Author's Latest Posts


System Bits: May 29


Ultra-low-power sensors carrying genetically engineered bacteria to detect gastric bleeding In order to diagnose bleeding in the stomach or other gastrointestinal problems, MIT researchers have built an ingestible sensor equipped with genetically engineered bacteria. [caption id="attachment_24134598" align="alignleft" width="300"] MIT engineers have designed an ingestible sensor equipped with... » read more

Analog Migration Equals Redesign


Analog design has never been easy. Engineers can spend their entire careers focused just on phase-locked loops (PLLs), because to get them right the functionality of circuits need to be understood in depth, including how they respond across different process corners and different manufacturing processes. In the finFET era, those challenges have only intensified for analog circuits. Reuse, fo... » read more

System Bits: May 22


AI disruptions and benefits in the workplace According to Stanford University researchers, artificial intelligence offers both promise and peril as it revolutionizes the workplace, the economy and personal lives. Visiting scholar James Timbie of the Hoover Institution, who studies artificial intelligence and other technologies, said that in the workplace of tomorrow, many routine jobs now p... » read more

System Bits: May 15


Navigating with GPS and sensors According to MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers, navigating roads less traveled in self-driving cars is a difficult task mainly because self-driving cars are usually only tested in major cities where countless hours have been spent meticulously labeling the exact 3D positions of lanes, curbs, off-ramps, and stop signs... » read more

System-Level Power Modeling Takes Root


Power, heat, and their combined effects on aging and reliability, are becoming increasingly critical variables in the design of chips that will be used across a variety of new and existing markets. As more processing moves to edge, where sensors are generating a tsunami of data, there are a number of factors that need to be considered in designs. On one side, power budgets need to reflect th... » read more

System Bits: May 8


Unlocking the brain Stanford University researchers recently reminded that for years, the people developing artificial intelligence drew inspiration from what was known about the human brain, and now AI is starting to return the favor: while not explicitly designed to do so, certain AI systems seem to mimic our brains’ inner workings more closely than previously thought. [caption id="attach... » read more

Smart Farming Accelerates


Today I’m taking a brief, but related, detour from my usual automotive blog topics to discuss a bit of what’s happening related to autonomy but in the agricultural industry. This industry carries a market cap of $42.7 billion as a whole for the construction and agricultural machinery market, according to The New York Times, although still smaller than the semiconductor segment, with its ... » read more

Toward Autonomous Farming


While the automotive industry works diligently towards self-driving vehicles, it's possible the carrots you've eaten recently were semi-autonomously planted and harvested with Case IH equipment by Bolthouse Farms, one of the largest carrot growers in the United States. And the U.S. is hardly alone. Autonomous agriculture is coming everywhere, and it's happening much faster than autonomous ca... » read more

System Bits: May 1


Tiniest implanted wireless nerve stimulator UC Berkeley researchers, co-led by Rikky Muller, who is also assistant professor of electrical engineering and computer sciences at Berkeley, have built what they say is the smallest volume, most efficient wireless nerve stimulator to date. Before this milestone, UC Berkeley engineers demonstrated the first implanted, ultrasonic neural dust sensor... » read more

Partitioning Becomes More Difficult


The divide-and-conquer approach that has been the backbone of verification for decades is becoming more difficult at advanced nodes. There are more interactions from different blocks and features, more power domains, more physical effects to track, and far more complex design rules to follow. This helps explain why the number of tools required on each design—simulation, prototyping, em... » read more

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