How techniques like model pruning, quantization and knowledge distillation can optimize LLMs for faster, cheaper predictions.

ECE Assoc. Prof. Zheng Zhang among four potentially high-impact projects seeking to solve critical energy-efficiency challenges have been awarded more than $240,000 in cumulative funding related to ...

New ISACA courses in machine learning will prepare practitioners to better understand the lifecycle of machine learning ...

RIT Assistant Professor Alexander Ororbia published a paper on smarter and greener artificial intelligence in Science ...

Generative AI is currently dominated with large language models. The advent of small language models has huge promise. Here's ...

This important study partially fills the gap in the knowledge of olfaction at the level of the Anterior Olfactory Nucleus (AON) and Piriform Cortex with functional magnetic resonance imaging, ...

Governments, too, should allow open-source AI to thrive, imposing safety regulations uniformly and eschewing restrictions and ...

Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all.

Quantum machine learning methods, including QSVM and QCNN, show promise in manufacturing by enhancing anomaly detection and ...

Accurately modeling particle movement through fluids is crucial in fields ranging from chemical engineering to aerospace. The ...