Against the grand backdrop of the accelerated implementation of AI technology globally, the Chinese AI Agent (intelligent agent) market is experiencing remarkable explosive growth, reshaping the new ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Objective Comprehensive data and analyses on cardiovascular research could clarify recent research trends for the academic community and facilitate policy development. We examined publications and ...

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for beginners in machine learning! #Adagrad #MachineLearning #PythonCoding FBI ...

A new algorithm for estimating left ventricular filling pressure (LVFP) by echocardiography reduced indeterminate results to just two cases compared with 38 using previous guidelines, achieving 86% ...

We have been using Semantic Kernel Process Framework to orchestrate our agentic solution, it had been functioning well. Our process framework uses Azure AI Agents hosted on Azure AI Foundry as steps.

A new technical paper titled “Scanning electron microscopy-based automatic defect inspection for semiconductor manufacturing: a systematic review” was published by researchers at KU Leuven and imec.

Abstract: Due to the black-box characteristics of deep learning based semantic encoders and decoders, finding a tractable method for the performance analysis of semantic communications is a ...

Abstract: With the rapid development of information technology, social media platforms have become the main places for the public to discuss hot events, express opinions and emotions. Real time ...