These are not “nice-to-haves”; they are prerequisites for distributed cognition, operating at machine speed. As Tatipamula and Cerf point out, the network can no longer simply host intelligence. It ...

TRAI released the findings of its Drive Test for Baddi city in Himachal Pradesh, assessing mobile network performance during ...

Solana withstood a historic 6 Tbps DDoS attack without downtime, demonstrating resilience comparable to Tier-1 internet infrastructure. Layered defenses, QUIC, stake-weighted QoS, and local fee ...

Developers are looking to build an 859-acre data center campus near Walterboro, about 45 minutes north of downtown Beaufort, according to a public notice from Colleton County. The proposed site would ...

Artificial intelligence (AI) is changing the world as we know it by transforming industries, enhancing daily life and reshaping societal structures. For evidence of this transformation, we need look ...

Compute costs are definitely massive, but not everything. In fact, far from that, consisting of 39% of the total setup costs from the illustration above. On the contrary, the other pillars in the AI ...

This past Friday, labor economist Guy Berger got to sleep in for the second month in a row. He wasn’t happy about it. The government shutdown meant there was no jobs report from the Bureau of Labor ...

Seventeen healthcare organizations using Epic’s software are now connected to a federally backed health information network. The organizations began participating in the Trusted Exchange Framework and ...

The network is central to the availability, integrity, and performance of nearly every business service. Choices about topology, protocols, technology solutions, security models, and operational ...

Looking ahead: OpenAI is pushing ahead with some of the largest infrastructure projects ever attempted in the technology industry, unveiling plans for a trillion-dollar network of data centers ...

Abstract: Recent advances in network traffic analysis use machine learning (ML) on packet-level data, but obtaining large amount of real data for training ML is becoming a challenge. ML-based ...