If your “microservices” still deploy like a monolith, maybe it’s time to break free with a truly composable AWS architecture.

Abstract: The distributed identification of network systems under local observation has recently become one of the research hot spots. Due to the unobservable influence of other subsystems and the ...

A second major Texas university system is restricting how faculty teach — and students learn — about race and gender in campus lecture halls. The Texas Tech University System banned courses that ...

Abstract: This paper investigates anticipatory decision for unknown distributed systems with robustness concerns. Anticipatory decision focuses on action selection before observations appear at ...

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 ...

As conservative Texas politicians identify and target faculty who teach about gender identity, officials at six Texas public university systems have ordered reviews of curriculum, syllabi and course ...

The Texas A&M University System Board of Regents ordered an audit Tuesday of courses at all 12 schools in the system as institutional leaders face conservative backlash over a professor’s teaching of ...

It’s the best way to anticipate the many secondary effects of change in an interconnected world. by Tima Bansal and Julian Birkinshaw Business has made huge strides in advancing economic and social ...

Section 1. Purpose and Policy. America has long led the world in innovation, technological advancement, and design. But with a sprawling ecosystem of digital services offered to Americans, the ...

Radar is a cost-effective and dependable automotive sensor solution, even in challenging conditions such as fog, darkness, and rain. How size and cost are significant constraints on radar resolution ...

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.