Stony Brook Scientists Use AI to Help Avoid Train Accidents
Stony Brook collaborates to help solve the long-standing problem of finding damaged switches on rail tracks in real time. Their model outperforms existing methods, achieving results with over 91% accuracy.
Stony Brook, NY, Nov 15, 2024 - A recent survey by the International Union of Railway noted how high-speed railway networks are expanding rapidly, and the length of the worldwide high-speed railway network has reached nearly 59,000 km.
New York Times Connections Game Defeats the Best AI Models, Find Stony Brook Researchers
Stony Brook University and Columbia researchers discover that the New York Times word game Connections can serve as a challenging benchmark for training Large Language Models in abstract reasoning.
Stony Brook, NY, Nov 1, 2024 - While AI and machine learning regularly beat the world’s greatest chess players, a recent study found that when it comes to the New York Times Connections, even the best-performing Large Learning Model (LLM), Claude 3.5 Sonnect, can fully solve only 18% of the games.
Stony Brook AI Researchers to Showcase Breakthroughs at EMNLP 2024
From using the New York Times Connections word game to decoding the basics of language and cognition, AI researchers from Stony Brook University present their out-of-the-box approaches at this year's EMNLP conference on how we can improve machines’ understanding of human language.