AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

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

Live AI interpreters must grasp meaning, tone, and intent even when sentences unfold slowly or indirectly. Languages differ ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

Explore how Sai Vamsi Kiran Gummadi is transforming financial systems for zero downtime and enhanced security through ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

By combining a custom-built optical instrument with physics-based modeling and machine learning, the study shows that leaf-level optical properties ...

Sujit Murumkar is a visionary leader who designed and implemented enterprise scale modern data ecosystems for one of the ...

Latency issues with cloud: AI often demands near-zero latency to deliver actions. "Applications requiring response times of 10 milliseconds or below cannot tolerate the inherent delays of cloud-based ...