Communications of the ACM

The ‘Matrix’ for Machines

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...

Researchers baked 3x inference speedups directly into LLM weights — without speculative decoding

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
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Jailbreaking the matrix: How researchers are bypassing AI guardrails to make them safer

A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph.D., contains so many science fiction terms, you'd be forgiven for thinking ...
IEEE

Inverse Design Method for Horn Antennas Based on Knowledge-Embedded Physics-Informed Neural Networks

Abstract: This letter aims to overcome the challenges faced by physics-informed neural networks (PINNs) in metal structure design. Taking the design of horn antennas as an example, we propose ...
IEEE

A Non-Intrusive Load Monitoring Method Based on Relative Position Matrix and Residual Network

Abstract: Non-Intrusive Load Monitoring (NILM) technology identifies various appliances’ types and operational status by analyzing electrical data collected from sensors in residential or commercial ...