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  2. Google DeepMind AI software makes a breakthrough in solving ...

    www.aol.com/finance/google-deepmind-ai-software...

    Scientists at Google DeepMind, Alphabet's advanced AI research division, have created artificial intelligence software able to solve difficult geometry proofs used to test high school students in ...

  3. Constraint satisfaction problem - Wikipedia

    en.wikipedia.org/.../Constraint_satisfaction_problem

    An evaluation is a solution if it is consistent and complete; such an evaluation is said to solve the constraint satisfaction problem. Solution. Constraint satisfaction problems on finite domains are typically solved using a form of search. The most used techniques are variants of backtracking, constraint propagation, and local search.

  4. History of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/History_of_artificial...

    AI researchers began to develop and use sophisticated mathematical tools more than they ever had in the past. There was a widespread realization that many of the problems that AI needed to solve were already being worked on by researchers in fields like mathematics, electrical engineering, economics or operations research. The shared ...

  5. Millennium Prize Problems - Wikipedia

    en.wikipedia.org/wiki/Millennium_Prize_Problems

    e. The Millennium Prize Problems are seven well-known complex mathematical problems selected by the Clay Mathematics Institute in 2000. The Clay Institute has pledged a US$ 1 million prize for the first correct solution to each problem. The Clay Mathematics Institute officially designated the title Millennium Problem for the seven unsolved ...

  6. Mathematics of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Mathematics_of_artificial...

    Mathematics of artificial neural networks. An artificial neural network (ANN) combines biological principles with advanced statistics to solve problems in domains such as pattern recognition and game-play. ANNs adopt the basic model of neuron analogues connected to each other in a variety of ways.

  7. Stephen Wolfram on the Powerful Unpredictability of AI

    www.aol.com/news/stephen-wolfram-powerful...

    AI, as currently conceived, typically means neural networks that have been trained from data about what humans do. Then the idea is, take those training examples and extrapolate from those in a ...

  8. P versus NP problem - Wikipedia

    en.wikipedia.org/wiki/P_versus_NP_problem

    The P versus NP problem is a major unsolved problem in theoretical computer science. Informally, it asks whether every problem whose solution can be quickly verified can also be quickly solved. Here, quickly means an algorithm that solves the task and runs in polynomial time exists, meaning the task completion time varies as a polynomial ...

  9. Photomath - Wikipedia

    en.wikipedia.org/wiki/Photomath

    Photomath is an amazing site for kids. Photomath is an educational technology mobile app, owned by Google. It features a computer algebra system with an augmented optical character recognition system, designed for use with a smartphone's camera to scan and recognize mathematical equations; the app then displays step-by-step explanations onscreen.