Chip Industry Week In Review


Deals IBM and Arm are collaborating on a new dual‑architecture hardware aimed at enterprise AI and data-intensive workloads, using virtualization to boost reliability, security, scalability, and software compatibility. The goal, according to an IBM spokesperson, is to deliver side-by-side deployments of S390x-Linux and Arm-Linux virtual machines in a single kernel-based hypervisor. Nv... » read more

Chip Industry Week In Review


Big Deals and Fundings Rapidus secured US$1.7B in a new funding round from the Japanese government and the private sector to ramp 2nm production by next year. Open AI announced a $110B in new funding, with $30B from Nvidia, $30B from Softbank and $50B from Amazon. In a $100B multi-year deal, Meta will power its AI infrastructure with up to 6GW of AMD's GPUs. SambaNova and Intel ar... » read more

ReRAM-based Neo-Hebbian Synapses For Training Neuromorphic HW (IIT Madras, UCSB)


A new technical paper, "NeoHebbian synapses to accelerate online training of neuromorphic hardware," was published by researchers at IIT Madras and UC Santa Barbara. Abstract "Neuromorphic systems that employ advanced synaptic learning rules, such as the three-factor learning rule, require synaptic devices of increased complexity. Herein, a novel neoHebbian artificial synapse utilizing ReRA... » read more

Chip Industry Technical Paper Roundup: Jan. 20


New technical papers recently added to Semiconductor Engineering’s library: [table id=515 /] Find more semiconductor research papers here. » read more

Ultralow-Loss PIC Platform From Violet to Near-Infrared, CMOS-Foundry Compatible (Caltech, UCSB et al.)


A new technical paper titled "Towards fibre-like loss for photonic integration from violet to near-infrared" was published by researchers at Caltech, UCSB, Leiden University and University of Southampton. Abstract excerpt: "Here we present an ultralow-loss PIC platform based on germano-silicate—the material underlying the extraordinary performance of optical fibre—but realized by a fu... » 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

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


Semiconductor industry energy consumption grew 125% between 2015 and 2023, while direct greenhouse gas emissions rose 23% in the same period, according to the Europe think tank Interface, which analyzed corporate social responsibility reports from 28 global chip manufacturers. CSIS' new report "Understanding U.S. Allies’ Current Legal Authority to Implement AI and Semiconductor Export Cont... » read more

Chip Industry Technical Paper Roundup: Sept. 24


New technical papers recently added to Semiconductor Engineering’s library: [table id=358 /] More ReadingTechnical Paper Library home » read more

Mixed Signal In-Memory Computing With Massively Parallel Gradient Calculations of High-Degree Polynomials


A new technical paper titled "Computing high-degree polynomial gradients in memory" was published by researchers at UCSB, HP Labs, Forschungszentrum Juelich GmbH, and RWTH Aachen University. Abstract "Specialized function gradient computing hardware could greatly improve the performance of state-of-the-art optimization algorithms. Prior work on such hardware, performed in the context of Isi... » read more

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