Author's Latest Posts


Transistor Aging Intensifies At 10/7nm And Below


Transistor aging and reliability are becoming much more troublesome for design teams at 10nm and below. Concepts like ‘infant mortality’ and 'bathtub curves' are not new to semiconductor design, but they largely dropped out of sight as methodologies and EDA tools improved. To get past infant mortality, a burn-in process would be done, particularly for memories. And for reliability, which... » read more

System Bits: July 11


An algorithm to diagnose heart arrhythmias with cardiologist-level accuracy To speed diagnosis and improve treatment for people in rural locations, Stanford University researchers have developed a deep learning algorithm can diagnose 14 types of heart rhythm defects better than cardiologists. The algorithm can sift through hours of heart rhythm data generated by some wearable monitors to f... » read more

Propelling Autonomous Vehicles Safely And Securely


Last month, when asked about how important it was that Apple not miss out on the opportunities within automotive, Apple CEO Tim Cook told Bloomberg, “There is a major disruption looming there not only for self-driving cars but also the electrification piece. If you’ve driven an all-electric car, it’s actually a marvelous experience, and it’s a marvelous experience not to stop at the... » read more

Rethinking Car Design


The automotive industry is undergoing sweeping changes in both technology and business, and functional safety increasingly cuts across both of them. Every safety-critical industry has one or more functional safety standards, whether that is manufacturing, avionics or automotive. In automotive, it's a combination of [gettech id="31076" comment="ISO 26262"] and various ASIL levels, which are a... » read more

The Darker Side Of Machine Learning


Machine learning can be used for many purposes, but not all of them are good—or intentional. While much of the work underway is focused on the development of machine learning algorithms, how to train these systems and how to make them run faster and do more, there is a darker side to this technology. Some of that involves groups looking at what else machine learning can be used for. So... » read more

System Bits: July 3


VW emissions tests cheat code found A team of researchers from UC San Diego, Ruhr University along with an independent researcher has uncovered the mechanism that Volkswagen used to circumvent U.S. and European emission tests over a period of at least six years before the EPA put the company on notice in 2015 for violating the Clean Air Act. The researchers found the code that allowed onboa... » read more

System Bits: June 27


Entangling photons for bug-proof communication With the increasing processing power of computers, conventional encryption of data is becoming increasingly insecure, reminded Fraunhofer researchers that are proposing one solution is coding with entangled photons. The team is developing a quantum coding source that allows the transport of entangled photons from satellites, expected to be an impo... » read more

System Bits: June 20


The case against general-purpose processors With a large number of emerging applications such as implantables, wearables, printed electronics, and IoT have ultra-low area and power constraints, and these applications relying on ultra-low-power general purpose microcontrollers and microprocessors, there are drawbacks, researchers at the University of Illinois and the University of Minnesota rem... » read more

Modeling On-Chip Variation At 10/7nm


Simulation, a workhorse tool for semiconductor design, is running out of steam at 10/7nm. It is falling behind on chips with huge gate counts and an enormous number of possible interactions between all the different functions that are being crammed onto a die. At simulation's root is some form of SPICE, which has served as its underpinnings ever since SPICE was first published 44 years ago. ... » read more

System Bits: June 13


Nimble-fingered robots enabled by deep learning Grabbing awkwardly shaped items that humans regularly pick up daily is not so easy for robots, as they don’t know where to apply grip. To overcome this, UC Berkeley researchers have a built a robot that can pick up and move unfamiliar, real-world objects with a 99% success rate. Berkeley professor Ken Goldberg, postdoctoral researcher Jeff M... » read more

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