Programming
Programming

Programming

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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.

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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.

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MIT researchers introduce generative AI for databases

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

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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.

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The power of App Inventor: Democratizing possibilities for mobile applications

More than a decade since its launch, App Inventor recently hosted its 100 millionth project and registered its 20 millionth user. Now hosted by MIT, the app also supports experimenting with AI.

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Creating bespoke programming languages for efficient visual AI systems

Associate Professor Jonathan Ragan-Kelley optimizes how computer graphics and images are processed for the hardware of today and tomorrow.

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Natural language boosts LLM performance in coding, planning, and robotics

Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.

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“We offer another place for knowledge”

After acquiring data science and AI skills from MIT, Jospin Hassan shared them with his community in the Dzaleka Refugee Camp in Malawi and built pathways for talented learners.

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Generating opportunities with generative AI

Rama Ramakrishnan helps companies explore the promises and perils of large language models and other transformative AI technologies.