CNC machining has long been the foundation of precision manufacturing, but the pace of change heading into 2026 is unlike anything seen before.

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

The RansomHouse ransomware-as-a-service (RaaS) has recently upgraded its encryptor, switching from a relatively simple single-phase linear technique to a more complex, multi-layered method. In ...

WHAT IS THE EU DATA ACT ? The EU Data Act (Regulation (EU) 2023/2854), applicable from September 12, 2025, introduces a comprehensive legal framework aimed at enhancing data portability, ...

With the current state of the economy due to inflation, high-interest rates, potential AI disruptions, and a weakening labor market, it's quite refreshing to own dividend stocks. Particularly, ...

The space race is back – but unlike the battle between the political superpowers in the 60s, this one is between tech corporations looking to explore data processing potential above the clouds. Google ...

Microsoft will process M365 Copilot prompts and responses locally in 15 countries as part of its growing commitment to digital sovereignty. Microsoft will allow customers in 15 countries to process ...

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 ...

Automatic Data Processing, Inc., is set to report Q1 2026 earnings, with expectations of steady but modest growth and little deviation from forecasts. ADP's management rarely updates quarterly ...

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 ...