Optimizing AI Workloads For Edge Computing


Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss how some AI workloads are better suited for on-device processing to achieve consistent performance, avoid network connectivity issues, reduce cloud computing costs, and ensure privacy. The panel included Frank Ferro, group director in the Silicon Solutions Group at Cadence; Eduardo Montanez, vice president an... » read more

The Real-World Impact Of Silicon Lifecycle Management On Chip Architectures


Silicon lifecycle management (SLM) is transforming chip architectures, empowering designers to build smarter, more resilient, and secure semiconductor devices by leveraging data from manufacturing to end of life in the field. That data can be used to improve future designs, reduce margin, and continuously optimize performance and power efficiency throughout a chip's lifetime. Moreover, under... » read more

Confidential Computing To Secure AI Workloads


Artificial Intelligence (AI), data analytics, and high-performance computing (HPC) are transforming industries such as healthcare, finance, and manufacturing. These workloads rely on distributed systems managing massive datasets with high reliability. As computational demand grows, so does the need for end-to-end data protection. Traditional security addresses Data at Rest (DAR) and Data in ... » read more

LLMs Add Safety Risks To Physical AI


Humanoid robots with artificial general intelligence are some years from entering our daily life, but application-specific robotics are already here. From Amazon’s fleet of fulfillment center robots to robotic surgical systems in operating rooms, search and rescue robo-dogs, autonomous drones, and last-mile delivery robots, all the way down to the humble Roomba vacuum cleaner, physical AI sys... » read more

AIxCC 2025: What It Means For Device Security


The DARPA-sponsored Artificial Intelligence Cyber Challenge (AIxCC) culminated at DEF CON 33 this year, marking a moment where autonomous AI systems demonstrated they can both find and patch vulnerabilities at machine speed. Over two years, teams developed Cyber Reasoning Systems (CRS) designed to scan, prove, and fix bugs in open-source programs without human aid. In the final round, seven t... » read more

Moving AI Workloads To The Edge


Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss how some AI workloads are better suited for on-device processing to achieve consistent performance, avoid network connectivity issues, reduce cloud computing costs, and ensure privacy. The panel included Frank Ferro, group director in the Silicon Solutions Group at Cadence; Eduardo Montanez, vice president an... » read more

New Standardized Semiconductor Cybersecurity Assessment (SSCA) Strengthens Security And Collaboration Across Global Supply Chain


The SEMI Semiconductor Manufacturing Cybersecurity Consortium (SMCC) Work Group 3 (Supply Chain Cybersecurity) just released a major work product that will have a significant and lasting positive impact on the industry: the “Standardized Semiconductor Cyber Assessment (SSCA)” questionnaire. Creating a common security assessment process for device makers, equipment suppliers, software s... » read more

Statistical Model Checking As An Evaluation Tool of Microarchitectural Side Channels (Duke, Harvard, Univ. of Florida)


A new technical paper titled "Rigorous Evaluation of Microarchitectural Side-Channels with Statistical Model Checking" was published by researchers at Duke University, Harvard University and University of Florida. Abstract "Rigorous quantitative evaluation of microarchitectural side channels is challenging for two reasons. First, the processors, attacks, and defenses often exhibit probabili... » read more

Rethinking Security In Semiconductor Testing: Why Containment Is The New Imperative


It’s nearly impossible to keep up with the headlines without stumbling upon another major cybersecurity incident. According to recent reports, 2024 witnessed a staggering 5.5 billion breaches globally. In the United States alone, the average cost of a single data breach clocked in at $9.36 million—slightly lower than 2023’s figure, but still a significant hit for any organization. On a gl... » read more

Why Anti-Tamper Sensors Matter: Delivering A Comprehensive Security Solution


If your device processes valuable data, controls a critical function, or connects to a wider network, it’s a target. Attackers don’t just try to break software; they increasingly physically tamper with hardware: probing, fault injecting, or opening enclosures to bypass protections and extract secrets. The consequences range from IP theft and fraud to orchestrated downtime across fleets ... » read more

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