Obsessing over model version matters less than workflow.

Professor Junmo Kim and Ph.D. candidate Minchan Kwon, School of Electrical Engineering >No matter how much data they learn, why do Artificial ...

Artificial intelligence has just cracked a problem that has frustrated condensed matter theorists for decades, turning a long-standing maze in frustrated magnet physics into a solved benchmark. By ...

AI will not eliminate India’s development challenges, but it can significantly expand the country’s problem-solving capacity, if we learn, plan and execute with discipline ...

Earlier this year, FIG published the book titled LADM in the Classroom. In the style of that book, this article gives an ...

Ultrashort bursts of laser light are giving scientists a way to freeze one of chemistry’s most elusive moments, the instant ...

Identifying Patterns for More Effective Client Relationships. Open Journal of Business and Management, 14, 82-103. doi: 10.4236/ojbm.2026.141006 . Financial planning is increasingly recognised no ...

A deep geothermal well drilled in Yuanshan, Taiwan indicates an upwelling heat source that warrants further investigation and exploration drilling. The deep geothermal well drilled in the township of ...

Choosing the right AI chatbot depends heavily on your specific needs, workflow, and budget. In 2025, the AI landscape has evolved dramatically, ...

No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.