Why Data Is So Difficult To Protect In AI Chips


Experts at the Table: Semiconductor Engineering sat down to discuss a wide range of hardware security issues and possible solutions with Norman Chang, chief technologist for the Semiconductor Business Unit at ANSYS; Helena Handschuh, fellow at Rambus, and Mike Borza, principal security technologist at Synopsys. What follows are excerpts of that conversation. The first part of this discussion ca... » read more

VC Perspectives On An AI Summer


It’s been a busy summer for Applied Ventures. Our team has had many interactions in the startup and investing space, and added some new companies to our portfolio. I’ll be sharing highlights of these activities in a series of upcoming blogs, but first I’d like to reflect on current market developments in machine learning and how they are affecting VC investment patterns. Strategic inve... » read more

Deep Learning Models With MATLAB And Cortex-A


Today, I’ve teamed up with Ram Cherukuri of MathWorks to provide an overview of the MathWorks toolchain for machine learning (ML) and the deployment of embedded ML inference on Arm Cortex-A using the Arm Compute Library. MathWorks enables engineers to get started quickly and makes machine learning possible without having to become an expert. If you’re an algorithm engineer interested ... » read more

Training Tomorrow’s Chip Designers


With technology advancing rapidly and the growing number of open R&D projects, there is an expanding need for qualified engineers. To make this possible, practical education needs to start much earlier than after graduation. One the best ways the EDA and semiconductor industry has embraced is encouraging engineering students to cooperate with experienced engineers, technologists and indu... » read more

Improving Edge Inferencing


Cheng Wang, senior vice president of engineering at Flex Logix, talks with Semiconductor Engineering about how to improve the efficiency and speed of edge inferencing chips, what causes bottlenecks, and why AI chips are different from other types of semiconductors. » read more

Power/Performance Bits: April 16


Faster CNN training Researchers at North Carolina State University developed a technique that reduces training time for deep learning networks by more than 60% without sacrificing accuracy. Convolutional neural networks (CNN) divide images into blocks, which are then run through a series of computational filters. In training, this needs to be repeated for the thousands to millions of images... » read more

Fundamentals Of Semiconductor ISO 26262 Certification: People, Process And Product


Written by an ISO 26262 working group member who contributed to the new ISO 26262:2018 Part 11, this paper dispels myths about ISO 26262 certification and seeks to enhance the reader’s knowledge regarding all aspects of the ISO 26262 standard. Provides information on employee training and certification courses, functional safety consulting services, and accredited certification by exida, T... » read more

The Automation Of AI


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

The Other Side Of Makimoto’s Wave


Custom hardware is undergoing a huge resurgence across a variety of new applications, pushing the semiconductor industry to the other side of Makimoto's Wave. Tsugio Makimoto, the technologist who identified the chip industry’s 10-year cyclical swings between standardization and customization, predicted there always will be room in ASICs for general-purpose processors. But it's becoming mo... » read more

Pushing AI Into The Mainstream


Artificial intelligence is emerging as the driving force behind many advancements in technology, even though the industry has merely scratched the surface of what may be possible. But how deeply AI penetrates different market segments and technologies, and how quickly it pushes into the mainstream, depend on a variety of issues that still must be resolved. In addition to a plethora of techni... » read more

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