MATRIX - The UTSA AI Consortium for Human Well-Being

Our Biennium Report chronicles a journey fueled by creativity, dedication, and expertise. 2023 marks a turning point. We’ve expanded capabilities, inspired bigger dreams, and achieved milestones.  -$24M secured, enabling three new Centers of Excellence. -Leading hub for neuro-inspired AI & neuromorphic computing research.  -Top-tier publications, workshop offerings, and partnerships. -Nation’s first MD/MS in AI program. -AI solutions for COVID-19. Join us in shaping a brighter future for San Antonio and beyond! #MATRIXAI #Innovation #wellbeing #UTSA 

Thrilled to share that MATRIX hosted the inaugural NSF ExpandAI Leadership Workshop (EXAIL) in Pittsburgh! Two days of collaboration with 100 national AI Leaders from the National Science Foundation (NSF) AI Institutes and ExpandAI Institutes - the future is looking bright 🌟 A special thank you to NSF program managers James Donlon for envisioning and supporting this workshop, Erion Plaku and Abby ILUMOKA for guiding us through the opportunities available through NSF AI Institutes and ExpandAI programs. We celebrate Dhireesha Kudithipudi, Panagiotis (Panos) Markopoulos, Ph.D., Vibhuti Gupta, Ph.D., Jules Henry, and AI Institutes Virtual Organization (AIVO) for their incredible efforts in making this event a reality, including our wonderful support team, Stacy Cantu Pawlik, Jayanta Dey, PhD, Van Tien Nguyen, and Haven Kotara. Read more: https://shorturl.at/gI7uU #NSF | #EXAIL | #AI | #UTSA

Come join MATRIX - The UTSA AI Consortium for Human Well-Being in beautiful & culturally rich San Antonio, Texas. With a dedicated team of over 85 researchers, we foster a collaborative environment where big and bold dreams can become a reality. In the past year alone, we have secured funding to lead multiple AI center level grants, with support from NSF, NIH, DOD, AFOSR/AFRL. Job Posting URL: https://lnkd.in/eaVAXhvt MATRIX Annual Report ’23: https://lnkd.in/gPJn536j UTSA strategic vision: https://lnkd.in/edmuAYXs Questions? Contact us at ai@utsa.edu #AI #ML #FacultyJobs #AcademicJobs

Science without walls! At the #DOE #neuromorphic computing for science workshop, thinking about the future of the field. Frances Chance Catherine Schuman Suma George Cardwell Qinru Qiu Gina Adam Hava Siegelmann Shruti R. Kulkarni Corinne Teeter, PhD Jennifer Hasler Maryam Parsa Grace Hwang Sara Achour Robinson Pino, Ph.D. Url: https://lnkd.in/gj5hu5Zj

Bonnie Petrie dives into the use of AI for undiagnosed medical conditions. https://lnkd.in/gpFqXhRj Exciting to talk with Bonnie @ an area where artificial intelligence and machine learning have great potential to augment human capabilities and improve medical decisions. Petrie Dish podcasts (https://lnkd.in/gy_FAZGU)

This past Friday, the ScooterLab hosted its flag-off event and initial deployment. The project is an NSF funded community research infrastructure initiative at UTSA led by MATRIX Core Member & former thrust lead, Dr. Murtuza Jadliwala, along with Dr. Greg Griffin, PhD, AICP & Dr. Sushil Prasad. Learn more about their work: https://lnkd.in/gGibuykf

The MATRIX AI Consortium will support the newly established DARPA-funded #microelectronics manufacturing center. Check out the story below! ⬇ #UTSAAI

Innovation thrives when the best and most diverse minds work together to solve the grand challenges. At MATRIX - The UTSA AI Consortium for Human Well-Being we foster this collaborative environment with a team of 87 research scientists. Learn what we achieved over the past year. https://lnkd.in/gPJn536j The brilliant team that helped in shaping the report: Jules Henry, Stacy Cantu Pawlik, and Tej Pandit MATRIX Thrust leads: Amina Qutub Fidel Santamaria Gabriela Ciocarlie Douglas Brooks, PhD, PMP Mark Goldberg Panagiotis (Panos) Markopoulos, Ph.D. Amanda Fernandez #utsa_ai

Interested in joining the MATRIX Team? Check out our AI Engineer opening! This position will work closely with an interdisciplinary team of biomedical engineers, neurologists, trauma surgeons, and #artificialintelligence researchers to develop #AI / #ML models that empower biomedical researchers and clinicians and improve clinical care.

Cortical computation in the brain only costs 0.1 W (of ATP) while it is learning continually- whereas  #AI or #ML struggles to match this. How can we harness this efficiency? An engineer's exploration on this topic at the #MIT Kresge auditorium last week. We shared how brain's plasticity inspires us to develop new continual learning algorithms and address catastrophic forgetting,  at the #CCN2024 Keynote and Tutorial session. Gido van de Ven gave an excellent hands-on tutorial on continual learning scenarios with replay and regularization with Nicholas Soures. Science without walls! Recording from live session(3rd keynote): https://lnkd.in/gVDNvEZW