Quantum machine learning nears practicality as partial error correction reduces hardware demands

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from ...
EdSurge

Teaching Machines to Spot Human Errors in Math Assignments

Mathbots haven’t done much for K-12 math instruction. Can more sophisticated uses of AI succeed in turning around American ...

AI And ML In Cybersecurity: Building Smarter Defenses For A Threat-Driven Future

Despite advanced algorithms and automation, one truth remains: Effective cybersecurity requires a careful balance between ...

New model frames human reinforcement learning in the context of memory and habits

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
Tech Xplore on MSN

New system efficiently explains AI judgments in real-time

A research team led by Professor Jaesik Choi of KAIST's Kim Jaechul Graduate School of AI, in collaboration with KakaoBank ...
Tech Xplore on MSN

Squashing 'fantastic bugs' hidden in AI benchmarks

After reviewing thousands of benchmarks used in AI development, a Stanford team found that 5% could have serious flaws with ...
Frontiers

AI for Decoding the Brain: Advances in Neural Signal Interpretation and Cognitive State Modelling

Recent advances in artificial intelligence (AI) and machine learning (ML) have transformed our ability to decode complex ...