The feeling of looking up to " MIT " never fades away, I love reading its history, research, dedication and the MIT culture. But Let's focus on CS and AI @ MIT from a public view in this blog post. For a virtual tour - MIT Virtual Tour, MIT bloggers, Flickr, Youtube 1, Youtube 2, A Day in the Life: MIT, Youtube 3, MIT, Video Tour : MIT etc. Make sure to have a Google Earth 3D tour, especially Strata centre [Home of CSAIL] after you have gone through the MIT map from here. For MIT classes, lectures and notes, we have MIT OCW. Also, there's plenty of fun stuff at MIT Battlecode, Hack MIT, MIT Integration Bee, MIT Robotics. etc , make sure to check them out. Also follow the Profs and Researchers from MIT, all of them are making impact in the world in some way or other. I have been following some of them - Daniela Rus, Eric Demaine, and more to explore :)

Now Let's get started with

Welcome Home, I guess ! MIT CS [EECS] is huge, but we will focus only on CSAIL. It will not be easy to digest everything, but focus and make sure to understand and go through everthing I list here. This blog is personal as well as public, so everything I list here, I personally kind of understand them word by word, helps me get a grisp of the content. Hope you enjoy! " Mens et Manus"

I will focus this blog on three areas:

⌘ AI & Machine Learning

⌘ Security & Cryptography

⌘ Systems & Networking

∞ AI²: an AI-driven predictive cybersecurity platform

∞ Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

∞ The STEALTH Cyber Security Project

∞ Through-Wall Human Pose Estimation Using Radio Signals

∞ The MIT DARPA Robotics Challenge Team

∞ Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
aka Robots Teaching Themselves to See

∞ RoadTracer: Automatic Extraction of Road Networks from Aerial Images Video

∞ Drone Navigation in Uncertain Environments VIDEO

∞ Printable programmable viscoelastic materials for robots VIDEO

∞ Neural Adaptive Bitrate Streaming using Reinforcement Learning

They have built various other interesting projects like - MIT Cheetah Project, Self Driving Cars, Transforming Robots with Origami Exoskeletons, Robotic Fish, Data Garbling: Computing on Encrypted Data, Fooling Neural Networks, Shape-shifting Display, Amoeba: A shape changing storage system for big data

Many Projects are secret research and collaboration between partner labs, and are not out for public. | MIT CSAIL publications