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Machine Learning Based Prediction: Health Behavior on BP


Source: UC San Diego Jacobs School of Engineering, Po-Han Chiang and Sujit Dey, Mobile Systems Design Lab, Dept. of Electrical and Computer Engineering Using wearable off-the-shelf technology and machine learning, UC San Diego researchers have developed a method to predict an individual’s blood pressure and provide personalized recommendations to lower it based on this data. The resea... » read more

Adding AI To The IoT


The Internet of Things is about to undergo a radical change, fueled by vast number of things coupled with an almost pervasive presence of AI. The IoT today encompasses a long list of vertical markets, all of them connected to the Internet but not necessarily to each other. The concept of the IoT really began taking off in 2015, when a combination of data analytics, high-speed, affordable and... » read more

Week in Review: IoT, Security, Auto


Deals Dialog Semiconductor made a blockbuster deal with Apple – the chip company will license power management technologies and transfer some assets to Apple, which will use them in their internal chip research and development. More than 300 Dialog employees, mostly engineers, will join Apple, which will pay $300 million in cash for the transaction and prepay another $300 million for Dialog ... » read more

ML Becomes Useful For Variation Coverage


According to industry sources, it is quite a feat to get a chip back from the foundry that actually meets the specifications the design team worked towards, and because of this much effort is underway across the industry to understand what will happen to a design once it reaches the manufacturing stage, and what the effects of design choices actually are. AI and ML are absolutely the buzz wo... » read more

Reliability, Machine Learning And Advanced Packaging


Semiconductor Engineering sat down to discuss reliability, resilience, machine learning and advanced packaging with Rahul Goyal, vice president in the technology and manufacturing group at Intel; Rob Aitken, R&D fellow at Arm; John Lee, vice president and general manager of the semiconductor business unit at ANSYS; and Lluis Paris, director of IP portfolio marketing at TSMC. What follows ar... » read more

Using ASICs For AI Inferencing


Flex Logix’s Cheng Wang looks at why ASICs are the best way to improve performance and optimize power and area for inferencing, and how to add flexibility into those designs to deal with constantly changing algorithms and data sets. https://youtu.be/XMHr7sz9JWQ » read more

System Bits: Oct. 9


Sensing with light pulses In a development expected to be useful in applications including distance measurement, molecular fingerprinting and ultrafast sampling, EPFL researchers have found a way to implement an optical sensing system by using spatial multiplexing, a technique originally developed in optical-fiber communication, which produces three independent streams of ultrashort optical pu... » read more

Making Buildings Smarter


Calling a building “smart” implies that technology is embedded to make that building more efficient, useful, convenient and profitable. The goal is to program efficiency beyond what humans can provide. But “smart” also may imply a healthy dose of marketing hype. No one wants to live in a “dumb building,” but it's difficult to define what makes a building smart. And while much is ... » read more

Cloud Drives Changes In Network Chip Architectures


Cloud data centers have changed the networking topology and how data moves throughout a large data center, prompting significant changes in the architecture of the chips used to route that data and raising a whole new set of design challenges. Cloud computing has emerged as the fast growing segment of the data center market. In fact, it is expected to grow three-fold in the next few years, a... » read more

System Bits: Oct. 2


Computer algorithms exhibit prejudice based on datasets Researchers at Cardiff University and MIT have shown that groups of autonomous machines are capable of demonstrating prejudice by identifying, copying, and learning this behavior from one another. The team noted that while it may seem that prejudice is a human-specific phenomenon that requires human cognition to form an opinion of, or ... » read more

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