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In this issue: Clean energy and AI, Nobel Prize winners, quantum AI, and AI community

AI seems to be popping up more and more in the news, although maybe that’s a function of my algorithm. AI continues to make waves in political messaging on social media as the election season continues, and new functions of existing AI programs are being reported on regularly. Here’s a round up of recent goings on.

NVIDIA announces AI tech community in Pittsburgh, PA

NVIDIA has created its inaugural AI Tech Community in Pittsburg, Pennsylvania. According to the company’s blog post, this is a collaboration with Carnegie Mellon University and the University of Pittsburgh, among many others. The aim of this community partnership is to “accelerate the innovation, commercialization and operationalization…for physical AI, robotics, autonomous systems and AI.” NVIDIA’s stock has reportedly been rising tremendously, with projections to rise due to its Blackwell chip.

The geopolitics of AI and clean energy

MIT Technology Review reported on the relationship between AI technology, its power demands, and what the future will mean for scaling up of clean energy. This piece stated that AI data centers “could add the equivalent of three New York Cities’ worth of load to the grid by 2026,” and there is nice explanation of how much electricity goes into our AI usage. In order to provide reliable power for this growing field, the industry is looking to scaling up alternatives to fossil fuels. The author posited that “the socioeconomic fruits of innovation will flow to the countries that win both the AI and the climate race.”

What is quantum AI?

If you’re not already overstimulated by the current ever-changing AI landscape, look to the future of computing with quantum AI. Forbes offers a good explanatory piece with video about what this technology is and how we are headed there.

Nobel Prize in Physics goes to AI “godfathers”

NBC News reported that the Nobel Prize was awarded to the “godfathers of AI.” It is reported that Drs. John Hopfield, 91, and Geoffrey Hinton, 76, received the award this week. The two created the foundations of machine learning in the 1980s. Hopfield is an emeritus professor at Princeton, and Hinton a professor at the University of Toronto.

Dr. Hinton will be hosting a free two-part lecture, and you may view details here.

The Atlantic offers a nice piece of commentary on this win, and what it means for the field.

SLAAIT member meeting today at 2pm CDT

See your email invite from Kim. This meeting will allow you to provide feedback and inform participants about planning of Phase 3. You may view the agenda here.