System Bits: Sept. 12


Neural network cautionary tale As machine learning and neural networks proliferate widely today, there is a need to exercise caution in how they are employed, according to Stanford University researchers Michal Kosinki and Yilun Wang. In a study conducted recently, they have shown that deep neural networks can be used to determine the sexual orientation of a person, and caution that this ma... » read more

The Week In Review: IoT


Deals Deere & Co. has agreed to acquire Blue River Technology of Sunnyvale, Calif., for $305 million. The transaction is expected to close this month. Blue River develops computer vision and machine learning technology for use in precision agriculture. Monsanto Growth Ventures, Data Collective Venture Capital, Innovation Endeavors, Khosla Ventures, and Pontifax AgTech were among the investors... » read more

A Chip For All Seasons


FPGAs are showing up in more designs and in more markets, and as they get included in more systems they are becoming much more complex. A decade ago, the key markets for [gettech id="31071" t_name="FPGAs"] were industrial, medical, automotive and aerospace. Those markets remain strong, but FPGAs also are playing a role in artificial intelligence, data centers, the [getkc id="76" kc_name="... » read more

Executive Insight: Lip-Bu Tan


Semiconductor Engineering sat down with Lip-Bu Tan, president and CEO of [getentity id="22032" e_name="Cadence"], to discuss disruptions and changes in the semiconductor industry, from machine learning and advance packaging to tools and business. What follows are excerpts of that conversation. SE: What do you see as the next big thing? Tan: Unlike mobility or cell phones, or PCs before th... » read more

Integrated Photonics


Semiconductor Engineering sat down to discuss the status of integrated photonics with Twan Korthorst, CEO for PhoeniX Software; Gilles Lamant, distinguished engineer for [getentity id="22032" e_name="Cadence"]; Bill De Vries, director of marketing for Lumerical Solutions; and Brett Attaway, director of EPDA solutions at AIM Photonics, SUNY Polytechnic Institute. What follows are excerpts of tha... » read more

Tools To Design CNNs


Convolutional neural networks are becoming a mainstay in machine learning and artificial intelligence, allowing a network of distributed sensors to collect data and send them to a central brain for processing. This is a relatively simple idea in comparison to today's technology, and the idea of the [getkc id="261" kc_name="convolutional neural network"] has been around for some time. But bui... » read more

Training As A Strategic Weapon


In my last post, I discussed the topic of applying machine learning to the design of machine learning chips. I pointed out that one can achieve significant improvements in schedule predictability, PPA compliance and an overall reduction in program risk if machine learning is applied to the right kind of knowledge base. This is very real, and we are seeing the benefits of this approach daily. Bu... » read more

Executive Insight: Aart de Geus


Aart de Geus, chairman and co-CEO of [getentity id="22035" e_name="Synopsys"], sat down with Semiconductor Engineering to discuss machine learning and big data, the race toward autonomous vehicles, systems vs. chips, software vs. hardware, and the future of EDA. What follows are excerpts of that conversation. SE: The whole tech world is buzzing over data and how it gets used in areas such as... » read more

New AI algorithm monitors sleep with radio waves (MIT & Mass General)


Source: MIT and Massachusetts General Hospital. Mingmin Zhao, Shichao Yue, Dina Katabi, Tommi Jaakkola, Matt Bianchi Monitoring sleep with AI To make it easier to diagnose and study sleep problems, researchers at MIT and Massachusetts General Hospital have devised a new way to monitor sleep stages without sensors attached to the body by using a device that employs an advanced artific... » read more

Neural Adaptive Video Streaming with Pensieve (MIT-CSAIL)


Source:  MIT-CSAIL Hongzi Mao, Ravi Netravali, Mohammad Alizadeh For technical paper link, click here  and MIT's news here Machine-learning system for smoother streaming To combat the frustration of video buffering or pixelation, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “Pensieve,” an artificial intelligence system that ... » read more

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