Building AI SoCs


Ron Lowman, strategic marketing manager at Synopsys, looks at where AI is being used and how to develop chips when the algorithms are in a state of almost constant change. That includes what moves to the edge versus the data center, how algorithms are being compressed, and what techniques are being used to speed up these chips and reduce power. https://youtu.be/d32jtdFwpcE    ... » read more

Making AI Run Faster


The semiconductor industry has woken up to the fact that heterogeneous computing is the way forward and that inferencing will require more than a GPU or a CPU. The numbers being bandied about by the 30 or so companies working on this problem are 100X improvements in performance. But how to get there isn't so simple. It requires four major changes, as well as some other architectural shifts. ... » read more

DOM-Based Cross-Site Scripting


DOM-based attacks are a misunderstood, serious, and pervasive source of risk in contemporary web applications. The language that drives the web, JavaScript, is easy to understand and hard to master; junior and senior developers routinely make mistakes. Mix difficulty to master with an enormous attack surface, and you have the perfect storm for widespread vulnerability. These risks expose web ap... » read more

IoT Meets ML


AI and machine learning are the next big things, and they're going make a huge difference in the adoption and capabilities of the IoT. Unlike previous technology approaches, AI, machine learning and deep learning are based on patterns. In effect, they raise up the level of abstraction for data. An image of a cat can be megabytes of data, and a cat taken from all angles may be gigabytes of da... » read more

An Innovator’s Vision


I had the pleasure of talking with [getperson id="11764" comment="Lucio Lanza"], managing director of Lanza techVentures, when I was researching my article on design innovation earlier this month. One thing that sets successful business people apart is their ability to see patterns, to correctly identify how those patterns fit together and progress and, based on those, to know which way to evol... » read more

Building Chips That Can Learn


The idea that devices can learn optimal behavior rather than relying on more generalized hardware and software is driving a resurgence in artificial intelligence, machine leaning, and cognitive computing. But architecting, building and testing these kinds of systems will require broad changes that ultimately could impact the entire semiconductor ecosystem. Many of these changes are wel... » read more

Plugging Holes In Machine Learning


The number of companies using machine learning is accelerating, but so far there are no tools to validate, verify and debug these systems. That presents a problem for the chipmakers and systems companies that increasingly rely on machine learning to optimize their technology because, at least for now, it creates the potential for errors that are extremely difficult to trace and fix. At the s... » read more

Tech Talk: ADAS


Kurt Shuler, vice president of marketing at Arteris, explains what the Advanced Driver Assistance Systems standard is, where the problems are, and why this is becoming so important in automotive semiconductor design. » read more

Inside Neuromorphic Computing


Semiconductor Engineering sat down to talk about neuromorphic technology with Guy Paillet, chief executive of General Vision. The fabless IC design house is a pioneer and supplier of neuromorphic chips. What follows are excerpts of that conversation. SE: In 1993, you invented and co-patented a neural networking chip with IBM. Then, you joined General Vision in 1999. Briefly tell us about Gen... » read more