Artificial intelligence (AI) systems are now widely used by millions of people worldwide, as tools to source information or ...

They really don't cost as much as you think to run.

In practice, the choice between small modular models and guardrail LLMs quickly becomes an operating model decision.

Users running a quantized 7B model on a laptop expect 40+ tokens per second. A 30B MoE model on a high-end mobile device ...

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

Abstract: As a typical application of the low-altitude economy, UAV collaborative monitoring contributes to urban management and data collection. The dense distribution of urban buildings leads to ...

Abstract: This paper presents Temporal-Context Planner with Transformer Reinforcement Learning (TCP-TRL), a novel robot intelligence capable of learning and performing complex bimanual lifecare tasks ...

Now available in technical preview on GitHub, the GitHub Copilot SDK lets developers embed the same engine that powers GitHub ...

Overview: Generative AI is rapidly becoming one of the most valuable skill domains across industries, reshaping how professionals build products, create content ...

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...

EEschematic is an AI agent designed for automatic schematic generation in analog integrated circuit design. Built upon a Multimodal Large Language Model (MLLM), EEschematic bridges the gap between ...