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

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

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, ...

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

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

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

Delve into the critical role of robust components enabling the next generation of robotics and assistive technologies across ...

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

As cars have evolved into rolling computing platforms, vehicle safety now extends well beyond the traditional seat belt.

A new communication-collective system, OptiReduce, speeds up AI and machine learning training across multiple cloud servers by setting time boundaries rather than waiting for every server to catch up, ...

Forward-thinking companies consider AI in product development to meet the demand for intelligent devices. In other words, ...