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Updates every hour. Last Updated: 24-Oct-2026 10:15 ET (24-Oct-2026 14:15 GMT/UTC)
An untethered ring-shaped miniature robot with axisymmetric vibrations and non-axisymmetrically arranged feet
Research- Journal
- Research
- Funder
- National Natural Science Foundation of China, Postdoctoral Fellowship Program and China Postdoctoral Science Foundation
[Research Article] An LLM-based multi-agent system for remote sensing analysis
Big Earth Data- Journal
- Big Earth Data
Research identifies farming practices that improve irrigation efficiency
Mississippi State University- Journal
- Agricultural Water Management
- Funder
- Agricultural Research Service
Hanyang University researchers achieve controllable doping in organic semiconductors
Hanyang University Research Strategy Planning TeamLewis-paired dopants are a promising way to achieve strong, stable doping in organic semiconductors, but their high reactivity makes precise control over doping levels difficult. In a recent study, researchers from Korea tackled this issue by showing that solvent polarity can regulate dopant reactivity during processing. Using this new strategy, they achieved finely tunable, efficient, and stable doping across multiple organic semiconductors, supporting the development of next-generation flexible and sustainable organic electronics.
- Journal
- Advanced Materials
A Pusan National University study explores the meaning of creativity in AI in the novel Ada
Pusan National University- Journal
- French Forum
This paint changes colors when hit - the uses are striking
Tufts University- Journal
- Advanced Science
- Funder
- Office of Naval Research
Why employee AI adoption isn’t one-size-fits-all
Texas A&M UniversityAs artificial intelligence becomes more deeply embedded in everyday life and work, organizations are investing heavily in tools and employee training. But new research from Texas A&M University suggests a one-size-fits-all approach may miss a fundamental truth: people don’t all respond to AI the same way.
In a paper published in the journal Customer Needs and Solutions, Dr. Shrihari Sridhar, the Joe Foster ’56 Chair in Business Leadership and senior associate dean at Texas A&M University’s Mays Business School, and his co-author, Dr. Huachao Gao, say that AI adoption has often been treated as if people share a single attitude toward the technology.
Their findings suggest the opposite: people experience AI in markedly different ways depending on their individual perspectives and the context in which they’re using it — a concept they call “AI-heterogeneity.”
- Journal
- Customer Needs and Solutions