Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...
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Programmable metasurface generates dozens of holograms at once
Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...
There's an important distinction between AI that just works today, and AI that lasts at scale. Many companies optimize hard ...
A year is a long time in AI, and OpenAI is showing it at a top coding contest. At the AtCoder World Tour Finals Heuristic 2026, the same event where OpenAI narrowly lost to a human coder last summer, ...
XMPro Multi-Agent Generative Systems (MAGS) is the centrally-planned, physics-grounded operating layer for upstream, ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
Explore how AI transforms crash tests and factory design, enhancing safety, efficiency, and innovation in automotive manufacturing.
A new study combines Large Language Models and behavioral mathematics to analyze human decision-making text data at scale.
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