Our collaborative research with Dell Med on Bio-Imaging featured in UT News
https://news.utexas.edu/2024/10/17/ai-in-the-gi/
This author has not written his bio yet.
But we are proud to say that Allen Farcas contributed 7 entries already.
https://news.utexas.edu/2024/10/17/ai-in-the-gi/
AI’s next challenge: how to forget https://www.politico.com/newsletters/digital-future-daily/2024/06/03/ai-machine-unlearning-forget-00161303
Congratulations to Dr. Guihong Li! “What starts here changes the world.”
We’re thrilled to announce the publication of our latest paper, “Zero-Shot Neural Architecture Search: Challenges, Solutions, and Opportunities,” in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). This work represents a significant step forward in the evolution of Neural Architecture Search (NAS). Highlights: Zero-Shot NAS: Our paper explores zero-shot NAS, which predicts neural network […]
Authors are invited to submit manuscripts to the special section on Emerging Edge AI for Human-in-the-Loop Cyber Physical Systems. Relevant topics of interest to this special section include (but are not limited to): Foundations of Human-in-the-Loop Cyber Physical Systems EdgeAI-Human-IoT Interactions Federated Learning for EdgeAI Context-Aware Applications and Services Cloud-edge Continuum Security and Privacy Prototypes, Field […]
Excited to announce our latest publication: “Teaching Edge AI at the Undergraduate Level: A Hardware–Software Co-Design Approach“, our unique course taught @UTAustin as the cover feature in the November special issue from IEEE Computer @ComputerSociety.
Prof. Radu Marculescu
System Level Design Group
Electrical and Computer Engineering
The University of Texas at Austin
radum@utexas.edu
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