In business, much to the data scientist’s pleasure, so much of optimization is in finding an even narrower local maximum or minimum. That’s a key reason why deep learning systems are of such ...

AI-assisted design methods now allow for automated optimization, drastically shortening development cycles while boosting ...

AI’s performance advantages are tightly linked to methodological rigor and technological integration. Data preprocessing ...

In recent years, the ML field has been dominated by what is called the backpropagation algorithm, or backprop, which, Çamsari said, “is basically driving everything right now, but in my lab, we use ...

Machine Learning: It is a subset of AI which contains statistical algorithms which enable machines to improve the tasks with experience. As opposed to deep learning, machine learning models need ...

The class of AI algorithms underlying these feats — deep-reinforcement learning — has demonstrated the ability to learn at very high levels in constrained domains, such as the ones offered by ...

Also fueling deep learning's growth was the availability of huge labeled data sets for which a learning algorithm can identify the correct answer—“cat,” for example, when inspecting an image ...

A team at Meta AI (previously Facebook AI Research) wants to change that. The researchers have developed a single algorithm that can be used to train a neural network to recognize images, text, or ...