A new benchmark pitting AI against previously unseen maths problems shows systems still fall short of top human expertise.
New research suggests the fuzzy insects may be capable of spontaneously solving problems the way animals with much larger ...
Bumblebees appear to be capable of coming up with creative solutions to new problems to get a sugary reward—and their ...
Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...
Physicist Richard Feynman turned a lunch dilemma into a math problem. Researchers finally cracked his notes and found people ...
New and improved: Computer-using agents, a new workflows experience, and real-time voice experiences
Expectations for agents are changing quickly. Teams want to move beyond conversational experiences to systems that can help get work done by interacting with applications, executing workflows, ...
By: Ahmed Awadallah, Sahil Gupta, Yash Lara, Yadong Lu, Hussein Mozannar, Akshay Nambi, Zach Nussbaum, Yash Pandya, Aravind Rajeswaran, Corby Rosset, Alexey Taymanov, Luiz do Valle, Vibhav Vineet, ...
For nearly 80 years, mathematicians believed they understood the limits of a famous geometry puzzle first posed by legendary Hungarian mathematician Paul Erdős. Now, an AI model developed by OpenAI ...
This article is part of a package on the future of quantum computing. Read about the quest to develop these machines here and see an illustrated field guide to qubits here. The 21st-century fervor ...
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