AI Workloads at the Edge: Ensuring Performance, Privacy, and Security


Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss why 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 a... » read more

Environmental Sensors Catch More Data For A Greener World


Sensors to detect temperature, pressure, and gases, such as CO2, have been around for centuries. However, the latest devices can measure a growing list of substances and process the data in real-time. Likewise, single-use sensors to measure pH levels in water are well established, but the latest water sensors can be deployed all along the pipeline from source to processing to outlet or tap, sav... » read more

Small Language Models Create New Security Risks


The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into increasingly complex hardware, and the behavior and interactions of both over time. AI data centers still garner the most attention due to massive investments and an ongoing flood of deals and acquisitions, but the edge is quietly starting to take shape for several reaso... » read more

Physical AI Takes Functional Safety Cues From Automotive


Robots are becoming smarter, more capable, and more pervasive, setting the stage for a whole new round of growth that will touch nearly every part of the semiconductor and software industries for decades to come. Robots are at the core of physical AI, a broad segment of edge AI systems that interact with the world through artificial intelligence and sensors. This includes everything from hum... » read more

Harnessing Silicon Lifecycle Management For Chip Security


Silicon lifecycle management is starting to be used in ways that extend well beyond its original mission of ensuring a chip functions to spec throughout its expected lifetime. While tracking aging effects and component failures are still important, the technology also is being deployed to proactively monitor, authenticate, and respond to potential threats in real-time. In fact, not applying ... » read more

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

Edge AI Is Starting To Transform Industrial IoT


A slew of wireless and increasingly multi-modal sensors is being targeted at the Industrial Internet of Things (IIoT), setting the stage for significant improvements in efficiency, higher yield, and reduced downtime. Wired IIoT devices, such as smart energy meters and breakers, industrial network gateways, and environmental sensors already are well established in factory settings. They have ... » 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

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