LLM tagged posts

Korean researchers have developed a hierarchical AI technology that autonomously plans even complex, long-horizon tasks. The development of this hierarchical task-planning AI technology, which reduces hallucinations and doubles the success rate, is expected to help robots and agents carry out long-term missions.

The Electronics and Telecommunications Research Institute (ETRI) developed the hierarchical task-planning artificial intelligence (AI) technology “ReAcTree,” which autonomously divides tasks requiring complex and lengthy procedures into subgoals and carries them out, and presented it at AAMAS 2026, one of the world’s premier conferences in the AI agent field.

This research achievem...

Will artificial intelligence ever be able to reason, learn, and solve problems at levels comparable to humans? Experts at the University of California San Diego believe the answer is yes—and that such artificial general intelligence has already arrived. This debate is tackled by four faculty members spanning humanities, social sciences, and data science in a recently published Comment invited by Nature.

Computer scientist Alan Turing first posed this question in his landmark 1950 paper, though he didn’t use the term artificial general intelligence (AGI). His “imitation game,” now known as the Turing Test, asked whether a machine could pass as human in text-based conversation with humans. Seventy-five years later, that future is here.

Over the p...

Additive manufacturing has revolutionized manufacturing by enabling customized, cost-effective products with minimal waste. However, with the majority of 3D printers operating on open-loop systems, they are notoriously prone to failure...

AI might know where you’re going before you do. Researchers at Northeastern University used large language models, the kind of advanced artificial intelligence normally designed to process and generate language, to predict human movement.

How RHYTHM predicts human movement
RHYTHM, their innovative tool, “can revolutionize the forecasting of human movements,” forecasting “where you’re going to be in the next 30 minutes or the next 25 hours,” said Ryan Wang, an associate professor and vice chair of research in civil and environmental engineering at Northeastern.

The hope is that RHYTHM will improve domains like transportation and traffic planning to make our lives easier, but in extreme cases, RHYTHM could even be deployed to respond to natural dis...