Security Threats Converge On IoT, Industrial ICs, Physical AI


Devices in a broad range of edge AI applications are increasingly at risk of hacking or tampering, with the stakes varying greatly depending on how much the device can impact and interact with human life. Design methods and protection techniques must now be included up front in the design cycle for optimal protection of consumers and companies as the quantum threat looms. In today’s factor... » read more

Blog Review: Jan. 7


Cadence's Reela Samuel presents an overview of through-silicon vias, including structure, pitch, and electrical behavior, key layout rules such as keep-out zones and stress constraints, and how TSV parasitics influence bandwidth, latency, and system-level performance. Siemens' Andras Vass-Varnai identifies five thermal trends to watch and how they’ll reshape design and packaging workflows ... » 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

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

Even With AI Inroads, Human Chip Designers Still Essential


The proliferation of AI tools seems perfectly matched to fill a talent shortage, but a closer look shows the skills do not entirely overlap. Certain parts of the EDA pipeline require human engineers, and it seems likely to stay that way for the foreseeable future. The dark art of analog design, the final word on safety-critical functional safety, high-level architectural decisions, product i... » read more

Complex Mix Of Processors At The Edge


With AI changing so fast, it’s a juggle for companies to ensure they can deliver the best performance now while also future-proofing for unknown AI models or a completely different approach to training and inference that may emerge. There are a slew of options for high-end and budget phones, hyperscalers, and low-cost, low-power edge devices, and while GPUs keep making headlines, many designe... » read more

AI Drives More Realistic Gaming


Video games are utilizing artificial intelligence to create increasingly realistic scenarios and interactions, enabled by big increases in processing horsepower and memory, and significantly faster data movement. GPUs, once confined to graphics rendering, are now also being deployed across a wide range of AI tasks, generating more realistic non-player characters, dynamic worlds, personalized... » read more

AI Pushes High-End Mobile From SoCs To Multi-Die


Advanced packaging is becoming a key differentiator for the high end of the mobile phone market, enabling higher performance, more flexibility, and faster time to market than systems on chip. Monolithic SoCs likely will remain the technology of choice for low-end and midrange mobile devices because of their form factor, proven record, and lower cost. But multi-die assemblies provide more fle... » read more

Mobile Chip Challenges In The AI Era


Leading smart phone vendors are struggling to keep pace with the rising compute and power demands of localized generative AI, standard phone functions, and the need to move more data back and forth between handsets and the cloud. In addition to edge functions, such as facial recognition and other on-device apps, phones must accommodate a continuous stream of new communications protocols, and... » read more

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