Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

We talk to Pure Storage’s vice-president of AI infrastructure about data quality for artificial intelligence and the need for data engineering to ensure the integrity, completeness and appropriateness ...

Andy Konwinski is pledging $100 million of his own money for a new kind of institute to fund researchers. It's already backed ...

Bigger than New York’s Central Park, the estimated $60 billion project, which has its own natural gas plant, will be one of ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

The DPA Cyber Skills today for Economic Growth Tomorrow meeting discussed how employers seek changing skills to help them succeed against evolving cyber security challenges.

Life sciences commercial teams are drowning in data complexity. | ciATHENA eliminates the traditional barriers between ...

Among the most visible quality-of-life improvements is the integration of the new GNOME VPN IP extension, which allows direct ...

The current exponential advancements in the Internet of Things (IoT) technologies pave a vast intelligent computing platform by integrating smart objects with sensing, processing and communication ...

Introduction to machine learning with Python : a guide for data scientists by Muller, Andreas C., author. Publication date 2016 Topics Python (Computer program language), Programming languages ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI.