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New techniques efficiently accelerate sparse tensors for massive AI models

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 AI. The work, from MIT and NIVIDIA, aims to accelerate sparse tensors for AI models by introducing more efficient and flexible ways to take advantage of sparsity. ....

Joel Emer , Taylor Swift , Zi Yu Xue , Yannan Nellie Wu , Vivienne Sze , International Symposium On Microarchitecture , Artificial Intelligence Laboratory , Mit Ai Hardware Program , Department Of Electrical Engineering , Research Laboratory Of Electronics , Electrical Engineering , Computer Science , Research Laboratory , Yannan Nellie Wu Phd , Zi Yu Xue , Vivienne Sze , Joel Emer , Deep Neural Network Accelerator , Ensor Algebra , Taylor Swift , Ailors And Swiftiles ,

Innovative Techniques Boost Sparse Tensors for Large AI Models

Innovative Techniques Boost Sparse Tensors for Large AI Models
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Yannan Nellie Wu , Vivienne Sze , Zi Yu Xue , Joel Emer , Taylor Swift , Department Of Electrical Engineering , Mit Ai Hardware Program , Research Laboratory Of Electronics , Artificial Intelligence Laboratory , International Symposium On Microarchitecture , Electrical Engineering , Computer Science , Research Laboratory , Yannan Nellie Wu Phd ,

Learning on the edge

A new technique enables on-device training of machine-learning models on edge devices like microcontrollers, which have very limited memory. This could allow edge devices to continually learn from new data, eliminating data privacy issues, while enabling user customization. ....

South Korea , Wei Ming Chen , Wei Chen Wang , Nilesh Jain , Ligeng Zhu , Jilei Hou , Ji Lin , National Science Foundation , Department Of Electrical Engineering , Mit Ai Hardware Program , Watson Ai Lab , Ford Motor Company , Song Han , Electrical Engineering , Computer Science , Chuang Gan , Neural Information Processing , Innovation Fellowship , Iny Ml , Dge Device Machine Learning ,

Clip The Register MIT, Amazon, TSMC, ASML and others work on sustainable AI (March 30) | MIT News

Clip The Register MIT, Amazon, TSMC, ASML and others work on sustainable AI (March 30) | MIT News
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Katyanna Quach , Mit Ai Hardware Program , Professor Jes ,

MIT, Amazon, TSMC, ASML and others work on sustainable AI

MIT, Amazon, TSMC, ASML and others work on sustainable AI
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