Special Report
New Ways To Optimize Machine Learning
Different approaches for improving performance and lowering power in ML systems.
Top Stories
Tracking Automotive’s Rapidly Shifting Ecosystem
Relationships and design strategies are in flux as OEMs and Tier 1s grapple for dominance.
More Multiply-Accumulate Operations Everywhere
Flex Logix’s CEO points to the growing need for MAC functionality in a variety of new markets.
Blogs
Editor In Chief Ed Sperling zeroes in on the battle for control of the car taking shape behind the scenes, in Lane Departure Warnings For The Auto Industry.
Managing Editor Susan Rambo laments the lack of data in fighting pandemics, and how IoT and AI may help us prepare for the next one, in The IoT Of COVID-19.
Mentor’s Ping Yeung, Jin Hou, Vinayak Desai, and Jacob Wiltgen examine how an automated workflow using safety synthesis and formal verification can help address random faults with safety mechanisms, in Four Steps To ISO 26262 Safety Mechanism Insertion And Validation.
Maxim Integrated’s Christine Young explains how digital fingerprints help provide device security from the start, in PUF, The Magic IoT Defender.
Arteris IP’s Kurt Shuler demonstrates how to overcome memory limitations in automotive systems, in AI, Performance, Power, Safety Shine Spotlight On Last-Level Cache.
Flex Logix’s Geoff Tate shows how processing data immediately can make a big difference to inference implementation, in AI Inference: Pools Vs. Streams.
Cadence’s Tyler Lockman focuses on an improved flow for removing shape islands that makes further modifications easier, in Don’t Get Stranded On Islands, Delete Them.
Synopsys’ Ruud Derwig and Tortuga Logic’s Nicole Fern warn that a secure processor alone is not enough — a methodology is needed to enable system-level security objectives, in Security Verification For Processor-Based SoCs.
