The MIT-Pillar AI Collective has announced three inaugural fellows for the autumn 2023 semester. With the support of this system, doctoral students who’re in the ultimate yr of a master’s or PhD program will conduct research within the areas of artificial intelligence, machine learning and data science with the aim of commercializing their innovations.

Launched in 2022 by MIT’s School of Engineering and Pillar VC, the MIT-Pillar AI Collective supports faculty, postdocs, and students conducting research in AI, machine learning, and data science. Supported by a present from Column VC and managed by the MIT Deshpande Center for Technological InnovationThe mission of this system is to advance research toward commercialization.

The MIT-Pillar AI Collective Fellows for Fall 2023 are:

Alexander Andonian SM ’21 is a PhD student in electrical engineering and computer science whose research interests include computer vision, deep learning and artificial intelligence. In particular, he is concentrated on constructing a generalist, multimodal AI scientist powered by generative vision-language model agents able to forming scientific hypotheses, conducting computational experiments, evaluating supporting evidence, and drawing conclusions in the identical manner as a human Researcher or reviewer to review. Such an agent might be trained to optimally distill and communicate its insights for human consumption and understanding. Andonian’s work guarantees to create a concrete basis for the consistent construction and holistic testing of the subsequent generation of autonomous AI agents for science. In addition to his research, Andonian is CEO and co-founder of Reelize, a startup offering a generative AI video tool that effortlessly converts long videos into short clips – which grew out of his business courses and was supported by MIT Sandbox. Andonian can be a founding AI researcher at Poly AI, a YC-backed startup that develops AI design tools. Andonian earned an SM from MIT and a BS in neuroscience, physics and arithmetic from Bates College.

Daniel Magley is a graduate student within the Harvard-MIT Health Sciences and Technology Program who’s obsessed with making healthy, fully functioning minds and bodies a reality for all. His cutting-edge research focuses on developing an ingestible wireless thermal imaging capsule that might be utilized in the treatment and monitoring of inflammatory bowel disease and its manifestations, akin to Crohn’s disease. The capsule provides greater sensitivity and eliminates the necessity for bowel preparation. It has the potential to significantly improve treatment effectiveness and the general patient experience during routine monitoring. The capsule has accomplished animal testing and is now entering human studies at Mass General Brigham, where Magley leads a team of engineers within the hospital’s largest translational research laboratory, the Tearney Lab. After the human pilot studies, the best technological and regulatory risks are released for implementation. Magley will then deal with a multi-site study to bring the device into clinics, with the promise that it should profit patients across the country. Magley earned a bachelor’s degree in electrical engineering from Caltech.

Madhumitha Ravichandra is a graduate student excited by advancing heat transfer and surface engineering techniques to enhance the protection and performance of nuclear energy systems and reduce their environmental impact. Leveraging her extensive knowledge of integrating explainable AI with high-throughput autonomous experiments, she seeks to rework the event of radiation-hardened sensors that might potentially withstand and performance at radiation levels that will render traditional sensors unusable. By integrating explainable AI with high-throughput autonomous experiments, she goals to quickly iterate on designs, test them under different conditions, and be sure that the ultimate product is each robust and transparent in its operations. Their work on this area could shift the paradigm in radiation-hard sensor development, filling a glaring gap out there and redefining standards to make sure nuclear and space applications are safer, more efficient and on the leading edge of technological advances. Ravichandran earned a BTech in Mechanical Engineering from SASTRA University, India.

This article was originally published at news.mit.edu