Category
MIT IA
Toute l’actualité IA du MIT
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Using ideas from game theory to improve the reliability of language models
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The power of App Inventor: Democratizing possibilities for mobile applications
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From steel engineering to ovarian tumor research
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A better way to control shape-shifting soft robots
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Creating bespoke programming languages for efficient visual AI systems
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HPI-MIT design research collaboration creates powerful teams
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Exploring frontiers of mechanical engineering
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Natural language boosts LLM performance in coding, planning, and robotics
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An AI dataset carves new paths to tornado detection
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Julie Shah named head of the Department of Aeronautics and Astronautics
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Mapping the brain pathways of visual memorability
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This tiny chip can safeguard user data while enabling efficient computing on a smartphone
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To build a better AI helper, start by modeling the irrational behavior of humans
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Advancing technology for aquaculture
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Using deep learning to image the Earth’s planetary boundary layer
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3 Questions: Enhancing last-mile logistics with machine learning
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New AI method captures uncertainty in medical images
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A faster, better way to prevent an AI chatbot from giving toxic responses
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Extracting hydrogen from rocks
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When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria
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A new computational technique could make it easier to engineer useful proteins
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MIT launches Working Group on Generative AI and the Work of the Future
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MIT-derived algorithm helps forecast the frequency of extreme weather
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Large language models use a surprisingly simple mechanism to retrieve some stored knowledge
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Engineering household robots to have a little common sense
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AI generates high-quality images 30 times faster in a single step
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New algorithm unlocks high-resolution insights for computer vision
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Five MIT faculty members take on Cancer Grand Challenges
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3 Questions: What you need to know about audio deepfakes
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Researchers enhance peripheral vision in AI models
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Using generative AI to improve software testing
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Dealing with the limitations of our noisy world
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Startup accelerates progress toward light-speed computing
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Brain surgery training from an avatar
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New AI model could streamline operations in a robotic warehouse
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“We offer another place for knowledge”
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Generative AI for smart grid modeling
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Putting AI into the hands of people with problems to solve
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New model identifies drugs that shouldn’t be taken together
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This tiny, tamper-proof ID tag can authenticate almost anything
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Using AI to discover stiff and tough microstructures
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A new way to let AI chatbots converse all day without crashing
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Safer skies with self-flying helicopters
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Six MIT students selected as spring 2024 MIT-Pillar AI Collective Fellows
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How symmetry can come to the aid of machine learning
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Generating the policy of tomorrow
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Q&A: A blueprint for sustainable innovation
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What to do about AI in health?
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New hope for early pancreatic cancer intervention via AI-based risk prediction
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Reasoning and reliability in AI
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Stratospheric safety standards: How aviation could steer regulation of AI in health
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Multiple AI models help robots execute complex plans more transparently
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Technique could efficiently solve partial differential equations for numerous applications
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AI agents help explain other AI systems
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Complex, unfamiliar sentences make the brain’s language network work harder
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Using AI, MIT researchers identify a new class of antibiotic candidates
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A flexible solution to help artists improve animation
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Image recognition accuracy: An unseen challenge confounding today’s AI
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Computational model captures the elusive transition states of chemical reactions
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AI meets climate: MIT Energy and Climate Hack 2023
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Three MIT students selected as inaugural MIT-Pillar AI Collective Fellows
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Deep neural networks show promise as models of human hearing
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Closing the design-to-manufacturing gap for optical devices
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A computer scientist pushes the boundaries of geometry
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MIT group releases white papers on governance of AI
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Automated system teaches users when to collaborate with an AI assistant
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MIT engineers develop a way to determine how the surfaces of materials behave
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AI accelerates problem-solving in complex scenarios
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What does the future hold for generative AI?
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New method uses crowdsourced feedback to help train robots
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Search algorithm reveals nearly 200 new kinds of CRISPR systems
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Students pitch transformative ideas in generative AI at MIT Ignite competition
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Synthetic imagery sets new bar in AI training efficiency
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Technique enables AI on edge devices to keep learning over time
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This 3D printer can watch itself fabricate objects
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Explained: Generative AI
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Using AI to optimize for rapid neural imaging
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2023-24 Takeda Fellows: Advancing research at the intersection of AI and health
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Generating opportunities with generative AI
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The brain may learn about the world the same way some computational models do
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Accelerating AI tasks while preserving data security
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New techniques efficiently accelerate sparse tensors for massive AI models
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Celebrating Kendall Square’s past and shaping its future
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To excel at engineering design, generative AI must learn to innovate, study finds