Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
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The next frontier of machine learning: 2026 breakthroughs and the rise of world models
The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...
A new research model called PiGRAND merges physics guidance with graph neural diffusion to predict and control AM processes.
Researchers introduce a novel generative AI-driven framework, MMCN (Memory-aware Multi-Conditional generation Network), for ...
A Rutgers team developed a dual digital twin method to protect additive manufacturing processes from cyberattacks.
Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold ...
Chat3D is rethinking 3D modeling with custom software, workflow automation and machine learning tools built for real ...
The IAEA is inviting research organizations to join a new project that will use machine learning to better predict structural changes in polymers caused by ionizing radiation. Rad ...
Machine learning models trained on molecular quadrupole moments predict electrostatic potentials rapidly, enabling faster ...
Using machine learning regression models, we predict porosity (measure of potential storage volume) and permeability (measure ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
Adaptive laser beam shaping with a deformable mirror enables efficient energy and material usage in laser welding and ...
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