GitHub

Multi-Task Deep Neural Networks for Natural Language Understanding

MT-DNN, an open-source natural language understanding (NLU) toolkit that makes it easy for researchers and developers to train customized deep learning models. Built upon PyTorch and Transformers, ...

Small Language Models Outperform Frontier AI On Cost, Speed And Accuracy

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.
Tech Times

Embodied AI World Models Attracted $6 Billion, But the LLM Parallel May Not Hold

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

Cross-City Zero-Shot Transfer Learning for Next Location Prediction With Knowledge Aggregation and Selection Framework

Abstract: Cross-city zero-shot transfer learning for next location prediction aims to build a model that can be transferred to unseen users and cities without fine-tuning. It is crucial for the cities ...
The Motley Fool

What Are Large Language Models (LLMs)?

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 ...
Nature

Task offloading decision making for IoV based on deep reinforcement learning

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 ...
GitHub

Foundation Model-Driven HD Mapping with Multi-Task Contextual Learning

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 ...
IEEE

Action Contextualization: Adaptive Task Planning and Action Tuning Using Large Language Models

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

What is AI? Everything to know about artificial intelligence

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 ...
The Financial Times

The FT AI glossary

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 ...
Edutopia

An Inside Look at Webb’s Depth of Knowledge

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 ...
New Statesman

“How the World Declared War on America”

The OED’s task – to define every English word – is as ambitious as it was 150 years ago. By Pippa Bailey The team at the Oxford English Dictionary felt some nervousness about writing the definition ...