This digital divide is real and troubling. Recognising this gap, philanthropists and corporate donors have stepped in with a ...
LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test ...
AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.
Frustrated by the AI industry’s claims of proving math results without offering transparency, a team of leading academics has ...
Artificial intelligence has attained an impressive series of feats—solving problems from the International Math Olympiad, ...
Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension ...
Abstract: Mixed Integer Linear Programs (MILPs) are powerful tools for modeling and solving combinatorial optimization problems. Solving an MILP is NP-hard due to the integrality requirement, and the ...
Four simple strategies—beginning with an image, previewing vocabulary, omitting the numbers, and offering number sets—can have a big impact on learning.
Abstract: The utilization of neural network models for solving combinatorial optimization problems (COPs) has gained significant attention in recent years and has demonstrated encouraging outcomes in ...
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