MIT CSAIL PhD students weigh in on their favorite AI programs. Full video: https://bit.ly/4gltvqi | CSAIL - MIT
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A day in the life of an MIT CSAIL PhD student: https://bit.ly/3UoFXMN | CSAIL - MIT
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Spend the day w/an MIT CSAIL PhD student working in data visualization: https://bit.ly/3AlY3Zw | CSAIL - MIT
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A new AI model from MIT CSAIL researchers crafts smooth, high-quality videos in seconds: https://bit.ly/3GKkSJQ Their "CausVid" system combines the photorealism of diffusion models w/the speed of autoregressive approaches, potentially making it a convenient tool for editing videos & creating training data for robots. | CSAIL - MIT
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Free MIT course breaks down foundation models & genAI: https://bit.ly/4fCeilR Here, CSAIL researcher & lead lecturer Rickard Brüel Gabrielsson discusses AGI & a key innovation behind AI systems: learning from observation (Lecture 1). | CSAIL - MIT
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What are Diffusion Models? | IBM
What are Diffusion Models? | IBM
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Sequence models have skyrocketed in popularity for their ability to analyze data & predict what to do next. MIT’s "Diffusion Forcing" method combines the strengths of next-token prediction (like w/ChatGPT) & video diffusion (like w/Sora), training neural networks to handle corrupted data while predicting the next steps. This flexible, reliable sequence model helps produce higher-quality artificial videos and guides more precise decision-making for robots & AI agents: https://bit.ly/3BK2wWC Full
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