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

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...

Anyone exploring technological advances in artificial intelligence (AI) will inevitably encounter spiking neural networks (SNNs) — the next step toward energy‑efficient real‑time AI. The difference ...

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

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

The latest craze in the fitness world—from gym culture, to nutrition planning, to recovery protocols— is hyper-personalized optimization. But is there really a benefit to at-home microbiome tests that ...

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

Algorithms, markets, supply chains and national security systems make real-time decisions based on data as their primary input. Enterprise valuations rest on the integrity and reliability of their ...

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

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

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

Tariffs and inflation dominate headlines, but personalized pricing is the real affordability crisis The post Everything Costs ...