A firefly-inspired AI framework makes atomic structure prediction more robust by combining multimodal search with an uncertainty-aware machine learning technique. The method improves efficiency for ...
Overview By closely mimicking atom behavior, quantum processors offer the exact simulation needed to discover and design ...
Through a combination of smarter material choices and machine learning techniques, a team led by Sarah Haigh at the University of Manchester showed how these graphene “nano-aquariums” can work with ...
Addressing the VAKTAVYA 2026 organised by Hindu College, Union Minister of State (Independent Charge) for Science & ...
A web-based platform integrating generalized global neural network potentials and diffusion generative models was developed ...
U.S. Secretary of Energy Chris Wright, Under Secretary for Science Darío Gil, and ARPA-E Director Conner Prochaska visited ...
The 2026 Symposium, themed “Innovation and Resilience in a Changing World – Safeguards as a Shared Responsibility,” comes at a pivotal moment for the global nuclear sector.
From self‑doubt to success, two computer science students gained confidence through experiential learning that turned theory ...
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Quantum system of just nine atoms outperforms network made up of thousands of nodes
For years, progress in artificial intelligence has followed a simple rule: make it bigger ...
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Learning Fendt, one mishap at a time
Join us as we navigate and learn a Fendt tractor, overcoming small mishaps while mastering controls, handling, and field ...
Memento-Skills lets AI agents rewrite their own skills using reinforcement learning, hitting 80% task success vs. 50% for ...
Growing up in São Gonçalo, on the outskirts of Rio de Janeiro, Dandara experienced firsthand the impact of unreliable electricity.
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