A seven-stage roadmap for learning AI from the fundamentals to a portfolio
A step-by-step path for self-learners: core concepts, basic Python, machine learning, deep learning, projects, generative AI tools, and choosing a specialization.
A step-by-step path for self-learners: core concepts, basic Python, machine learning, deep learning, projects, generative AI tools, and choosing a specialization.
A neural network built by two ESA researchers scanned nearly 100 million Hubble image cutouts and flagged more than 800 objects never before documented in the scientific literature.
A plain-language guide to how modern AI works: why rule-based programming gave way to machine learning, what neural networks do, and how chatbots predict the next word.
A plain-language guide to how AI moved from prediction to generation to autonomous agents, the terms that matter, and what the change means for careers and companies.
A curated list of YouTube channels, dataset libraries, structured courses and blogs for anyone starting out in machine learning, data science or generative AI.
A plain-language glossary of the core vocabulary of artificial intelligence, covering models, training, agents, tokens, inference and the standards now shaping AI tools.
The field of AI was formally named at a 1956 Dartmouth workshop. Its path since then runs through rule-based programs, expert systems, machine learning and the deep learning era.
Most people interact with machine learning systems many times a day without noticing. Here is where they sit, from phone unlocking and social feeds to banking, hiring and weather models.
Researchers have built AI systems that seek out novelty and ask their own questions. Whether that counts as curiosity depends on what you think curiosity is.
AI systems do not reason about right and wrong; they learn from data and rules people give them. That makes transparency, bias and human oversight the real test.
A unifying framework called I-Con shows that more than 20 classic machine learning algorithms share one underlying equation, and it has already yielded a new image classifier.
Hugging Face hosts more than a million open machine learning models and datasets, and its Spaces let anyone try chatbots, image generators and other AI demos in a browser for free.