AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.
Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.
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Top AI models are failing hard at solving fresh math problems
Top artificial intelligence systems now ace many textbook-style math questions, yet they still fall apart on genuinely new ...
A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.
Security is one of the areas where quantum technology could have the most immediate impact. Quantum computers are inching ...
Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...
Artificial intelligence has attained an impressive series of feats—solving problems from the International Math Olympiad, ...
When a crowd gets something right, like guessing how many beans are in a jar, forecasting an election, or solving a difficult ...
Sudoku is more than just a pastime; it’s a mental workout that sharpens logic, patience, and problem-solving skills. From casual enthusiasts to competitive solvers, players are constantly seeking ways ...
A2Z/ ├── Problems/ # Solved problems organized by difficulty │ ├── Easy/ # Easy level problems │ ├── Medium/ # Medium level problems │ └── Hard/ # Hard level problems │ ├── DataStructures/ # Core data ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
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