category: AI/ML/DL

category: IoT, Security & Automotive

Gemmini: Open-source, Full-Stack DNN Accelerator Generator (DAC Best Paper)
By Technical Paper Link - 19 Aug, 2022 - Comments: 0

This technical paper titled "Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration" was published jointly by researchers at UC Berkeley and a co-author from MIT.  The research was partially funded by DARPA and won DAC 2021 Best Paper. The paper presents Gemmini, "an open-source, full-stack DNN accelerator generator for DNN workloads, enabling end-to-e... » read more

Implementing Cryptographic Algorithms for the RISC-V Instruction Set Architecture in Two Cases
By Technical Paper Link - 18 Aug, 2022 - Comments: 0

This new technical paper titled "Symmetric Cryptography on RISC-V: Performance Evaluation of Standardized Algorithms" was published by researchers at Intel, North Arizona University and Google, with partial funding from U.S. Air Force Research Laboratory. Abstract "The ever-increasing need for securing computing systems using cryptographic algorithms is spurring interest in the efficient i... » read more

Efficient Neuromorphic AI Chip: “NeuroRRAM”
By Technical Paper Link - 17 Aug, 2022 - Comments: 0

New technical paper titled "A compute-in-memory chip based on resistive random-access memory" was published by a team of international researchers at Stanford, UCSD, University of Pittsburgh, University of Notre Dame and Tsinghua University. The paper's abstract states "by co-optimizing across all hierarchies of the design from algorithms and architecture to circuits and devices, we present ... » read more

Techniques For Improving Energy Efficiency of Training/Inference for NLP Applications, Including Power Capping & Energy-Aware Scheduling
By Technical Paper Link - 17 Aug, 2022 - Comments: 0

This new technical paper titled "Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models" is from researchers at MIT and Northeastern University. Abstract: "The energy requirements of current natural language processing models continue to grow at a rapid, unsustainable pace. Recent works highlighting this problem conclude there is an urgent need ... » read more

Biocompatible Bilayer Graphene-Based Artificial Synaptic Transistors (BLAST) Capable of Mimicking Synaptic Behavior
By Technical Paper Link - 10 Aug, 2022 - Comments: 0

This new technical paper titled "Metaplastic and energy-efficient biocompatible graphene artificial synaptic transistors for enhanced accuracy neuromorphic computing" was published by researchers at The University of Texas at Austin and Sandia National Laboratories. Abstract "CMOS-based computing systems that employ the von Neumann architecture are relatively limited when it comes to para... » read more

Assessing & Simulating Semiconductor Side-Channel or Unintended Data Leakage Vulnerabilities
By Technical Paper Link - 09 Aug, 2022 - Comments: 0

This research paper titled "Multiphysics Simulation of EM Side-Channels from Silicon Backside with ML-based Auto-POI Identification" from researchers at Ansys, National Taiwan University and Kobe University won the best paper award at IEEE's International Symposium on Hardware Oriented Security and Trust (HOST). The paper presents a new tool "to assess unintended data leakage vulnerabilities... » read more

Reservoir Computing HW Based on a CMOS-Compatible FeFET
By Technical Paper Link - 07 Aug, 2022 - Comments: 0

A new technical paper titled "Reservoir computing on a silicon platform with a ferroelectric field-effect transistor" was published by researchers at the University of Tokyo. Researchers report "reservoir computing hardware based on a ferroelectric field-effect transistor (FeFET) consisting of silicon and ferroelectric hafnium zirconium oxide. The rich dynamics originating from the ferroelec... » read more

Analog Deep Learning Processor (MIT)
By Technical Paper Link - 29 Jul, 2022 - Comments: 0

A team of researchers at MIT are working on hardware for artificial intelligence that offers faster computing with less power. The analog deep learning technique involves sending protons through solids at extremely fast speeds.  “The working mechanism of the device is electrochemical insertion of the smallest ion, the proton, into an insulating oxide to modulate its electronic conductivity... » read more

Identifying PCB Defects with a Deep Learning Single-Step Detection Model
By Technical Paper Link - 22 Jul, 2022 - Comments: 0

This new technical paper titled "End-to-end deep learning framework for printed circuit board manufacturing defect classification" is from researchers at École de technologie supérieure (ÉTS) in Montreal, Quebec. Abstract "We report a complete deep-learning framework using a single-step object detection model in order to quickly and accurately detect and classify the types of manufacturi... » read more

Edge-AI Hardware for Extended Reality
By Technical Paper Link - 20 Jul, 2022 - Comments: 0

New technical paper titled "Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications" from researchers at Indian Institute of Technology Delhi and Reality Labs Research, Meta. Abstract "Low-Power Edge-AI capabilities are essential for on-device extended reality (XR) applications to support the vision of Metaverse. In this work, we investigate two representative XR w... » read more

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