Special Report
Security Holes In Machine Learning And AI
A primary goal of machine learning is to use machines to train other machines. But what happens if there’s malware or other flaws in the training data?
Top Stories
FPGAs Drive Deeper Into Cars
Automotive OEMs are leveraging programmability for algorithms, evolving safety standards, and market differentiating features.
Regulations Trail Autonomous Vehicles
Chipmakers will continue to benefit, but it will be a long road until autonomous vehicles dominate the roads.
Videos
7nm Design Challenges
Tech Talk: Why the next nodes will be so expensive, and how that will play out in chip design.
Embedded FPGA Design Considerations
Tech Talk: What to keep in mind when adding eFPGAs into SoCs.
Blogs
Editor In Chief Ed Sperling observes that concerns about breaches is up, but the number of attacks is still rising, in Security Gap Grows.
Executive Editor Ann Steffora Mutschler contends that automotive OEMs need to be able to adapt to new regulations and specifications as they evolve, in Flexibility A Key For Future Cars.
Mentor’s Andrew Macleod questions how the industry should respond as the public conversation around autonomous vehicles shifts to safety, in Self-Driving Hits The Safety Reset Button.
Synopsys’ Robert Vamosi finds more questions than answers when it comes to progress in autonomous vehicles, in Still Waiting For Autonomous Vehicles.
Marvell’s Sree Durbha examines the impact of improved WiFi communication on cost and reliability, in HD Video Comes To Entry-Level Drones.
Sponsor White Papers
Autonomy, Electrification And The Rise Of Model-Based EE Design
Turning input models into deterministic outputs.
How to Integrate SAST Into DevSecOps With Coverity
An approach to speeding time to market while identifying security weaknesses.
