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Researchers from MIT present a generative artificial intelligence for databases.

Algorithms, Artificial Intelligence, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Defense Advanced Research Projects Agency (DARPA), Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, Programming, Programming languages, Research, School of Engineering, School of Science, UncategorizedJuly 8, 202463Views0Likes0Comments
GenSQL, a new AI tool developed by scientists at MIT, is designed to simplify the complex statistical analysis of tabular data, enabling users to readily understand and interpret their databases. To this end, users don't need to grasp what is happening behind the scenes to develop accurate insights. The system's capabilities include making predictions, identifying anomalies,…

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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, 202475Views0Likes0Comments
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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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, 202479Views0Likes0Comments
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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