Open-source ‘Apertus’ LLM could appeal to enterprises struggling to meet the privacy and copyright demands of AI regulation.

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

ith potential to make powerful AI systems more affordable and accessible, UC Santa Barbara computer scientist Arpit Gupta has earned two major research awards from Google to support his development of ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds ...

Researchers utilize mixed-integer linear programming and nonlinear programming formulations for neural networks, (26−30) tree ensembles, (31−34) and decision trees. (9,35,36) Additionally, several ...

Enter Small Language Models (SLMs) – a new generation of models that promises to address these challenges while unlocking more business value from AI. The power of small SLMs are a type of Small ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions.

Selector AI’s network-specific language model is a fine-tuned version of LLama optimized to understand networking concerns.