Modular designs, machine learning, and real-time performance monitoring are helping to tackle the challenges of ESP ...

Quantum computing has the potential to significantly transform artificial intelligence due to its exponentially faster ...

AI visionaries predict an 'Era of Experience' where AI learns autonomously, and it will have important implications for ...

Scientists are turning to machine learning to predict diseases, design drugs, and uncover hidden patterns in massive datasets ...

The study underscores that traditional statistical approaches, while valuable, often fail to capture the intricate relationships between environmental, temporal, and situational factors leading to ...

Relubrication is one of the biggest sources of lost productivity and profits in bottling operations, wasting thousands of ...

Facing a future of soaring densities and faster deployments, Vertiv is positioning itself at the center of the AI data center ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

This highlights the pressing need for skilled professionals who can identify and mitigate biases in AI models, ensuring fairness and transparency in AI-driven decisions.​ Recognizing this imperative, ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

MIT researchers have now developed a machine-learning model that can make these predictions in less than a second, with high accuracy. Their model could make it easier for chemists to design chemical ...