Chip Industry Week in Review


Global The U.S. created a licensing path for Nvidia H200 shipments in January and has since approved sales to 10 Chinese companies, but so far no shipments have been confirmed, reports Reuters. With a looming end-of-year expiration, SIA, SEMI, and other business groups are urging Congress to extend the US semiconductor tax credit and expand it to cover semiconductor design and other act... » read more

Chip Industry Technical Paper Roundup: Apr. 21


New technical papers recently added to Semiconductor Engineering’s library: Technical Paper Research Organizations Neural Computers 🔗 Meta AI, KAUST Characterizing tip-sample interaction dynamics on EUV nanostructures using AFM with a high-aspect ratio tip 🔗 Purdue University, Intel, Bruker  Photonic chip packaging for extreme environments ὑ... » read more

An Engineering Roadmap Toward Completely Neural Computers (Meta AI, KAUST)


A new technical paper, "Neural Computers," was published by researchers at Meta AI and KAUST. Abstract "We propose a new frontier: Neural Computers (NCs) -- an emerging machine form that unifies computation, memory, and I/O in a learned runtime state. Unlike conventional computers, which execute explicit programs, agents, which act over external execution environments, and world models, w... » read more

Chip Industry Technical Paper Roundup: Mar. 9


New technical papers recently added to Semiconductor Engineering’s library: Technical Paper Research Organizations FHECore: Rethinking GPU Microarchitecture for Fully Homomorphic Encryption 🔗 Boston University, Northeastern University, KAIST, University of Murcia Heterogeneous Memory Design Exploration for AI Accelerators with a Gain Cell Memory Compiler ... » read more

Optimizing In-Memory AI Accelerators Across Multiple Workloads (KAUST, Compumacy)


Researchers from KAUST and Compumacy for Artificial Intelligence Solutions have released “Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators”. Abstract “Software-hardware co-design is essential for optimizing in-memory computing (IMC) hardware accelerators for neural networks. However, most existing optimization frameworks target a single workload, lea... » read more

Chip Industry Technical Paper Roundup: Feb. 16


New technical papers recently added to Semiconductor Engineering’s library: [table id=523 /] Find more semiconductor research papers here. » read more

Automotive Week In Review


Quick links: Automotive chips, Autonomous, EVs, Batteries, Policy, Research. Automotive chips  Mythic and Honda will jointly develop an automotive-grade AI SoC for Honda’s SDVs that leverages Mythic’s energy-efficient analog compute-in-memory technology. ST released a new MCU with AI acceleration for the automotive edge, integrating an embedded neural network accelerator. I... » read more

Neuromorphic HW That Detects Motion Changes 4X Faster (Beihang, BIT, KAUST, Cambridge et al.)


A new technical paper titled "Ultrafast visual perception beyond human capabilities enabled by motion analysis using synaptic transistors" was published by researchers at Beihang University, Beijing Institute of Technology, KAUST, University of Cambridge and others. Excerpt from Abstract "We introduce a neuromorphic temporal-attention hardware that emulates the interaction between the ret... » read more

Chip Industry Technical Paper Roundup: Feb. 9


New technical papers recently added to Semiconductor Engineering’s library: [table id=521 /] Find more semiconductor research papers here. » read more

A Manufacturing Approach That Brings Diamond Quantum Photonics Closer To Industrial Production (MIT, KAUST et al.)


"Foundry-Enabled Patterning of Diamond Quantum Microchiplets for Scalable Quantum Photonics" was published by researchers at MIT, KAUST, PhotonFoundries and MITRE. Abstract "Quantum technologies promise secure communication networks and powerful new forms of information processing, but building these systems at scale remains a major challenge. Diamond is an especially attractive material fo... » read more

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