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As the role of AI has expanded dramatically, the ability to understand biological brains can play a vital role in building intelligent machines. Advances in efficient computing hardware and systems, inspired by insights from neuroscience, will be instrumental in expanding the capabilities of AI to a wide range of applications, said Dhireesha Kudithipudi, McDermott Endowed Chair in the Department of Electrical and Computer Engineering at UTSA, founding director of the MATRIX AI Consortium and the on-site organizer for NICE.

UTSA is honored to host the 10thannual NICE Conference Series, bringing researchers from various disciplines across the globe together to facilitate and inspire conversations that will advance the scientific excellence in AI," said UTSA President Taylor Eighmy. Our knowledge enterprise, and specifically, UTSA's Matrix AI Consortium, are continuously seeking opportunities to collaborate across sectors and look forward to the discoveries that stem from this conference.

Keynote speakers at the San Antonio NICE conference will include:

Leading researchers from Heidelberg University, IBM and the National Institute of Standards and Technology (NIST) are also scheduled to speak at the event. For more information on the topics, click here.

The goal of NICE is to look to the brain for inspiration for making future computers both more powerful as well as more energy efficient, said Brad Aimone, a distinguished member of technical staff in the Center for Computing Research at the Sandia National Laboratories and one of the lead organizers for NICE. This will help us make exciting technologies such as artificial intelligence both cheaper in terms of power and climate costs as well as more manageable and secure, which will allow all of us to benefit in the long run.

The conference is sponsored and hosted by Intel, the UTSA VP for Research, Economic Development, and Knowledge Enterprise (REDKE) and the MATRIX: AI Consortium for Human Well-Being at UTSA.

Originally posted here:

UTSA hosts Neuromorphic Computing conference, focused on ... - UTSA