Category
Education
Language
Python

Modular Object-Oriented Games (MOOG): Python-based game engine for reinforcement learning, psychology, and neurophysiology.

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Category
Education
Language
Python

Language learners often use subtitled videos to help them learn. However, standard subtitles are geared more towards comprehension than vocabulary learning, as translations are nonliteral and are provided only for phrases, not vocabulary. This paper presents Smart Subtitles, which are interactive subtitles tailored towards vocabulary learning. 

MIT
Last Updated
Category
Education
Language
Python

MiniPlaces Challenge: an Educational Tool for Deep Learning in Computer Vision

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work of the future
Work of the Future Event of the Year
The 4th annual Congress was a virtual event that featured the final report from the MIT Task Force on the Work of the Future. Hosted by MIT's Task Force on Work of the Future, CSAIL, and Initiative on the Digital Economy, this year's Congress highlighted research findings from the MIT Task Force on Work of the Future's final report released in November 2020. Given the rapidly changing environment brought on by Covid-19, this topic is more important and relevant than ever.
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biggest tech breakthroughs
CSAIL article

Given that our smartphones have largely become appendages over the last decade, it’s hard to imagine that ten years ago there was no Instagram, Uber, TikTok or Tinder. The ways we move, shop, eat and communicate continue to evolve thanks to the technologies we use. It can be easy to forget how quickly things have changed - so let’s turn back the clocks and reminisce about some of the computing breakthroughs that have transformed our lives in the ’10s.

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MIT Schwarzman College of Computing
MIT news article

Jointly part of the School of Engineering and Schwarzman College of Computing, EECS is now composed of three overlapping sub-units in electrical engineering (EE), computer science (CS), and artificial intelligence and decision-making (AI+D), which brings together computer science-heritage AI and machine learning with electrical engineering-heritage information and decision systems to exploit their significant synergies. The department will remain responsible for Course 6.