Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these ...

A cozy, neutral sameness defines our era of interior design. Velvet sofas. Bouclé armchairs. All-white living rooms. Beds layered with fluffy faux-fur blankets. Calming sage green kitchen cabinets.

A recently filed lawsuit claims the ratings assigned by A.I. screening software are similar to those of a credit agency and should be subject to the same laws. By Stacy Cowley For millions of ...

Abstract: Graph neural networks (GNNs) with unsupervised learning can provide high-quality approximate solutions to large-scale combinatorial optimization problems (COPs) with efficient time ...