An integrated intent-driven verification and distributed monitoring framework strengthens network infrastructure security by uniting real-time traffic analysis, machine learning-based threat detection ...

Researchers developed 3D flash memory chips that help self-driving vehicles plan optimal routes, using 74% less energy.

This creates what you might call the AI workflow paradox: the faster we can generate code, the more critical it becomes to ...

Nvidia is king in AI chips, but custom ASICs are gaining ground with Google, Amazon, Meta, Microsoft and OpenAI now making ...

UCLA researchers demonstrate diffractive optical processors as universal nonlinear function approximators using linear materials. They realized arbitrary sets of bandlimited nonlinear functions, ...

Transformers are a neural network (NN) architecture, or model, that excels at processing sequential data by weighing the ...

As the market regains its rhythm, BlockDAG, Litecoin (LTC), and Internet Computer (ICP) are rising as the top crypto assets ...

AI workflows fundamentally depend on real-time data movement: ingesting training data streams, feeding live data to models for inference and distributing predictions back to applications. But strip ...

Many climate scientists call our current epoch the “Anthropocene” — the first human-driven climate era. Many technologists ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials.