Putting AI to work safely: automated workflows, assistants grounded in your own content, evaluations, and a person in charge.
The service behind this topic: AI & automation
AI & automation13 min read
AI-generated robot training data comes from simulators and generative models. How it is made, how teams measure the sim-to-real gap, and where it fails.
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AI & automation14 min read
How AI speeds drug discovery, from targets and AlphaFold to toxicity and trials, and why no drug found mainly by AI was approved as of September 2026.
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AI & automation15 min read
AI continuous learning means a model keeps learning after deployment. Deep networks forget and lose plasticity, so teams retrain, fine-tune or use retrieval.
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AI & automation16 min read
Why AI matters in computer science: what the field is, where it runs inside compilers, databases, networks and security today, and the risks it brings.
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AI & automation15 min read
AI in materials science predicts properties from crystal structure, replaces slow simulations and proposes new crystals; only lab tests confirm them.
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AI & automation13 min read
AI reads screening mammograms as a second reader or triage tool. What MASAI, PRAIM and EDITH show, which tools the FDA lists, and where AI falls short.
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AI & automation19 min read
Generative AI creates new text, images, audio, code and video from patterns learned in training. How the models work, what they are used for, and the risks.
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AI & automation15 min read
Where AI changed science, from AlphaFold's Nobel Prize to AI-found antibiotics, crystals, weather and maths, and what labs and proofs actually confirmed.
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AI & automation17 min read
Fairness in AI means a model's outcomes and errors do not fall unjustly on some groups. The definitions, where bias starts, the fixes and the rules.
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AI & automation16 min read
AGI means AI that matches skilled people across most cognitive work. How compute, AI supercomputers and scaling laws relate to it, and what is still unproven.
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