Machine learning is often key to success for today’s institutions that rely heavily on data. But often, data science teams can have a difficult time convincing their organizations of the breadth and ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Alegion is in the business of preparing machine learning training datasets for Fortune 1000 organizations. When the team at Alegion first meets with a prospective client, it's pretty predictable. Most ...

Purpose: Is used to train the machine learning model. Function: Think of it as the study material for the model. It provides examples and patterns for the model to learn from and build its internal ...

Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand ...

Artificial Intelligence (AI) and machine-learning experts are warning against the risk of data-poisoning attacks that can work against the large-scale datasets commonly used to train the deep-learning ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new machine learning model developed at the University of Michigan.

LAWRENCE, Kan.--(BUSINESS WIRE)--Cobalt Iron Inc. today announced that it has received another new patent, this time for machine learning-driven cyber inspection. Issued on Sept. 19, U.S. Patent ...