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 ...

Understanding randomness is crucial in many fields. From computer science and engineering to cryptography and weather ...

Caltech professor of chemistry Sandeep Sharma and colleagues from IBM and the RIKEN Center for Computational Science in Japan ...

A new algorithm enables smartwatch fitness trackers to more accurately monitor energy expenditure of people with obesity ...

A research team has achieved the holy grail of quantum computing: an exponential speedup that’s unconditional. By using clever error correction and IBM’s powerful 127-qubit processors, they tackled a ...

Research team proposed new data placement algorithms for scratch-pad memory (SPM) in embedded systems. Their fine-grained and ...

Joshua New leads an Oak Ridge National Lab team that created a computer model of nearly every building in the United States.

The company says it has cracked the code for error correction and is building a modular machine in New York state.

Scientists are striving to discover new semiconductor materials that could boost the efficiency of solar cells and other ...

As a crucial strategic technology and resource, AI is now shifting from horizontal to vertical development, with a focus on ...

A research team at the University of Barcelona (UB) has shown how artificial intelligence (AI) models can detect personality ...

Will algorithms designed for interconnected computers hold up if some of the machines are not here on Earth but flying about in space, onboard satellites or spacecraft?