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Turning CO₂ into methanol: Multilayer machine learning speeds up search for better catalysts
Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...
Nvidia's Nemotron-Cascade 2 is a 30B MoE model that activates only 3B parameters at inference time, yet achieved gold ...
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 ...
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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 ...
Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...
A new soil-moisture retrieval strategy has improved the accuracy of satellite-based moisture mapping by combining microwave ...
Google-Tesla MagNet Challenge is an annual competition. It’s designed to accelerate innovation in magnetic modeling using ...
Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...
CoinSageAI, a fintech company focused on artificial intelligence and quantitative trading technologies, has introduced an ...
A hobbyist maker has taken Nerf modding to the next level by integrating machine learning into a custom-built blaster called ...
At this month’s Nvidia GTC developer event, panelists discussed how AI technology will continue to evolve — sometimes in ...
This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
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