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Attenuated Phase Shift Masks (attPSM) For EUV (Fraunhofer IISB)
By Technical Paper Link - 08 Jul, 2022 - Comments: 0

New research paper titled "Attenuated phase shift masks: a wild card resolution enhancement for extreme ultraviolet lithography?," from researchers at Fraunhofer-Institut für Integrierte Systeme und Bauelementetechnologie IISB (Germany). Aim: "We review published research on attenuated phase shift masks (attPSM) for EUV with special emphasis on modeling and fundamental understanding of the ... » read more

ISA Extension For Low-Precision NN Training On RISC-V Cores
By Technical Paper Link - 08 Jul, 2022 - Comments: 0

New technical paper titled "MiniFloat-NN and ExSdotp: An ISA Extension and a Modular Open Hardware Unit for Low-Precision Training on RISC-V cores" from researchers at IIS, ETH Zurich; DEI, University of Bologna; and Axelera AI. Abstract "Low-precision formats have recently driven major breakthroughs in neural network (NN) training and inference by reducing the memory footprint of the N... » read more

Delay-based PUF for Chiplets to Verify System Integrity
By Technical Paper Link - 08 Jul, 2022 - Comments: 0

New technical paper titled "Know Time to Die – Integrity Checking for Zero Trust Chiplet-based Systems Using Between-Die Delay PUFs" by researchers at University of Massachusetts, Amherst MA, Abstract (partial): "In this paper we propose a delay-based PUF for chiplets to verify system integrity. Our technique allows a single chiplet to initiate a protocol with its neighbors to measure un... » read more

3 Emerging Technologies: Memristors, Spintronics & 2D Materials
By Technical Paper Link - 06 Jul, 2022 - Comments: 0

New technical paper titled "Memristive, Spintronic, and 2D-Materials-Based Devices to Improve and Complement Computing Hardware" from researchers at University College London and University of Cambridge. Abstract "In a data-driven economy, virtually all industries benefit from advances in information technology—powerful computing systems are critically important for rapid technological pr... » read more

Neuromorphic Computing: Challenges, Opportunities Including Materials, Algorithms, Devices & Ethics
By Technical Paper Link - 06 Jul, 2022 - Comments: 0

This new research paper titled "2022 roadmap on neuromorphic computing and engineering" is from numerous researchers at Technical University of Denmark, Instituto de Microelectrónica de Sevilla, CSIC, University of Seville, and many others. Partial Abstract: "The aim of this roadmap is to present a snapshot of the present state of neuromorphic technology and provide an opinion on the chall... » read more

Brain-Inspired Computing Device That Programs/RePrograms HW On Demand With Electrical Pulses
By Technical Paper Link - 06 Jul, 2022 - Comments: 0

Multiple academic and government institutions jointly developed a new computer device that can "program and program computer hardware on demand through electrical pulses," according to this Argonne National Lab news release. The device's key materials are neodymium, nickel and oxygen and is referred to as a perovskite nickelate. This new research paper titled "Reconfigurable perovskite nicke... » read more

Sibyl, a lightweight, reinforcement learning-based data placement technique for hybrid storage systems (ETH Zurich)
By Technical Paper Link - 06 Jul, 2022 - Comments: 0

New research paper titled "Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning" from researchers at ETH Zurich, Eindhoven University of Technology, and LIRMM, Univ. Montpellier, CNRS. Abstract "Hybrid storage systems (HSS) use multiple different storage devices to provide high and scalable storage capacity at high performance. Recent r... » read more

MEMprop: Gradient-based Learning To Train Fully Memristive SNNs
By Technical Paper Link - 04 Jul, 2022 - Comments: 0

New technical paper titled "Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays" from IEEE researchers. Abstract "We present MEMprop, the adoption of gradient-based learning to train fully memristive spiking neural networks (MSNNs). Our approach harnesses intrinsic device dynamics to trigger naturally arising voltage spikes. These spikes emitted by memristive dynamics are anal... » read more

UC Berkeley: New Semiconductor Laser Delivering Power with Scalability
By Technical Paper Link - 04 Jul, 2022 - Comments: 0

U.C. Berkeley scientists demonstrated a Berkeley Surface Emitting Lasers (BerkSELs), a long-sought breakthrough in scaling laser size with power. “Increasing both size and power of a single-mode laser has been a challenge in optics since the first laser was built in 1960,” said research team leader Boubacar Kanté, Chenming Hu Associate Professor at Berkeley. “Six decades later, we show ... » read more

TU Dresden: Tile-based Multi-Core Architecture for Heterogeneous RISC-V Processors Suitable for FPGA Platforms
By Technical Paper Link - 04 Jul, 2022 - Comments: 0

New technical paper titled "AGILER: An Adaptive Heterogeneous Tile-Based Many-Core Architecture for RISC-V Processors" from researchers at Technische Universitaet Dresden (TU Dresden). Partial Abstract: "In this work, AGILER is proposed as an adaptive tile-base many-core architecture for heterogeneous RISC-V based processors. The proposed architecture consists of modular and adaptable heter... » read more

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