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 ...
Lessons learned from implementing in AI at regulated medical device manufacturer, ResMed. This includes top 5 challenges and ...
For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...
The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...
Tech Xplore on MSN
Analyzer delivers real-time insights for US power grid
Researchers at the Department of Energy's Oak Ridge National Laboratory partnered with the University of Tennessee to develop ...
Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...
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.
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