Automatic Data Processing received authorization from its board to buy back $6 billion worth of stock. The new share repurchase authorization replaces in its entirety ADP's 2022 authorization for $5 ...

AI is transforming industries, fueling innovation, and addressing some of society’s most urgent challenges. From humanoid robotics to drought management, AI’s promise can feel boundless. Yet as demand ...

As artificial intelligence drives the need for vastly more computing storage and processing power, interest in space-based data centers has spiked. Although several startup companies, such as ...

Federal Reserve officials, who are unable to receive U.S. economic statistics because of the continuing government shutdown, recently lost access to a separate measure of employment data from a ...

Dubai, UAE – October 14, 2025 – Microsoft today announced a strategic investment to enable local data processing for Microsoft 365 Copilot in the United Arab Emirates, exclusively for qualified UAE ...

Abstract: The Universal Asynchronous Receiver Transmitter (UART) is a widely employed serial communication protocol utilized for the transmission of data among a computer and its peripherals. It is ...

Infineon Technologies AG claims the industry’s first trans-inductance voltage regulator (TLVR) module with the launch of its OptiMOS TDM22545T dual-phase power module, addressing the continued need to ...

The new module is designed to help banks route payments faster, cheaper, and smarter across multiple rails. Finastra, a global leader in financial services software, announced its new Intelligent ...

Nvidia will invest up to $100 billion in OpenAI as the artificial intelligence lab sets out to build hundreds of billions of dollars in data centers. Nvidia CEO Jensen Huang told CNBC that the 10 ...

A rezoning proposal for a 1,000-acre data center in Howell Township is under consideration. The project, backed by an unnamed Fortune 100 company, promises significant tax revenue and job creation.

What if your workflows could process tens of thousands of files in parallel, never missing a beat? For many, scaling n8n workflows to handle such massive workloads ...