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

Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations (edges) of collections of entities (nodes) which arise in a ...

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

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

A knowledge graph is a sophisticated data structure that links diverse data points through ... A key trend is the integration of AI and machine learning (ML), which enhances automation in data linking ...

Researchers from MIT and the MIT-IBM Watson AI Lab created a promising approach that augments an LLM with other machine-learning models known as graph-based ... based on those data. In the end, ...