A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...

If the U.S. lacks consistent standards for protecting user data, other nations can develop algorithms and technologies that ...

The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

Economic uncertainty and the arrival of AI have brought a reduction in entry-level roles, with potentially disastrous consequences for young people ...

With the wide application of UAVs in modern operations, efficient cooperative task assignment of heterogeneous UAVs under complex constraints has ...

Even very slight environmental noise, such as microscopic vibrations or magnetic field fluctuations a hundred times smaller ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

SharpSMT first fuses DPLL(T) polytope enumeration with new factorization, variable-elimination and caching pre-processing, ...

Success continues to take on new meaning as women across industries lead with clarity, creativity, and purpose. Th ...

Vitalik Buterin argues Ethereum should remain secure and functional even if core developers “walk away.” Here’s what the ...

A deep learning algorithm called FaceAge could allow clinicians to improve their qualitative assessments, and possibly catch ...