How AI hiring is building a new glass ceiling The future-of-work story we were sold was simple: AI will replace humans. What is actually happening is more complicated, and for women, potentially more ...

HAICANG DISTRICT, XIAMEN, FUJIAN, CHINA, January 21, 2026 /EINPresswire.com/ -- In a fast-changing global market for ...

Follow-up observations with the Five-hundred-meter Aperture Spherical Telescope (FAST) and new data from Parkes and the Green ...

A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.

A "crowdsourced" project in which home computer users were enlisted to help analyze radio signals from space is ending after ...

Neel Somani, a researcher and technologist from the University of California, Berkeley, has seen firsthand how big traffic spikes can trip up even top tech companies. They use distributed systems, ...

Abstract: Fault-tolerant distributed algorithms contribute to the reliability and resilience of modern computation due to their fault-tolerant properties. Moreover, the increasing need for computing ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

Algorithms, which are just sets of instructions expressed in code, are harder to restrict than physical goods. But governments, including the U.S., have long tried to prevent their export. Export ...

The University of California system is challenging U.S. President Donald Trump’s administration with a new campaign aimed at defending federal funding for scientific research. In a Wednesday news ...

The recent emergence of DeepSeek’s remarkably cost-efficient large language models has sent shockwaves through the AI industry, not just for what it achieved, but for how efficiently it achieved it.