How Do Weather Forecasting Models Work?
Weather forecasting models are computer simulations that estimate how the atmosphere will evolve from an analyzed starting state. They translate physical laws into numer…
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Weather forecasting models are computer simulations that estimate how the atmosphere will evolve from an analyzed starting state. They translate physical laws into numer…
Aurora forecasts combine measurements of the Sun and solar wind with models of Earth's magnetosphere. Scientists are not predicting a fixed light show at a precise stree…
The Higgs boson is the quantum excitation of the Higgs field, a field that fills space and is central to how elementary particles acquire mass in the Standard Model.
The Standard Model is the quantum theory that describes known elementary particles and the electromagnetic, weak and strong interactions among them, but it does not incl…
Particle physics studies the fundamental constituents of matter and radiation, the forces that act between them, and the high-energy processes that reveal how nature wor…
AI can help drug researchers search chemical space, identify targets, predict molecular properties, design candidate molecules, and prioritize experiments, but laborator…
AI weather models learn patterns from historical atmospheric data and can produce forecasts quickly, complementing the physics-based numerical models used by meteorologi…
Foundation models are AI models trained on broad data so they can be adapted to many downstream tasks rather than being built for only one narrow job.
Large language models are machine-learning models trained on large text collections to predict and generate language, often using the transformer architecture.
AI for science uses machine learning, foundation models and research agents to analyze data, propose models, guide experiments and accelerate parts of scientific discove…
Quarks are elementary particles that carry electric and color charge. They bind through the strong interaction to form hadrons such as protons and neutrons.
Neutrinos are electrically neutral elementary particles with extremely small masses that interact through the weak force and gravity.
Embodied AI studies intelligent agents that perceive and act through a physical or simulated body, grounding learning and reasoning in interaction with an environment.
Agentic AI describes AI systems that can pursue goals through planning, tool use, actions and feedback. AI agents are concrete systems that implement this pattern with m…
Generative AI learns patterns from large datasets and uses those patterns to create new text, images, audio, code, and other content.