Thermal throttling destroys model training performance but only three laptop brands solved this critical engineering problem ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

A new algorithm opens the door for using artificial intelligence and machine learning to study the interactions that happen ...

Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

Systematic investing is an active approach to investing that emphasizes data-driven insights, scientific testing of ...

Handpicked titles for beginner to senior-level software rolesCovers coding, system design, clean code, and real-world problem ...

A review from Xidian University shows that advanced computational algorithms—from neural networks and matrix methods to recommendation engines and ...

MIT granted tenure to 11 faculty members across the School of Engineering. This year's tenured engineers hold appointments in ...