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

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

How Fast Can Germany Shift To Software-Defined Vehicles?


It's being called "China speed," defined by the accelerated rate at which software-defined vehicles can be designed, manufactured, and updated with new features. And nowhere is this hitting harder and forcing more profound changes than in Germany, Europe's leading automotive market. Rather than relying solely on customized electronic control units, SDVs use a combination of specialized and g... » read more

Chip Industry Week in Review


San Francisco-based Substrate raised more than $100 million to build a vertically integrated foundry that uses particle accelerators to produce "the world's brightest beams, enabling a new method of advanced X-ray lithography." The company claims its technology is comparable to ASML's high NA EUV, and notes it can extend well beyond 2nm. ASML has not publicly commented. The Nexperia chip sho... » read more

Critical Factors For Storing Data In DRAM


DRAM is becoming more complicated to develop, and more difficult to manage inside AI data centers. In the past, latency, bandwidth, and capacity were the primary considerations. But as the amount of data that needs to be processed, moved, and stored continues to rise, a whole new set of factors is emerging. Steven Woo, fellow and distinguished inventor at Rambus, talks about latency under load,... » read more

Data Centers Boost Voltage For Higher Efficiency


The power architecture used in HPC and AI data centers today is about to undergo a significant change in an effort to boost power efficiency. While voltages at the chip level will remain the same, the voltages leading to those chips will be kept higher for longer distances. This change has broad implications for DC-DC converters. The existing architecture brings AC to each rack, converts it ... » read more

GDDR7 Tackles Massive-Context AI Inference


The AI hardware landscape is evolving at breakneck speed, and memory technology is at the heart of this transformation. NVIDIA’s recent announcement of Rubin CPX, a new class of GPU purpose-built for massive-context inference, underscores this trend. Rubin CPX is designed to tackle workloads that require reasoning across millions of tokens. Use cases include long-form generative video, comple... » read more

Startup Tips To Get From Seed Funding To Series A, B, C


Startups are often created by experienced engineers who figure out how to solve a technical problem they are dealing with at work, or by PhD candidates in research labs before they have even started their first full-time job. Either way, getting seed money to the tune of a few million dollars is relatively easy compared to securing further rounds of funding and achieving the company’s exit go... » 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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