A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
Lessons learned from implementing in AI at regulated medical device manufacturer, ResMed. This includes top 5 challenges and ...
Tech Xplore on MSN
Deepfakes leveled up in 2025—here's what's coming next
Over the course of 2025, deepfakes improved dramatically. AI-generated faces, voices and full-body performances that mimic ...
In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...
Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback