Depending on the underlying graph, you also need to handle cycles intelligently. In social networks, mutual relationships are ...

The ‘Mad Men’ have finally left the building. With legendary networks dissolving into data-driven super-structures, industry leaders ask if the golden age of the ‘Big Idea’ is over and if the ...

A global collaboration including Sunwoda, Chery, Nobel laureate M. Stanley Whittingham, Semitronix, the University of ...

One downside of enterprise AI is that many systems still function as a black box — they produce results but offer little visibility into how they reached them. NetSuite is designing its systems around ...

Shantanu Kumar ’26, the first student to enroll in SOM’s joint-degree program with the Yale School of Engineering & Applied ...

AI enthusiasts are right that projects like AlphaFold are a huge leap forward, but the philosophy of science shows why ...

Learn the multi-speed approach that strengthens entity identity, builds algorithmic confidence, and boosts visibility in AI-powered results.

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.

The study introduces a three-circle convergence framework, AI, smart functionality and sustainability, demonstrating that the ...

When renewables fall short, electricity prices spike. Storage, flexible grids, and smart trading keep the lights on - and costs down.

The memory of traditional enterprises is discrete, fragile, and “dead data.” An AI-Native enterprise must possess a writable, evolvable long-term memory center. All decision logic, interaction ...