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Three students from MIT have been chosen as the first fellows for the MIT-Pillar AI Collective.

Artificial Intelligence, Awards, Computer science and technology, Data, Deshpande Center, Electrical Engineering & Computer Science (eecs), Graduate, Harvard-MIT Health Sciences and Technology, honors and fellowships, Innovation and Entrepreneurship (I&E), Machine learning, postdoctoral, School of Engineering, Students, UncategorizedMarch 7, 202440Views0Likes0Comments
The MIT-Pillar AI Collective has selected Alexander Andonian, Daniel Magley, and Madhumitha Ravichandra as its three inaugural fellows for the fall 2023 semester. All are on the cusp of concluding a master’s or PhD program and will aid in conducting research in artificial intelligence (AI), machine learning, and data science, backed by the program. The…

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Utilizing language to comprehend machines.

Artificial Intelligence, Classes and programs, Collaboration, Data, Electrical Engineering & Computer Science (eecs), Graduate, Human-computer interaction, Industry, Linguistics, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural language processing, postdoctoral, Research, School of Engineering, School of Humanities Arts and Social Sciences, Students, UncategorizedMarch 7, 202442Views0Likes0Comments
MIT engineering students Irene Terpstra ’23 and Rujul Gandhi ’22 are collaborating with the MIT-IBM Watson AI Lab to advance Artificial Intelligence (AI) systems using Natural Language Processing (NLP), taking advantage of the vast amount of natural language data available. Terpstra is focusing on the application of AI algorithms for computer chip design, leveraging the…

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Logical thinking and dependability in Artificial Intelligence

Artificial Intelligence, Communications, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Electrical Engineering & Computer Science (eecs), Graduate, Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Natural language processing, postdoctoral, Research, Robotics, School of Engineering, Students, UncategorizedMarch 7, 202443Views0Likes0Comments
MIT PhD students interning at the MIT-IBM Watson AI Lab are researching ways to improve the efficiency and accuracy of AI systems in understanding and communicating through natural language. The team, including Athul Paul Jacob, Maohao Shen, Victor Butoi, and Andi Peng, aims to enhance each stage of the process involving natural language models, from…

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Creating the strategy for the future.

Artificial Intelligence, Collaboration, Data, Graduate, Hackathon, Housing, IDSS, MIT Schwarzman College of Computing, Policy, postdoctoral, Special events and guest speakers, Students, Technology and policy, UncategorizedMarch 7, 202436Views0Likes0Comments
First-year students in the Social and Engineering Systems (SES) doctoral program within the MIT Institute for Data, Systems, and Society (IDSS), Eric Liu and Ashely Peake are focusing their research on studying housing inequality issues. Both students took part in the annual MIT Policy Hackathon, an initiative that brings together students from around the globe…

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Six students from MIT have been chosen as fellows for the MIT-Pillar AI Collective in the spring of 2024.

Artificial Intelligence, Awards, Data, Deshpande Center, Electrical Engineering & Computer Science (eecs), Graduate, honors and fellowships, Innovation and Entrepreneurship (I&E), Machine learning, Mechanical engineering, postdoctoral, Robotics, School of Engineering, Startups, Students, UncategorizedMarch 7, 202436Views0Likes0Comments
The MIT-Pillar AI Collective, a partnership between the Massachusetts Institute of Technology's (MIT) School of Engineering and Pillar VC, has named six fellows for the spring 2024 semester. Each fellow is a graduate student in their final year of a master's or PhD program who will conduct research in the fields of AI, machine learning,…

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Enhanced safety in the sky with autonomous helicopters.

Aeronautical and astronautical engineering, Aircraft, Alumni/ae, Artificial Intelligence, Autonomous vehicles, Graduate, Innovation and Entrepreneurship (I&E), postdoctoral, School of Engineering, Startups, Transportation, Uncategorized, Venture Mentoring ServiceMarch 7, 202438Views0Likes0Comments
In 2019, after years of studying aviation and aerospace engineering, Hector (Haofeng) Xu decided to learn how to fly helicopters. While pursuing his PhD in MIT’s Department of Aeronautics and Astronautics, Xu experienced the inherent risks of flying small aircrafts firsthand and was inspired to make helicopter flights safer. In 2021, he established his company…

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