Tiktok users worldwide grapple with the platform's updated terms of service that highlight extensive data collection practices, including immigration status and ...

President Donald Trump on Thursday signed an executive order that blocks states from enforcing their own regulations around artificial intelligence and instead aims to create a “single national ...

A new University of California San Diego School of Medicine study offers a unified biological model to explain how genetic predispositions and environmental exposures converge to cause autism spectrum ...

While no one has figured out how to make money from generative artificial intelligence, that hasn’t stopped Google DeepMind from pushing the boundaries of what’s possible with a big pile of inference.

Have you ever been overwhelmed by messy spreadsheets or struggled to collect data in an organized way? Imagine a scenario where instead of juggling multiple tabs and rows, you could guide users ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

A team of more than two dozen AI researchers from MIT, Cornell University, the University of Toronto, and other institutions have trained a large language model only using data that was openly ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

New generative AI (genAI) models introduced this week by Google and OpenAI have put the companies’ data centers under stress — and both companies are trying to catch up to demand. OpenAI’s CEO Sam ...

In this tutorial, we demonstrate the integration of Python’s robust data manipulation library Pandas with Google Cloud’s advanced generative capabilities through the google.generativeai package and ...

Machine learning, particularly the training of large foundation models, relies heavily on the diversity and quality of data. These models, pre-trained on vast datasets, are the foundation of many ...