The reading achievement gap affects us all through heavy special education spending and societal problems. AI can have a ...

Sylvano Alvarez earned a full scholarship to law school after career in Bay Area tech, now serves Northern Virginia's ...

Google DeepMind’s AlphaProof system scored at a silver-medal level when tested against the 2024 International Mathematical ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

Ranked #3 overall, Evan Kirstel earned perfect scores in 5G, HealthTech, and IoT in Thinkers360’s Top 100 B2B Thought ...

Cartpole is often used in reinforcement learning research: it's easy to simulate and fast to run, but unlike pattern recognition tasks, it requires constant, fine-grained adjustments rather than a ...

Imagine balancing a ruler vertically in the palm of your hand: you have to constantly pay attention to the angle of the ruler ...

It’s a breakthrough in the field of random walks.

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

Lance Fortnow on the current status and future outlook of solving the P-NP problem.