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

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

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, ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Manish Tripathi has experience in artificial intelligence and machine learning, with a focus on applying AI in business ...

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

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

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.