unite10d
Neural Processing Units (NPUs): The Driving Force Behind Next-Generation AI and Computing
Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...
Hosted on MSN5mon
Flexible multi-task computation in recurrent neural networks relies on dynamical motifs, study shows
The researchers ran a series of analyses, which revealed that in convolutional neural networks, so-called dynamical motifs are implemented by clusters of units when the unit activation function is ...
Computational chemistry method can wring more information out of electronic structure calculations
Back in the old days—the really old days—the task of designing materials was laborious. Investigators, over the course of ...
Tech Xplore on MSN15d
New training technique opens the door to neural networks that require much less energy
AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high-performance ...
GitHub7mon
flavio-martinelli/expand-and-cluster
Expand-and-Cluster: Parameter Recovery of Neural Networks. Flavio Martinelli, Berfin Şimşek, Wulfram Gerstner and Johanni Brea. ICML 2024. Created by Flavio Martinelli working in the Laboratory of ...
IEEE3y
Dongjie Zhu
Cluster Nodes,Convolutional Neural Network,Deep Learning,Deep Learning Models,Neural Network,Active Faults,Additional Overhead,Aggregation Problem,Atrous Spatial Pyramid Pooling,Attention ...
C&EN14d
Directed Electrostatics Strategy Integrated as a Graph Neural Network Approach for Accelerated Cluster Structure Prediction
Advanced Artificial Intelligence Theoretical and Computational Chemistry Laboratory, School of Chemistry, University of Hyderabad, Hyderabad, Telangana 500046, India ...
University of Sheffield4y
Cognitive and neural processes across the lifespan
The cluster focuses on understanding the mechanisms via which ... we aim to understand the physiological consequences of neural activity associated with both typical development and with neurological ...
Yahoo Finance18d
Nvidia Hopper-based 100kW cluster deploys with 144 H200 GPUs
The cluster will be used to train ExaAI's neural networks. The cluster is based on 192 96-core processors (for 3,456 cores) and is equipped with 36TB of DDR5 memory and 270TB of NVMe solid-state ...
GitHub1y
SNN-simulator-NEST_14.0-xilinx_FPGA_cluster
Paper:A.Podobas,S.Matsuoka,Luk Wayne.Designing and accelerating spiking neural networks using OpenCL for FPGAs[C].//International Conference on Field Programmable Technology (ICFPT).Melbourne,VIC, ...