The past five years have seen a lot of progress in the use of artificial intelligence (AI) in theoretical investigations in pure mathematics and theoretical physics. This domain is markedly different ...

In recent decades, K-12 math education has evolved significantly, shifting from rote memorization to fostering conceptual understanding and problem-solving skills. Achievement First (AF), a network of ...

Google’s DeepMind has been using applied reinforced learning techniques to the multiplication of mathematical matrices and can do it better than some 50 year-old human-made algorithms. Bored with ...

Machine learning research is progressing at an ever-faster pace. We are likely still decades away from reaching the singularity, but AI has already become the buzzword that every tech company is ...

A research team at Berkeley has introduced an innovative artificial intelligence model, DeepScaler, that challenges traditional assumptions about AI performance. With a modest size of just 1.5 billion ...

Fierce wars continue to rage around math instruction, but there are many practical changes we should make for mathematics students upon which most of us can probably agree, that could transform their ...

Deep reinforcement learning methods have been shown to be potentially powerful tools for de novo design. Recurrent-neural-network-based techniques are the most widely used methods in this space. In ...

One of the joys of being an educator is embracing all the differences every student brings to the classroom, while teaching them to celebrate those unique traits in themselves and each other. Yet, ...