In the past several years, researchers have exploited the pattern-finding power of machine learning to create new frameworks ...

The world-famous mathematician Alan Turing found a possible mechanism for iconic animal patterns thanks to differential ...

The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

Abstract: A nonlinear eigenvalue problem is solved analytically to obtain the shock-like traveling waves of Fisher's nonlinear diffusion equation, with which he described the wave of advance of ...

University of New South Wales Honorary Professor Norman Wildberger has unveiled a potentially game-changing mathematical theory.

The new proof broadly consists of three steps: derive the macroscopic theory from the mesoscopic one; derive the mesoscopic ...

From microscopic robots that can carry and deliver drugs inside the human body to tiny particles that can detect and break ...

You'll need to be a modern-day Einstein to crack this devilish equation. If you fancy yourself as the family genius, always ace the Countdown maths challenge and can divvy up the bill without ...

From microscopic robots that can carry and deliver drugs inside the human body to tiny particles that can detect and break ...

One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...