Fangzhou ’XingShi’ Large Language Model Highlighted Among China’s Most Anticipated Healthcare Models for 2026

Industry research platform VBData recently highlighted “XingShi” Large Language Model (“XS LLM”) from Fangzhou Inc. ("Fangzhou" or the "Company") (HKEX: 06086), a leader in AI-driven Internet ...
ascopubs.org

Enhancing Patient-Trial Matching With Large Language Models: A Scoping Review of Emerging Applications and Approaches

A comprehensive search was conducted in PubMed, Web of Science, and OpenAlex for literature published between December 1, 2022, and December 31, 2024. Studies were included if they explicitly ...
Business Wire

Open Source Dapr Adds Large Language Models Interface for Integration with Applications

SALT LAKE CITY--(BUSINESS WIRE)--KubeCon – Diagrid, provider of enterprise tools and services for building secure, reliable, and portable applications, today announced details of the upcoming release ...

Malaysia's First Large Language Model based Synthetic Data Intelligence Platform with Agentic function, AxxonAI launched with healthcare partner Sancy Berhad

Athenatech AI Sdn Berhad (athenatech.ai ), one of Malaysia's top six AI start-ups to watch, today announced the launch of subsidiary AxxonAI (axxonai.com), a Large Language Model (LLM) based synthetic ...
CNBC

Big AI models will be commoditized — the value will come from the applications, Infosys chair says

Nandan Nilekani, co-founder of Infosys and chairman of the board, said there are going to be many different LLMs around the world. However, many of these LLMs will become commoditized with the value ...

Agnik International is Developing New Scalable Distributed Machine Learning Architecture for Large Language Models and Physical AI Applications

Agnik International, a leading data science company with market-leading analytic products, today announced that they are ...
Semiconductor Engineering

Small Vs. Large Language Models

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...