BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Learn how Pigment’s AI-driven platform transforms planning, forecasting, budgeting, and decision-making with cutting-edge ...

TORONTO, June 26, 2025 (GLOBE NEWSWIRE) -- kama.ai, Canada’s leader in Responsible Conversational AI, is pleased to announce that Cohere, the leading data security-focused enterprise AI company, is ...

In the contemporary literature on deterministic machine scheduling, problems are formulated from three different, but equivalent, perspectives. Algebraic models provide a rigorous problem statement in ...

The rapid evolution of Adaptive Education highlights the necessity of personalized learning paths that cater to the unique cognitive styles, preferences, and capabilities of each student. Traditional ...

This research paper investigates the efficiency of cryptographic algorithms within graph-based encryption models such as star graph, focusing on their computational performance and security robustness ...

Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Kubiya, which began life as a developer of generative AI assistants for DevOps teams, says Composer solves this through ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...