Programming
Programming

Programming

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction machine learning MIT Schwarzman College of Computing Programming Programming languages Research School of Engineering Software

MIT researchers propose a new model for legible, modular software

The coding framework uses modular concepts and simple synchronization rules to make software clearer, safer, and easier for LLMs to generate.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Programming Programming languages Research School of Engineering Software

Can AI really code? Study maps the roadblocks to autonomous software engineering

A team of researchers has mapped the challenges of AI in software development, and outlined a research agenda to move the field forward.

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Combining technology, education, and human connection to improve online learning

Caitlin Morris, a PhD student and 2024 MAD Fellow affiliated with the MIT Media Lab, designs digital learning platforms that make room for the “social magic” that influences curiosity and motivation.

Algorithms Artificial Intelligence Brain and cognitive sciences Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Programming Programming languages Research School of Engineering School of Science

Making AI-generated code more accurate in any language

A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Defense Advanced Research Projects Agency (DARPA) Department of Energy (DoE) Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Programming Research

User-friendly system can help developers build more efficient simulations and AI models

By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.

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MIT launches new Music Technology and Computation Graduate Program

The program will invite students to investigate new vistas at the intersection of music, computing, and technology.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) Language machine learning MIT Schwarzman College of Computing Programming Research School of Engineering

LLMs develop their own understanding of reality as their language abilities improve

In controlled experiments, MIT CSAIL researchers discover simulations of reality developing deep within LLMs, indicating an understanding of language beyond simple mimicry.

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“They can see themselves shaping the world they live in”

Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.

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

MIT researchers introduce generative AI for databases

This new tool offers an easier way for people to analyze complex tabular data.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) Language machine learning MIT Schwarzman College of Computing Programming Research School of Engineering

Technique improves the reasoning capabilities of large language models

Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.