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Artificial Intelligence
Artificial Intelligence based systems are driving a metamorphosis in computing, and consequently precipitating a large shift in SOC design. AI training is often done in the cloud and has requirements for handling huge amounts of data with forward and backward data connections. Inference usually occurs at the edge and must be… Read More
Cadence has launched the new Tensilica Vision Q6 DSP IP, delivering 1.5x more performance than the former Vision P6 DSP IP and 1.25X better power efficiency. According with Cadence, the mobile industry is moving from traditional feature-based embedded vision to AI-based algorithm, even if all use cases still have mix of vision… Read More
If there was a central takeaway to Nvidia’s GTC event last week in San Jose it was this: autonomous vehicles are already operating or at least testing in virtual every corner of the planet including companies such as Tier IV and ZMP in Japan, and Pony.ai and Baidu in China. But two U.S. companies standout globally for the growing… Read More
Publishing eBooks on FPGA Prototyping and Emulation really was an eye opener for me as a long time EDA and IP professional. Both markets are considered EDA in the traditional sense but they are very much in the systems business with a lot of IP. Both markets are also growing very rapidly and operate side-by-side with complimentary… Read More
On Thursday April 5th the Design and Reuse SoC IP days continues in Santa Clara at the Hyatt Regency (my favorite hangout). SemiWiki is a co-sponsor and I am Chairman of the IP Security Track. More than 400 people have registered thus far and I expect a big turnout, if you look at the program you will see why. You should also know that registration… Read More
This morning at Nvidia’s AI and Deep Learning Conference, GTC 2018, CEO Jen-Hsun Huang will give a keynote in which he will tout the company’s extraordinary progress in fostering and advancing the cause of artificial intelligence and deep learning along with the correlated autonomous driving industry. Hundreds… Read More
Adding color to the talks, Dr. Jeff Welser, VP and IBM Almaden Research Lab Director showed how AI and recent computing resources could be harnessed to contain data explosion. Unstructured data growth by 2020 would be in the order of 50 Zetta-bytes (with 21 zeros). One example, the Summit supercomputer developed by IBM for use at… Read More
Just like good ideas percolate longer, we have seen AI adoption pace picking-up speed, propelled by faster GPUs. Some recent data points provide good indication that FPGA making a comeback to bridge chip-design needs to keep-up with AI’s ML applications.
According to the Deloitte research firm there is a projected increase of… Read More
To borrow a punch line from Duke professor Dan Ariely, artificial intelligence is like teenage sex: “Everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it.” Even though AI systems can now learn a game and beat champions within hours, they are hard … Read More
Machine learning (ML), and neural nets (NNs) as a subset of ML, are blossoming in all sorts of applications, not just in the cloud but now even more at the edge. We can now find them in our phones, in our cars, even in IoT applications. We have all seen applications for intelligent vision (e.g. pedestrian detection) and voice recognition… Read More
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Facing the Quantum Nature of EUV Lithography