The "godfathers of deep learning": Hinton, LeCun and Bengio
Who Geoffrey Hinton, Yann LeCun and Yoshua Bengio are, the ideas that won them the 2018 Turing Award, and why the three now disagree sharply about the risks of AI.
AI Desk3 min read
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Deep dives, analysis, features and opinion on artificial intelligence.
Who Geoffrey Hinton, Yann LeCun and Yoshua Bengio are, the ideas that won them the 2018 Turing Award, and why the three now disagree sharply about the risks of AI.
AI Desk3 min read
From Ada Lovelace to Fei-Fei Li, Daphne Koller, Joy Buolamwini and Timnit Gebru: the researchers and leaders whose work on data, algorithms and ethics shaped modern AI.
AI Desk3 min read
The history of OpenAI: its 2015 nonprofit founding, capped-profit shift, Microsoft partnership, GPT models and ChatGPT, the 2023 board crisis and restructuring.
AI Desk3 min read
The history of DeepMind: its 2010 founding in London, the Google acquisition, AlphaGo, AlphaFold and a Nobel Prize, the merger with Google Brain and the Gemini models.
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A guide to the top machine learning and AI research conferences, what each focuses on, how peer review works, and why conferences matter more than journals in AI.
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Practical advice for attending AI research and industry conferences: planning sessions, reading posters, networking, presenting your work and following up afterwards.
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What machine learning engineers, AI engineers, data scientists, research scientists, MLOps engineers and AI product managers actually do, and the skills each role needs.
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A step-by-step roadmap into AI careers: foundations, courses, projects, portfolios, open source, networking and job applications — for students and career changers.
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A sustainable system for following AI: choosing a few trusted sources, filtering hype, reading primary sources and building a weekly routine that fits your goals.
AI Desk3 min read
A curated guide to long-running AI podcasts and newsletters for different audiences — researchers, builders, business readers and beginners — and how to pick yours.
AI Desk4 min read
From 3Blue1Brown's visual neural network series to Andrej Karpathy's Zero to Hero and university lectures: the best free videos for learning AI, by level.
AI Desk3 min read
A curated list of influential AI talks and lectures — on how language models work, the history of deep learning, AI safety and the future of work — and what each teaches.
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Where to learn, share and collaborate on AI: Hugging Face, Kaggle, research forums, open-source collectives, Discord and Reddit communities, meetups and affinity groups.
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A step-by-step guide to contributing to open-source AI: finding a project, starting with docs and issues, making pull requests, and sharing models or datasets.
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From the DARPA Grand Challenge and the Netflix Prize to ImageNet, CASP and the ARC Prize: competitions that accelerated AI progress, and what made them so influential.
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A practical guide to machine learning competitions and hackathons: choosing events, baselines, validation, teamwork, presenting projects and learning from winners.
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What Perplexity does, how it differs from a chatbot and a search engine, the best ways to use it for research, its limits, and who should try it.
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What n8n is, how its visual workflows and AI nodes work, example automations, self-hosting versus cloud, and when it is a better choice than Zapier or code.
AI Desk3 min read