AI Techniques To Solve HW-SW Challenges For Useful Quantum Computing (Nvidia, U. of Oxford et al.)


A new technical paper "Artificial intelligence for quantum computing" was published by researchers at NVIDIA, University of Oxford, University of Toronto, Quantum Motion, University of Waterloo et al. Abstract "Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extend... » read more

Chip Industry Week in Review


Major Deals: Taiwan-based UMC is exploring possible collaboration with Polar Semiconductor for high-volume production of 8-inch wafers at Polar’s expanded Minnesota fab, a move that could provide domestic manufacturing capacity for automotive, data center, consumer, aerospace, and defense customers. Marvell will acquire Celestial AI for $3.25B, adding photonic fabric technology for o... » 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

Chip Industry Week In Review


Breaking news: Nvidia and Synopsys announced a multi-faceted, multi-year deal that includes everything from digital twins to CUDA programming, engineering, and marketing collaboration, and Nvidia's $2B purchase of Synopsys stock. [Updated 12/1] Memory news: Micron is building a $9.6B HBM facility in the city of Higashi-Hiroshima Japan, reports Nikkei. China's ChangXin Memory Technol... » read more

Chip Industry Week In Review


China's Hefei Lumiverse Technology reportedly has developed a desktop-sized High Harmonic Generation light source that generates wavelengths as small as 1nm. One customer already has used it to produce 14nm chips, which was the original target node for EUV, according to one report. As a point of comparison, TSMC and Samsung didn't start using EUV until the 7nm node, relying instead on immersion... » read more

China GenAI: Who Will Fill The Vacuum?


China and the U.S.A are locked in a titanic battle over tariffs. The U.S. makes the world’s best AI Accelerators: Nvidia, AMD, Google, AWS …among others. But the U.S. worries China could deploy these for military purposes, so it imposed strict export controls that resulted in China getting the second-best AI accelerators. These export controls have been further tightened as part of tarif... » read more

Chip Industry Technical Paper Roundup: Nov. 10


New technical papers recently added to Semiconductor Engineering’s library: [table id=490 /] Find more semiconductor research papers here. » read more

Chip Industry Week in Review


SK hynix is ramping HBM manufacturing capacity to meet explosive demand for AI data centers. The company will launch 16-stack HBM4 next year, and up to 12-stack HBM4E. HBM5 and HBM5E will be introduced between 2029 and 2031, reports Business Korea. China will not have access to NVIDIA’s most advanced chips, President Trump told 60 Minutes. The Dutch economy minister said Nexperia's chip... » 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

Co-Optimizing GPU Architecture And SW To Enhance Edge Inference Performance (NVIDIA)


A new technical paper titled "EdgeReasoning: Characterizing Reasoning LLM Deployment on Edge GPUs" was published by researchers at NVIDIA. Abstract "Edge intelligence paradigm is increasingly demanded by the emerging autonomous systems, such as robotics. Beyond ensuring privacy-preserving operation and resilience in connectivity-limited environments, edge deployment offers significant energ... » read more

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