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PatternEx human-machine collaboration
MIT news article

MIT startup PatternEx starts with the assumption that algorithms can’t protect a system on their own. The company has developed a closed loop approach whereby machine-learning models flag possible attacks and human experts provide feedback. The feedback is then incorporated into the models, improving their ability to flag only the activity analysts care about in the future.

applied cybersecurity

2:00PM - 3:30PM EST

How the United States adopts AI will have profound ramifications for our immediate security, economic well-being, and position in the world. The Commission’s Interim Report to Congress provides an initial assessment on AI’s relationship to national security, preliminary judgements on areas where the United States can do better, and suggests interim actions the government can take today. The Commission looks forward to hearing from the Harvard community on the types of recommendations that must be considered to prepare for an AI future.

Reality Hack Hackathon
Join us in experiencing VR/AR/XR projects created during the MIT Reality Hack Hackathon 2020! Co-hosted with VR/AR@MIT.

2:00PM - 4:30PM EST

After an intense weekend of creating projects, teams at MIT Reality Hack will show off their hard work! Over 300 participants working as developers, designers, and specialists will participate in this year's Reality Hack. The Public Expo is your chance to check out the projects that participants produce.

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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.

Martin Wolfe, IBM STL Lecture

4:00PM - 5:00PM EST

This talk covers work being done in the Retail and Consumer Products industries, where there is a need to track and trace live goods including plants and food. The technical aspects of how to implement this will be covered including where Internet of Things (IoT) sensors are leveraged to provide location, status, and state to know previous, current, and future provenance of products materials, and consumer goods. Blockchain, sensors, and analytics will be covered in specifically how they are used in various examples.