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 ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...

Lessons learned from implementing in AI at regulated medical device manufacturer, ResMed. This includes top 5 challenges and ...

Researchers at the Department of Energy's Oak Ridge National Laboratory partnered with the University of Tennessee to develop ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

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 ...

Introduction AMD FSR Redstone, previously FSR 4, has rolled out in different phases. The first phase began at the beginning ...

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.