A machine-learning algorithm demonstrated the capability to process data that exceeds a computer's available memory by identifying a massive data set's key features and dividing them into manageable ...

IDC predicts that worldwide data will exceed 175 zettabytes by 2025, from 45 zettabytes in 2019. That’s a lot of data! Business data makes up a significant portion of it. But unfortunately, 80% of all ...

Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety. Devops teams aim to increase deployment frequency, reduce the number of ...

When people hear “artificial intelligence,” many envision “big data.” There’s a reason for that: some of the most prominent AI breakthroughs in the past decade have relied on enormous data sets. Image ...

To demonstrate the new machine learning capabilities in its Azure cloud, Microsoft has set up a website that guesses the ages of people in uploaded photos. The site, How Old Do I Look, is meant to ...

Businesses looking to bring the rewards of big data analysis to everyday users need ways to prepare and organize data and develop machine learning models for analyzing it. Here’s a look at 10 hot ...

Machine learning has a wide range of applications in the finance, healthcare, marketing and transportation industries. It is used to analyze and process large amounts of data, make predictions, and ...

For predicting relapse in 1,387 patients with early-stage (I-II) NSCLC from the Spanish Lung Cancer Group data (average age 65.7 years, female 24.8%, male 75.2%), we train tabular and graph machine ...

A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...