By 2030, it’s expected that the market for streaming data will eclipse $73 billion, growing nearly 20% each year until then. More impressively, the machine learning market—which brought in $15 ...

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

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

The tools for automating data pipelines are improving, and many leverage machine learning and artificial intelligence capabilities. AI and machine learning dataops techniques shift data operations ...

Meeting The Data Needs Of AI The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic ...

Before data scientists can run machine learning models to tease out insights, they’re first going to need to transform the data—reformatting it or perhaps correcting it—so it’s in a ...

5. Transportation and logistics optimization. Machine learning algorithms can be used to optimize transport routes and schedules. For instance, you can analyze real-time traffic data to determine the ...

Wikimedia says the dataset hosted by Kaggle has been “designed with machine learning workflows in mind,” making it easier for AI developers to access machine-readable article data for modeling ...