Science

Researchers have developed a decentralized platform that moves beyond one-on-one interactions to simulate more natural conversations between multiple humans and AI agents.

A new analysis of machine learning projects reveals how developers are – and aren’t – prioritizing energy efficiency in their systems.

A new perspective on evaluating AI collaboration focuses on how well humans understand and appropriately rely on AI assistance, rather than simply measuring the AI’s performance.

New research reveals that artificial intelligence agents can piece together fragmented data to re-identify individuals, even when that data is supposedly anonymized.

A new AI assistant streamlines live commerce by handling viewer questions and crafting compelling product descriptions on the fly.

A novel approach combines dimensionality reduction with explainable AI to provide consistent and interpretable insights from complex spectroscopic datasets.

A new study reveals the critical tradeoffs in processing robotic manipulation tasks, examining the impact of onboard computing, edge servers, and cloud connectivity.

Researchers have developed a novel system that uses artificial intelligence to streamline the entire process of educational data mining, from data preparation to predictive modeling.

A new study probes whether large language models possess the capacity for ‘theory of mind’ – the ability to attribute beliefs and intentions to others.

A new graph neural network architecture incorporates the principles of physics into robot learning, resulting in more efficient, robust, and computationally performant control.