The U.S. DOGE Service is building a massive, centralized database using all the personal information scooped up by tech billionaire Elon Musk's underlings.President Donald Trump's billionaire ...

The app claims it uses end-to-end encryption, but spilled its users' dating preferences and granular location data to the open web.

Batch data processing is too slow for real-time AI: How open-source Apache Airflow 3.0 solves the challenge with event-driven data orchestration ...

Struggling with messy data? See why Power Query is faster and easier than Python for cleaning and transforming data. Python vs Power Query ...

Optical Character Recognition Why extracting data from PDFs is still a nightmare for data experts Countless digital documents hold valuable info, and the AI industry is attempting to set it free.

Archetype AI's 'Newton' model learns physics from sensor data, promising breakthroughs in industrial applications and scientific discovery.

“Traditionally, data warehouses have been filled through extract-transform-load (ETL) processes: extracting raw data from sources, transforming it, and then storing it,” says Giovanni Lanzani ...

Broadcom Inc announced new highly-scalable, low-power 400G Ethernet adapters for data centers. This open, standards-based solution resolves connectivity bottlenecks for growing AI infrastructure.

AI networking and bulkier data center applications are sparking advancements in Ethernet-based communication technologies.

The latest Ethernet PHY and controller IP from Synopsys can crank out up to 1.6 Tb/s of bandwidth.

Normally, an AI Industry Analyst like myself would not take notice of a new version of Ethernet; its IP is fairly staid technology these days.