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A technical paper titled “Analog Foundation Models” was published by IBM Research– Zurich, ETH Zurich, IBM Research-Almaden, and IBM TJ Watson Research Center.

Abstract:

“Analog in-memory computing (AIMC) is a promising compute paradigm to improve speed and power efficiency of neural network inference beyond the limits of conventional von Neuman...

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The chiplet model has been proven by the early adopters. Large companies that successfully developed chips at leading nodes have integrated multiple chiplets into systems, where the entire silicon cycle is performed in-house. But the industry’s long-term goal of a free and open chiplet marketplace, in which companies of any size can reap the rewards and economies of scale ass...

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A new technical paper titled “Modeling and Optimizing Performance Bottlenecks for Neuromorphic Accelerators” was published by researchers at Harvard University, Politecnico di Torino, Intel, LMU Munich, Accenture Labs, BootLoop AI, TU Delft and Wordly.

Abstract “Neuromorphic accelerators offer promising platforms for machine learning (ML) inference by ...

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Memory news:

  • China’s ChangXin Memory Technologies (CXMT) showcased its DDR5 and LPDDR5X at the recent IC China conference. The company claims its DDR5 has die density up to 24 Gb and a peak speed of 8 Gbps, and a top speed of 10.7 Gbps for its LPDDR5X series.
  • Global ...
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    Hydrogel NAND gate

    Researchers from McMaster University and the University of Pittsburgh created a functionally complete NAND gate in a soft material using only beams of visible light.

    The NAND logic operation was completed by shining three self-trapped light beams into a photoresponsive merocyanine-f...

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