Beyond Human Intuition: AI’s Rise in Systems Performance

New research demonstrates that artificial intelligence is capable of automating the discovery of system algorithms, challenging traditional approaches to performance optimization.

New research demonstrates that artificial intelligence is capable of automating the discovery of system algorithms, challenging traditional approaches to performance optimization.
The environmental impact of large language models isn’t just about powerful servers-it’s deeply intertwined with how we design conversations with them.
A new study reveals that while AI practitioners recognize the importance of fairness, translating that awareness into consistent practice remains a significant hurdle.
A new analysis of user reviews reveals growing acceptance of AI-powered educational apps, but also highlights crucial ethical considerations and the need for balanced human-AI collaboration.

A new approach decomposes articulated objects into parts, enabling robust 3D reconstruction even from sparse image data.

A new approach separates problem-solving from language generation, dramatically reducing the tendency of AI systems to invent false information.

New research highlights the critical role of human editors in ensuring the authenticity and cultural relevance of images created with generative AI for news coverage.
As self-driving cars become increasingly prevalent, legal frameworks are struggling to determine liability when accidents occur.

Researchers have developed a new method to create realistic robotic manipulation videos directly from trajectory data, enhancing both visual fidelity and task learning.
New research argues that outputs from generative artificial intelligence lack the human authorship required for copyright protection, effectively placing them in the public domain.