The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult computational problem. Many aspects of modern applied research ...

Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is optimization.

(NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring a shallow hybrid quantum-classical ...

Feature scaling is a crucial preprocessing step in machine learning, ensuring that different features contribute equally to the model's performance. By transforming data to a similar scale, we prevent ...

Stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates in applications involving large-scale data or streaming data. As an alternative version, averaged implicit SGD ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

Optimization problems can be tricky, but they make the world work better. These kinds of questions, which strive for the best way of doing something, are absolutely everywhere. Your phone’s GPS ...