We imagine algorithms as computational formulas with standard and stable rules. They are, but in relation to the processors that process them. If the processors, architectures and operation of ...

April 15 (UPI) --Scientists have developed a new algorithm that can predict how a protein could evolve to become highly effective or totally unproductive. The machine learning model -- detailed this ...

Dr. James McCaffrey of Microsoft Research explains stochastic gradient descent (SGD) neural network training, specifically implementing a bio-inspired optimization technique called differential ...

Imagine a very complex problem—supply chain optimization, for example—in which a computer generates millions of trial solutions completely at random and then ...

When the constraints are linear, a mean-variance optimization with a quadradic algorithm is typically performed to achieve such a result. In some cases, however, one or more constraints may be ...