data for the training process, but the derived system is also provided with access to even greater volumes of data as part of the inference processing while in operation. … Read More
