This book explains the application of recent advances in computational intelligence – algorithms, design methodologies, and synthesis techniques – to the design of integrated circuits and systems. It highlights new biasing and sizing approaches and optimization techniques and their application to the design of high-performance digital, VLSI, radio-frequency, and mixed-signal circuits and systems. This second of two related volumes addresses digital and network designs and applications, with 12 chapters grouped into parts on digital circuit design, network optimization, and applications. It will be of interest to practitioners and researchers in computer science and electronics engineering engaged with the design of electronic circuits.
This market is absolutely teeming with chip startups, many of whom are reaching a level of maturity where they are revealing their architectures and starting to produce measurable results. As established semiconductor companies start to appreciate the importance of the AI accelerators, and the range of vertical markets AI will encroach on, will some of them look to jump-start their strategies with acquisitions? With dozens of startups at the stage where first products are being marketed and results are being unveiled, the opposite effect also applies. I spoke with Geoff Tate, CEO of Flex Logix, recently and he quoted Warren Buffett: "When the tide goes out, you can see who's been swimming naked." Not all the startups we see in the market today will be successful.
John Kibarian, president and CEO of PDF Solutions, sat down with Semiconductor Engineering to talk about the impact of data analytics on everything from yield and reliability to the inner structure of organizations, how the cloud and edge will work together, and where the big threats are in the future. SE: When did you recognize that data would be so critical to hardware design and manufacturing? Kibarian: It goes back to 2014, when we realized that consolidation in foundries was part of a bigger shift toward fabless companies. Every fabless company was going to become a systems company, and many systems companies were rapidly becoming fabless. We had been using our analytics to help customers with advanced nodes, and one of them told me that they were never going to build another factory again. Our analytics had been used for materials review board and better control of our supply chain and packaging before that.
In this 1-hour session, we will introduce Artificial Intelligence for Edge computing and show you how ST's offer can help you run Neural Networks on microcontrollers and microprocessors. Thanks to concrete application examples, you will know more about running Artificial Neural Networks and you will learn how to use the STM32Cube.AI tool to convert Neural Networks into optimized code for STM32 MCUs. Use the power of Deep Learning and hop on board: discover how ST's AI solutions, ecosystem and network of expert partners can support AI application development and help you reduce time-to-market. There will be a live Q&A session at the end of the webinar where ST's experienced engineers will be available to answer your questions. This webinar will be broadcast twice, at convenient times for international audiences.
Raik Brinkmann, president and CEO of OneSpin Solutions, sat down with Semiconductor Engineering to talk about AI changes and challenges, new opportunities for using existing technology to improve AI, and vice versa. What follows are excerpts of that conversation. Brinkmann: There are a couple of big changes underway. One involves AI in functional safety, where you use context to prove the system is doing something good and that it's not going to fail. Basically, it's making sure that the data you use for training represents the scenarios you need to worry about.
At CES 2020, Samsung's STAR Labs research group unveiled Neon, a simulated human assistant, an animated "chatbot" that appears on a screen and learns about people in order to provide intelligent and life-like responses. These "artificial humans" will be able to give responses to questions in milliseconds. Companies and people will be able to license or subscribe to Neons, with the goal of enhancing customer service interactions. Said Samsung, "Over time, Neons will work as TV anchors, spokespeople, or movie actors; or they can simply be companions and friends." Samsung indicated that Neon will be beta launched with selected partners later this year.
Racial bias in [READ MORE…] Recommended For You Revolutionizing IoT Through AI: Why They're Perfect Together Artificial Intelligence seen as key technology game-changer but implementation challenges remain, finds Frost & Sullivan No "significant" loss of jobs from Artificial Intelligence in China HRM Asia Guest Opinion: Here's how to regulate artificial intelligence properly Brainerd Dispatch Callaway Mavrik metalwoods use artificial intelligence to push face and head designs to optimize specific player needs – Golf Digest CES 2020: virtual reality, artificial intelligence and a small glimpse of the future China – The First Artificial Intelligence Superpower Mobile Artificial Intelligence Market From 2020-2029: Growth Analysis by Manufacturers Apple NVIDIA Corporation, Huawei Technologies Co Ltd, Samsung Electronics Co Ltd CategoriesArtificial Intelligence TagsAI, Artificial Intelligence, Deep Learning, Machine Intelligence, Machine Learning, Mixed Learning, Smart Devices Guest Opinion: Here's how to regulate artificial intelligence properly Brainerd Dispatch
Raytheon Co. announced on Monday it has begun work on a machine-learning technology allowing machines to teach machines through artificial intelligence use. The $6 million contract is one of four, valued at a total of $20.9 million, between the U.S. Defense Research Projects Agency and Raytheon BBN Technologies, SRI International, BBN Technologies, Teledyne Scientific & Imaging and BAE Systems. The new deal calls for development of systems able to communicate information and the conditions of the initial learning, and recommended strategies and situations calling for those strategies. Known as CAML, or Categorical Abstract Machine Language, it uses a process similar to that in a video game; instead of rules, the system offers a list of choices and identification of a goal. By repeatedly playing the game, the system will learn the best way to achieve the goal.
Sonos has finally made a portable wifi and Bluetooth speaker that sounds great – but it's not quite what most will have imagined. For years Sonos has made some of the very best wifi speakers, recently adding optional voice assistants from Google and Amazon. But they have never been truly wireless, needing to be plugged in and on your home wifi network. The Move changes that, essentially taking the excellent Sonos One and adding a battery to the bottom. But it comes at a hefty £399 price tag, although some retailers already have it at £329.
I just dragged my sorry sack of cells around the Consumer Electronics Show 2020 for two days; it was hard work. Here are some notes of the things I saw during my visit. It's not intended to be a comprehensive review (nor an unbiased one), I'll leave that up to the professional journalists. This posting is just about what I happened to stroll into and piqued my interest. For the last few years I've done a write up on the show. Here are links to some of the previous years' reviews: What is better than a 4k TV? I think every major manufacturer had an 8k TV on display.