Founded by an OSU researcher, the startup is developing AI agents that can become experts in any domain.

Discover how competitive cooking shows like Hell’s Kitchen actually improve real cooking skills through psychology and ...

Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of ...

Systematic review applies Activity Theory to map how generative AI tools shape second language writing development ...

Crypto markets operate continuously, react quickly to global events, and can shift direction within minutes. For new traders, ...

The Office of Undergraduate Research organizes the Symposium of Student Scholars twice per year, offering students a unique ...

Fine-tuning TCAD parameters with real-world feedback from test wafers is essential for quantitatively accurate and predictive results.

Explore Hermes Agent, the 24/7 self-evolving AI that adapts to your workflows, builds memory, and generates UI components automatically.

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

Scientists from Purdue University and the University of South China have developed a new alloy by using a machine algorithm ...

Reinforcement learning has become the central approach for language models (LMs) to learn from environmental reward or feedback. In practice, the environmental feedback is usually sparse and delayed.

The Kolb Learning Cycle is a popular model of experiential learning in which agents move through four phases: experimentation, concretization, observation, and conceptualization. This model is a ...