Like MLOps is the application of the DevOps principles and practices to the special needs that arise from developing machine learning at scale, we would argue MLGUI is the rise.

Komal Jasani, a QA engineer at Meta, has pioneered the use of machine learning in VR testing, leading to faster bug detection ...

The usefulness of machine learning has mass potential, from real-time fraud detection to AI-powered investment strategies. Many of these innovations can entirely change how banks, investors and ...

Inferencing, in most applications, looks for quick answers that can be arrived at in milliseconds. Examples of inferencing include speech recognition, real-time language translation, machine vision, ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...

In an era where cyber threats are escalating in complexity and frequency, the integration of machine learning (ML) into ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

Novel applications were discussed related to autonomous systems, platform analytics and battle management aids. Specialized sessions were organized on topics including synthetic data for machine ...

On April 18, 2025, the Federal Circuit issued an opinion in Recentive Analytics, Inc. v. Fox Corp. addressing for the first time whether patents that claim no more than the application of generic ...