MIT: Stackable AI Chip With Lego-style Design


New technical paper titled "Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence" from researchers at MIT, along with Harvard University, Tsinghua University, Zhejiang University, and others. Partial Abstract: "Here we report stackable hetero-integrated chips that use optoelectronic device arrays for chip-to-chip communication and neuromorphic... » read more

Simulation Framework to Evaluate the Feasibility of Large-scale DNNs based on CIM Architecture & Analog NVM


Technical paper titled "Accuracy and Resiliency of Analog Compute-in-Memory Inference Engines" from researchers at UCLA. Abstract "Recently, analog compute-in-memory (CIM) architectures based on emerging analog non-volatile memory (NVM) technologies have been explored for deep neural networks (DNNs) to improve scalability, speed, and energy efficiency. Such architectures, however, leverage ... » read more

CORDIC-based Chip Design With Iterative Pipelining Architecture for Biped Robots


New technical paper titled "Efficient and Accurate CORDIC Pipelined Architecture Chip Design Based on Binomial Approximation for Biped Robot," from researchers at Chung Yuan Christian University (Taiwan) and Ateneo de Manila University (Philippines). Abstract: "Recently, much research has focused on the design of biped robots with stable and smooth walking ability, identical to human bein... » read more

CFU Playground: Significant Speedups & Design Space Exploration Between CPU & Accelerator


Technical paper titled "CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs," from Google, Purdue University and Harvard University. Abstract "We present CFU Playground, a full-stack open-source framework that enables rapid and iterative design of machine learning (ML) accelerators for embedded ML systems. Our toolchain tightly integr... » read more

Neuromorphic HW Fabric That Supports A Recently Proposed Class of Stochastic Neural Network


New research paper titled "Neural sampling machine with stochastic synapse allows brain-like learning and inference" from University of Notre Dame and Department of Cognitive Sciences, University of California Irvine. Abstract "Many real-world mission-critical applications require continual online learning from noisy data and real-time decision making with a defined confidence level. Brain-... » read more

Performing Edge Detection With Oscillatory Neural Networks as a Hetero-associative Memory


New research paper titled "Oscillatory Neural Network as Hetero-Associative Memory for Image Edge Detection" from LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier. Abstract "The increasing amount of data to be processed on edge devices, such as cameras, has motivated Artificial Intelligence (AI) integration at the edge. Typical image processing me... » read more

A Methodology for Automatic eFPGA redaction


New academic paper titled "ALICE: An Automatic Design Flow for eFPGA Redaction" from researchers at Politecnico di Milano, New York University, University of Calgary, and the University of Utah. Abstract "Fabricating an integrated circuit is becoming unaffordable for many semiconductor design houses. Outsourcing the fabrication to a third-party foundry requires methods to protect the intell... » read more

Silicon Verified ASIC Implementation for Saber


New research paper from Purdue University, KU Leuven, and Intel Labs titled "A 334uW 0.158mm2 Saber Learning with Rounding based Post-Quantum Crypto Accelerator." Abstract: "National Institute of Standard & Technology (NIST) is currently running a multi-year-long standardization procedure to select quantum-safe or post-quantum cryptographic schemes to be used in the future. Saber is the... » read more

SOT-MRAM-based CIM architecture for a CNN model


New research paper "In-Memory Computing Architecture for a Convolutional Neural Network Based on Spin Orbit Torque MRAM", from National Taiwan University, Feng Chia University, Chung Yuan Christian University. Abstract "Recently, numerous studies have investigated computing in-memory (CIM) architectures for neural networks to overcome memory bottlenecks. Because of its low delay, high energ... » read more

Research Platform for Heterogeneous Computing (ETH Zurich)


New academic paper from ETH Zurich, "HEROv2: Full-Stack Open-Source Research Platform for Heterogeneous Computing." Abstract: "Heterogeneous computers integrate general-purpose host processors with domain-specific accelerators to combine versatility with efficiency and high performance. To realize the full potential of heterogeneous computers, however, many hardware and software design ... » read more

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