AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Explore how core mathematical concepts like linear algebra, probability, and optimization drive AI, revealing its pattern-recognition capabilities.

The data science landscape is not merely evolving; it is undergoing a profound transformation. The graduate of 2021, equipped ...

Q4 2025 Earnings Call February 24, 2026 5:00 PM ESTCompany ParticipantsChristie Masoner - Vice President & Head of ...

On 23 Feb 2026, IBM shares dropped 13%, losing nearly $30B, after Anthropic's Claude AI promised faster COBOL modernization, ...

India’s space launch systems must be formally classified and protected as Cyber-Physical Critical Infrastructure (CPCI) under a Classified Consequence-Driven Cyber-Informed Engineering (C-CIE) ...

Looming behind Regenstein Library is a bronze, mushroom cloud–shaped sculpture—Henry Moore’s Nuclear Energy. Installed in 1967, it now seems like an inconspicuous part of the campus landscape. In ...

Google’s first-stage retrieval still runs on word matching, not AI magic. Here’s how to use content scoring tools accordingly ...

Know how AI-agents in the grid optimize peer-to-peer pricing. Learn how automated trading bots within the energy stack ...

Traumatic experiences can have ripple effects that permeate across many aspects of people's lives. For students, adverse ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

The irony here is kind of amusing, if only because not that long ago (okay, well, maybe 26 years is a long time) I remember that Wikipedia was banned from being used as reference source material for ...