Well, this is an interesting development: https://www.nobelprize.org/prizes/physics/2024/press-release/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nobelprize.org%2Fprizes%2Fphysics%2F2024%2Fpress-release%2F&data=05%7C02%7Cai%40engr.oregonstate.edu%7C2278699a3c044487c75208dce810294d%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638640403302387934%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=eSi9lV7Mw74V0KC1gS%2FiTJPw7b1tr9zIBOkBYwgVg2Y%3D&reserved=0> Certainly, Hopfield networks and Boltzmann machines are inspired by physics, but at the root, this Nobel prize is for training neural networks. Might be the first truly AI-based Nobel prize. So, keep coding out there, you never know where it may lead! Kagan