In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...

AI is not yet the success that it should be, so two dozen enterprises will disclose their move toward a crucial new paradigm ...

Discover what sets human intelligence apart in this artificial intelligence comparison. Learn why human vs AI reveals ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Here's the case for constraint-aware intelligence in the AI 2.0 era.

The global electronics manufacturing industry is undergoing rapid transformation. The increasing complexity of devices, shrinking component sizes, and the rise ...

AI changed attacker economics. Recent Harvard research shows AI can fool over 50% of humans while cutting attack costs by 95% and increasing profitability up to 50-fold. Defender capabilities haven't ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.