tag: Caltech

Chip Industry Week In Review
By The SE Staff - 26 Jul, 2024 - Comments: 0

The U.S. Department of Commerce and Amkor Technology signed a deal to provide up to $400 million in funding, under the CHIPS and Science Act, to build a previously announced end-to-end advanced packaging plant. The combined funding is expected to total about $2 billion. The new facility will add some 2,000 jobs in Peoria, Arizona. The SK hynix Board approved its Yongin Semiconductor Cluster... » read more

Chip Industry Technical Paper Roundup: June 18
By Linda Christensen - 18 Jun, 2024 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=234 /] More ReadingTechnical Paper Library home » read more

KAN: Kolmogorov Arnold Networks: An Alternative To MLPs (MIT, CalTech, et al.)
By Technical Paper Link - 13 Jun, 2024 - Comments: 0

A new technical paper titled "KAN: Kolmogorov-Arnold Networks" was published by researchers at MIT, CalTech, Northeastern University and The NSF Institute for Artificial Intelligence and Fundamental Interactions. Abstract: "Inspired by the Kolmogorov-Arnold representation theorem, we propose Kolmogorov-Arnold Networks (KANs) as promising alternatives to Multi-Layer Perceptrons (MLPs). While... » read more

Chip Industry Week In Review
By The SE Staff - 17 May, 2024 - Comments: 0

President Biden will raise the tariff rate on Chinese semiconductors from 25% to 50% by 2025, among other measures to protect U.S. businesses from China’s trade practices. Also, as part of President Biden’s AI Executive Order, the Administration released steps to protect workers from AI risks, including human oversight of systems and transparency about what systems are being used. Intel ... » read more

Running More Efficient AI/ML Code With Neuromorphic Engines
By Karen Heyman - 16 May, 2024 - Comments: 0

Neuromorphic engineering is finally getting closer to market reality, propelled by the AI/ML-driven need for low-power, high-performance solutions. Whether current initiatives result in true neuromorphic devices, or whether devices will be inspired by neuromorphic concepts, remains to be seen. But academic and industry researchers continue to experiment in the hopes of achieving significant ... » read more

Chip Industry Week In Review
By The SE Staff - 26 Apr, 2024 - Comments: 0

President Biden announced four new Workforce Hubs to support the CHIPS Act and other initiatives, in Upstate New York, Michigan, Milwaukee, and Philadelphia. The White House also provided economic context and progress updates for the President’s workforce strategy. Samsung began mass production of its ninth-gen industry-first V-NAND chip. Along with one-terabit triple-level cell design, th... » read more

Chip Industry Technical Paper Roundup: Jan. 23
By Liz Allan - 23 Jan, 2024 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=189 /] More ReadingTechnical Paper Library home » read more

An Engineering Algorithm For Chemical Accuracy With Shallow Quantum Circuits
By Technical Paper Link - 15 Jan, 2024 - Comments: 0

A technical paper titled “Towards chemical accuracy with shallow quantum circuits: A Clifford-based Hamiltonian engineering approach” was published by researchers at California Institute of Technology (Caltech), Microsoft Research AI4Science Lab, and Tencent Quantum Lab. Abstract: "Achieving chemical accuracy with shallow quantum circuits is a significant challenge in quantum computationa... » read more

Chip Industry Week In Review
By The SE Staff - 15 Dec, 2023 - Comments: 0

By Jesse Allen, Gregory Haley, and Liz Allan Synopsys acquired Imperas, pushing further into the RISC-V world with Imperas' virtual platform technology for verifying and emulating processors. Synopsys has been building up its RISC-V portfolio, starting with ARC-V processor IP and a full suite of tools introduced last month. The first high-NA EUV R&D center in the U.S. will be built at... » read more

Chip Industry Week In Review
By The SE Staff - 08 Dec, 2023 - Comments: 0

By Jesse Allen, Karen Heyman, and Liz Allan AMD took the covers off new AI accelerators for training and inferencing of large language model and high-performance computing workloads. In its announcement, AMD focused heavily on performance leadership in the commercial AI processor space through a combination of architectural changes, better software efficiency, along with some improvements in... » read more

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