Blockchain could make smart devices far more secure, but sluggish data sharing has held it back. Researchers found that messy ...

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

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 latest craze in the fitness world—from gym culture, to nutrition planning, to recovery protocols— is hyper-personalized ...

Leading manufacturers are responding not with generic devices, but with precisely engineered solutions tailored to distinct ...

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

The principle of centrifugal separation is ancient, but its modern industrial application is a feat of precision engineering.

As IoT deployments continue to expand across manufacturing, healthcare, retail, and public infrastructure, enterprises are shifting their focus from simple device connectivity to a more critical ...

Sources told Bloomberg late Thursday that the startup, which is led by AI pioneer Fei-Fei Li, could receive a valuation of $5 ...

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 ...