Navy tracking efficiency gains as part of AI training efforts

CIO Warren Lenard describes how Indiana has made Microsoft Copilot available for any state employee who wants it, and a key part of the program is training. That training also extends to cabinet-level secretaries.

A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.

WIRED spoke with Bloomberg's chief technology officer about the big, chatbot-style changes coming to the iconic platform for traders.

Google's new generation of Tensor AI chips is actually two chips, one for inference and one for training.

AI-assisted writing is creeping into newsrooms under the guise of efficiency. But the tradeoff may be more profound than publishers are willing to admit.

AI is the mission-critical tool that can drive new levels of efficiency, enabling agencies to do more with fewer workers yet still deliver for Americans.

Training a modern large language model (LLM) is not a single step but a carefully orchestrated pipeline that transforms raw data into a reliable, aligned, and deployable intelligent system. At its core lies pretraining, the foundational phase where models learn general language patterns, reasoning structures, and world knowledge from massive text corpora. This is followed […] The post A Technical Deep Dive into the Essential Stages of Modern Large Language Model Training, Alignment, and Deployment appeared first on MarkTechPost.

In crowded environments, more robots don’t always mean faster results—in fact, too many can bring everything to a standstill. Harvard researchers discovered a surprising fix: adding a bit of randomness to how robots move can actually prevent gridlock and boost efficiency. By allowing robots to “wiggle” slightly instead of marching in straight lines, they can slip past each other and keep tasks flowing smoothly.