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Beyond the Von Neumann Bottleneck: IBM Research’s Analog Renaissance Promises 1,000x Efficiency for the LLM Era FinancialContent
ECE Seminar Series – June 17 (Tue) @ 10:30am "Computing at the Limits in the Era of Artificial Intelligence," Naresh Shanbhag, Prof., ECE, UIUC | Electrical and Computer Engineering | UC Santa Barbara UC Santa Barbara | Electrical and Computer Engineering
Chinese team develops faster, more efficient data sorting for AI, computing South China Morning Post
AI Chip Strikes Down the von Neumann Bottleneck With In-Memory Neural Net Processing - News All About Circuits
Eliminating computer errors by combining computation and memory Advanced Science News
Boosting the ‘brains’ of computers with less wasted energy Purdue University
New Memristor Device Challenges the Von Neumann Bottleneck With Ionic Innovation SciTechDaily
Breaking the von Neumann bottleneck using phase-change materials IBM Research
A New Way Of Computing – Breakthroughs In Photonic And Quantum Operations Forbes
John von Neumann: From the Manhattan Project to the Princeton Architecture All About Circuits
Memristor-based Neural Network Accelerators for Space Applications European Space Agency
A learnable parallel processing architecture towards unity of memory and computing Nature
How neuromorphic computing takes inspiration from our brains IBM Research
New Research Suggests Processing-in-Memory Could Revolutionize Analog Computing All About Circuits
A new chip architecture points to faster, more energy-efficient AI IBM Research
In-Memory Computing May Solve the AI Memory Balancing Act of Volume, Speed, and Processing All About Circuits
Synapses as a model: solid-state memory in neuromorphic circuits EurekAlert!
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