Continuing his passion for research, Veljanovski will begin a PhD in computer science at the University of Michigan this fall ...

Los Alamos National Laboratory has led the world in trying to understand one of the most frustrating barriers that faces ...

A team at Stanford has shown that using fewer, higher-quality data points can speed up complex simulations. The method could ...

Abstract: Solving optimization problems in multiagent systems involves information exchange between agents. The obtained solutions should be robust to information delays and errors that arise from an ...

As quantum computing develops, scientists are working to identify tasks for which quantum computers have a clear advantage ...

A new study reveals how humans use flexible problem-solving strategies like hierarchical and counterfactual reasoning when ...

The researchers examined what they call "large reasoning models" (LRMs), which attempt to simulate a logical reasoning ...

Beyond the reported performance improvements, OpenAI announced a substantial price reduction for developers. O3-pro costs $20 ...

Achieving cost-competitiveness for green hydrogen produced via water electrolysis using intermittent renewable energy sources ...

Many students find calculus intimidating—not because of the numbers, but due to its abstract nature. However, struggle is ...

MIT researchers found a way to drastically improve the efficiency of carbon capture, a promising climate solution.

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R ...