Quantum computing future explained through cryptography, optimization, and AI breakthroughs showing how quantum computing ...

University of Tennessee researchers James Ostrowski and Rebekah Herrman are developing quantum-computing tools to tackle multi-stage stochastic decision problems in fields like energy, logistics, and ...

The solution isn't to abandon microtransit, but to evolve its role from a standalone service to a high-frequency feeder for ...

Global IT spending has crossed the multitrillion-dollar mark, with AI infrastructure representing one of the fastest-growing ...

Check out this new research in Engineering! It introduces an adaptive edge-cloud collaboration method for intelligent machine ...

A real-time feedback optimization framework enhances GenAI chatbot performance through low-latency data transmission, stronger semantic ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

At SAE World Congress 2026, Luminary, the Physics AI company, today announced SHIFT-Crash, the first Physics AI model that predicts full-vehicle crash response, including deformation and stress fields ...

In many countries, hydropower provides a dominant share of the electricity supply. This dependence brings environmental ...

Undergraduate students at Penn State Brandywine developed an environmentally friendly and easy method to synthesize compounds ...

Artificial intelligence is currently controlled by a number of tech giants in the United States and China. One professor ...