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Computer Science and Artificial Intelligence Laboratory (CSAIL)

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Researchers utilize extensive language models to assist robots with navigation.

Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Data, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, Robotics, Robots, School of Engineering, UncategorizedJune 12, 202430Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a language-based navigational strategy for AI robots. The method uses textual descriptions instead of visual information, effectively simplifying the process of robotic navigation. Visual data traditionally requires significant computational capacity and detailed hand-crafted machine-learning models to function effectively. The researchers' approach involves converting a…

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A methodology for enhancing the efficiency of versatile robots.

Aeronautical and astronautical engineering, Artificial Intelligence, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, Robots, School of Engineering, UncategorizedJune 3, 202429Views0Likes0Comments
MIT researchers have developed a technique to train robots on multiple tasks by combining and optimising data from a variety of sources. At the core of their work is a type of generative AI known as a 'diffusion model', which learns from a specific dataset to complete a task. However, the particular innovation here lies…

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Searching for a particular activity in a video? This method, powered by artificial intelligence, can locate it for you.

Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Data, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, School of Engineering, Uncategorized, VideoMay 29, 202433Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have introduced an efficient method to train machine-learning models to identify specific actions in videos by making use of the video's automatically generated transcripts. The method, known as spatio-temporal grounding, helps the model intricately understand the video by dissecting it and analysing it through the lens…

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The diffusion control model can alter the characteristics of the material present in pictures.

Artificial Intelligence, Computer graphics, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Games, Imaging, Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedMay 29, 202435Views0Likes0Comments
A team of researchers from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and Google Research have developed an image-to-image diffusion model called Alchemist, which allows users to modify the material properties of objects in photos. The system adjusts aspects such as roughness, metallicity, innate color (albedo), and transparency, and can be applied to…

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The Engineering Department extends a warm welcome to its latest professors.

Aeronautical and astronautical engineering, Artificial Intelligence, Biological engineering, Broad Institute, Chemical engineering, Civil and environmental engineering, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Cryptography, Data, DMSE, Economics, Electrical Engineering & Computer Science (eecs), Electronics, Environment, Faculty, Human-computer interaction, human-robot interaction, IDSS, Immunology, Laboratory for Information and Decision Systems (LIDS), Machine learning, Media Lab, Medicine, MIT Schwarzman College of Computing, Music, Music and theater arts, Research Laboratory of Electronics, Robotics, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, UncategorizedMay 24, 202443Views0Likes0Comments

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Scientists employ generative artificial intelligence to tackle intricate queries in the field of physics.

Artificial Intelligence, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Machine learning, Mathematics, MIT Schwarzman College of Computing, Physics, Research, School of Engineering, School of Science, UncategorizedMay 16, 202439Views0Likes0Comments
Researchers from MIT and the University of Basel in Switzerland have developed a new machine-learning framework that can map phase diagrams for novel physical systems automatically. By applying generative artificial intelligence models, the team has developed a more efficient method for tracking and understanding phase transitions in water and other complex physical systems, which offers…

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Improving the dependability of language models by leveraging concepts from game theory.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Game theory, Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural language processing, Research, Robotics, School of Engineering, UncategorizedMay 15, 202433Views0Likes0Comments
Researchers from MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) have designed a new type of game to enhance how artificial intelligence (AI) comprehends and produces text. This "consensus game" includes two parts of an AI system - the part that generates sentences and a part that evaluates those sentences. This model significantly improved the…

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An improved method for regulating the transformation of flexible robots.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, Research, Robotics, Robots, School of Engineering, UncategorizedMay 10, 202440Views0Likes0Comments
Scientists at MIT have been working on the design and control of a reconfigurable, squishy, soft robot, similar in nature to 'slime', that has potential applications in healthcare, wearable devices and industrial systems due to its ability to shape-shift to complete varying tasks. These soft robots currently only exist in labs and do not possess…

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Developing custom coding languages for effective visual artificial intelligence systems.

Artificial Intelligence, Computer graphics, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Faculty, Games, Information systems and technology, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Profile, Programming, Programming languages, School of Engineering, Uncategorized, VideoMay 4, 202439Views0Likes0Comments
Associate Professor Jonathan Ragan-Kelley at the MIT Department of Electrical Engineering and Computer Science is a creator behind many innovative technologies used in photographic image processing and editing. Ragan-Kelley has contributed to the visual effects industry and was instrumental in designing the Halide programming language, a tool widely used in the photo editing sector. Ragan-Kelley,…

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HPI-MIT’s joint design research effort fosters formidable teams.

Artificial Intelligence, Business and management, Cleaner industry, Climate change, Collaboration, Computer Science and Artificial Intelligence Laboratory (CSAIL), Cybersecurity, Design, Electrical Engineering & Computer Science (eecs), Environmental Solutions Initiative, Innovation and Entrepreneurship (I&E), Machine learning, Manufacturing, MIT Morningside Academy for Design, MIT Sloan School of Management, Renewable energy, Research, School of Architecture and Planning, School of Engineering, Startups, Supply chains, UncategorizedMay 4, 202440Views0Likes0Comments
The recent ransomware attack on ChangeHealthcare underscores the disruptive nature of supply chain attacks. Such attacks are becoming increasingly prominent and often target large corporations through the small and medium-sized vendors in their corporate supply chains. Researchers from Massachusetts Institute of Technology (MIT) and Hasso Plattner Institute (HPI) in Potsdam, Germany, are investigating different organizational…

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Improved coding, planning, and robotics performance can be attributed to the enhancement brought about by natural language.

Artificial Intelligence, Brain and cognitive sciences, Center for Brains Minds and Machines, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Defense Advanced Research Projects Agency (DARPA), Department of Defense (DoD), Electrical Engineering & Computer Science (eecs), Human-computer interaction, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, National Science Foundation (NSF), Natural language processing, Programming, Programming languages, Quest for Intelligence, Research, Robotics, School of Engineering, School of Science, UncategorizedMay 2, 202440Views0Likes0Comments
Researchers at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) presented three papers at the International Conference on Learning Representations, indicating breakthroughs in Large Language Models' (LLMs) abilities to form useful abstractions. The team used everyday words for context in code synthesis, AI planning, and robotic navigation and manipulation. The three frameworks, LILO, Ada,…

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