Why can't AI think its way to becoming a genius? Learn what Vishal Misra, Computer Science professor at Columbia University, has to say.

The Bloomberg Quant (BBQ) Seminar Series covers a wide range of topics in quantitative finance, chaired by Bruno Dupire, head of Quantitative Research at Bloomberg LP.

This paper elucidates, arguably for the first time, the existence of linear universal approximators of non-negative functions. “ Understanding the Expressivity and Trainability of Fourier Neural ...

Quantum neural networks combine the principles of neural networks and quantum computing, aiming to solve conventional computing problems with the special advantages of quantum computing. Although it ...

A new 20 Tesla Superconducting magnet reduces the cost per watt of a fusion reactor by a factor of almost 40. MIT worked with Commonwealth Fusion Systems, a startup with over $2 billion in funding.

We discuss the role of random basis function approximators in modeling and control. We analyze the published work on random basis function approximators and dem ...

This is meant to be a combination of well-known search algorithms (e.g. minimax, A*, etc.) with neural networks as approximators for the evaluation function (s).