Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — and save money.

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

LLMs are AI trained to generate text, crucial for various applications like chatbots. Training involves analyzing vast text data to learn language patterns and context. Concerns exist over copyright ...

With the popularization and development of in-vehicle applications, the limitations of computing resources, storage resources, and energy on vehicles have become increasingly prominent. To meet the ...

Abstract: Natural Language Processing (NLP) aims to analyze text or speech via techniques in the computer science field. It serves applications in the domains of healthcare, commerce, education, and ...

Cataract-LMM is an enterprise-grade AI framework designed for large-scale, multi-center surgical video analysis. Built on modern software engineering principles, this repository provides ...

In autonomous driving, high-definition (HD) maps and semantic maps in bird's-eye view (BEV) are essential for accurate localization, planning, and decision-making. This paper introduces an enhanced ...

Culture, education, science, and information are essential needs in times of turbulence and crisis. They are powerful drivers of social cohesion, resilience, and hope in a better future. UNESCO plays ...

Abstract: Large Language Models (LLMs) present a promising frontier in robotic task planning by leveraging extensive human knowledge. Nevertheless, the current ...

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...

Simply sign up to the Artificial intelligence myFT Digest -- delivered directly to your inbox. Algorithm: A sequence of rules that a computer follows to complete a task — it takes an input, for ...

The creator of the well-known framework explains how it helps teachers evaluate the cognitive complexity of a task or assignment—and clears up some misconceptions about it. DOK provides a common ...