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Artificial Intelligence

On AI for the Rest of Us: The Algorithm Will See You Now

12/03/2024 - Through all the claims of how AI can help us become healthier, which ones are true and which ones are false? Marc Airhart talks to associate rhetoric professor Scott Graham about the myths of AI and healthcare and potential pitfalls to bringing AI into the field of healthcare.

On AI for the Rest of Us: Is it Time to Regulate AI?

A statue of a blindfolded woman in a toga holding a scale in one hand and a sword in the other, representing the legal system

12/03/2024 - With AI now being easily accessible to the public, should AI be regulated? If so, how? Marc Airhart sits down with lawyer and UT Law lecturer Matthew Murrell to talk about the risks unregulated AI pose, ChatGPT training data, and if regulation could stifle innovation and competition. 

On AI for the Rest of Us: Is AI Coming for Our News?

A human silhouette made up of the text in a newspaper article shakes hands with a robot silhouette also made up of newspaper text

12/03/2024 - Marc Airhart sits down with journalism professor Robert Quigley to talk all about AI and journalism. They talk about AI-generated news, misinformation, and how can AI play a role in the news industry.

On AI for the Rest of Us: AI + Energy

Three speakers at a panel discussion

12/03/2024 - While AI uses mass amounts of energy, it can also make energy systems more sustainable, efficient and safer. In front of a live audience, three experts in the field talk about AI and energy, as a part of a symposium hosted by the LBJ School of Public Affairs at The University of Texas at Austin.

One Year After Chat GPT-4, Risto Miikkulainen Reflects on What to Know about Generative AI

Risto Miikkulainen standing in front of a UT building in a blue polo style shirt with arms crossed.

11/25/2024 - Risto Miikkulainen, a renowned professor at UT Austin and the VP of AI Research at Cognizant Advanced AI Labs, recently shared fascinating insights in an article for AI Magazine about the game-changing potential of generative AI for machine learning researchers. He highlighted how this shift in technology is set to revolutionize not just research, but the entire landscape of work itself, urging everyone to embrace a tool that mimics the expertise of seasoned human professionals.

‘To do things they hadn't even thought of’: Senior Turing Scholar publishes second computer science research paper

Turing student Alan Baade pictured in gray and white against geometic print on white background and orange soundwaves running behind Alan's head.

10/01/2024 - Computer Science and Mathematics senior Alan Baade really enjoys spending hours on problems.Especially the particularly hard ones, he said. Spending 40 hours on one equation with a small break for sleep somewhere in the middle is rewarding to him.“I think it's because you can tell at the end of this you are going to understand the material,” Baade said.  “You're going to understand computers.”

Turbocharging Protein Engineering with AI

Three people stand silhouetted  in front of a wall-sized video display that shows several large colorful illustrations of molecules

09/26/2024 - Biotech advances from UT’s new Deep Proteins group are changing the game with help from artificial intelligence.Working as a chemist in Houston, Danny Diaz spent a lot of time plodding his way through crosstown traffic, pondering how to speed up his research.“I realized that my impact in the short term would be limited to the amount of chemistry experiments I could do with my hands,” he recalled.

Keeping Up with AI’s Increasingly Complex Networking Demands

Daehyeok Kim, Aditya Akella, and Venkat Arun against an abstract background of shapes.

09/24/2024 - The job of building computer networks that train and run large AI models is becoming increasingly complicated because traditional network designs can’t operate at the higher speeds that the AI workloads require and need to be tuned to a variety of communication endpoints (such as CPUs, graphics processing units and AI accelerators) that have widely different characteristics, including data generation speeds. Moreover, AI workloads require advanced network monitoring capabilities to quickly diagnose and resolve performance bottlenecks.

Podcast: Is it Time to Regulate AI?

A statue of a blindfolded woman in a toga holding a scale in one hand and a sword in the other, representing the legal system

09/12/2024 - Artificial intelligence is very loosely regulated in the U.S. What kinds of laws would help make AI safer and more useful for everyone?