There could be a new era of codesign dawning for machine learning, one that moves away from the training and inference separations and toward far less dense networks with highly sparse weights and ...
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Better hardware could turn zeros into AI heroes
When it comes to AI models, size matters. Even though some artificial-intelligence experts warn that scaling up large language models (LLMs) is hitting diminishing performance returns, companies are ...
New computational techniques, 'HighLight' and 'Tailors and Swiftiles,' could dramatically boost the speed and performance of high-performance computing applications like graph analytics or generative ...
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 ...
What is Femtosense’s SPU-001 AI accelerator. How sparsity and small-footprint accelerators reduce space and power requirements. Not every microcontroller can handle artificial-intelligence and machine ...
As ZDNET's Radhika Rajkumar details, R1's success highlights a sea change in AI that could empower smaller labs and researchers to create competitive models and diversify available options. Its ...
A technical paper titled “A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators” was published by researchers at Argonne National Laboratory, State University of New York ...
The Blackwell accelerator architecture is said to be up to twice as fast as AMD's MI300X and consolidate Nvidia's supremacy in AI chips for the coming years. Nvidia's in-house exhibition GTC 2024 in ...
Researchers from MIT and NVIDIA have developed two techniques that accelerate the processing of sparse tensors, a type of data structure that’s used for high-performance computing tasks. The ...
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