search
HomeTechnology peripheralsAIYoung scientist Wang Guangyu: a 'light chaser' in the frontier field of artificial intelligence

Artificial intelligence (AI for short) is a hot topic in today's world. It is an interdisciplinary field covering computer science, mathematics, statistics, physics, psychology, philosophy and other disciplines. Its significance is to enable machines to Intelligent like a human being. In this field, there has always been a group of "light chasers" working silently. They embrace the technological wave without hesitation, actively explore and mine the core, and bring new opportunities to the development of artificial intelligence.

There is such a researcher at Beijing University of Posts and Telecommunications. Wang Guangyu, who became a doctoral supervisor at the age of 30, leads the team to explore new theoretical methods and key technologies for intelligent medical biocomputing step by step, chasing the light. She pursues the goal of applying artificial intelligence to complex real-world environments and solving important problems. ”

As an outstanding young scientist in the field of intelligent biomedical computing, Wang Guangyu proposed a new digital health model driven by information technology, which has made many technical advances in multi-modal intelligent semantic computing, secure circulation of data elements, and intelligent collaboration. Relevant work has published many high-level academic papers in international journals such as Nature and Cell, and has been empowered in digital health medical applications. It has achieved a series of results in "technological anti-epidemic" and "remote prevention and treatment of chronic diseases". The "New Artificial Intelligence-driven Dynamic Portrait of Major Diseases and Remote Efficient Prevention and Treatment System" developed by her technical team was selected as the "World's Leading Internet Scientific and Technological Achievements".

Young scientist Wang Guangyu: a light chaser in the frontier field of artificial intelligence

From the end of 2019 to the beginning of 2020, the COVID-19 epidemic struck. Faced with the tight supply of medical resources, quickly optimizing diagnostic paths and promoting intelligent emergency treatment models became a major challenge for scientific and technological workers. At that time, Wang Guangyu led the team to carry out an emergency scientific research project. At this critical moment in responding to the COVID-19 epidemic, we need to race against time, and information technology can accelerate the process of new medical discoveries. By quickly gathering information such as clinical images, diagnosis and treatment data, and continuous learning, artificial intelligence can assist clinicians in quickly classifying patients' conditions, screening out more critical patients, and giving medication recommendations to protect lives. "Wang Guangyu said.

Young scientist Wang Guangyu: a light chaser in the frontier field of artificial intelligence

After two to three months of non-stop work, we continued to update and iterate multi-modal medical big data such as images and medical texts from hospitals across the country. In the end, Wang Guangyu teamed up with a multidisciplinary team to quickly develop an intelligent screening, diagnosis and severe warning system for the entire diagnosis and treatment process. This system is of great significance for the quantitative evaluation of clinical treatment plans and intelligent screening of drugs.

What changes will the cross-collaboration of information and medicine bring to people’s lives? What can artificial intelligence do in the health field? In addition to "technological anti-epidemic", Wang Guangyu led her team to boldly explore in the field of "remote prevention and treatment of chronic diseases". Early screening of chronic diseases has always been a problem. Traditional medical treatment relies on examination methods. Wang Guangyu's research team has proposed a new method of individual survival analysis based on deep learning, which can achieve dynamic risk assessment and health management for major diseases. In the early detection stage of chronic diseases, the team relies on trusted privacy computing, non-invasive mobile information sensing, smart terminal access and real-time aggregation of big data, and uses the digitization of human body "phenotype" and behavioral information to establish a system for patients. Healthy dynamic portrait. "Diabetes, hypertension, etc. all have pathological changes in tiny blood vessels, and artificial intelligence is very good at observing these subtle characteristics. Through learning, it can find the early characteristics of these chronic diseases for us and provide evidence for early detection." In the treatment stage, This system can play a stronger role. Through deep reinforcement learning, it can avoid the disadvantages of non-individualized dosage in traditional medication. It can customize precise medication plans and dosages for each patient, realizing true precision medicine. "Our digital therapy has entered the clinical trial stage."

The achievements achieved in the past are just the past. Now, Wang Guangyu and his team are working towards advanced cognitive intelligence based on semantic space to realize human-centered multi-modal interactive AI doctors and provide trustworthy, explainable and safe services. Artificial intelligence can better benefit human life and health.

Text/Beijing Youth Daily reporter Wang Wei

Photography/Beijing Youth Daily reporter Liu Chang

Editor/Tan Weiping

The above is the detailed content of Young scientist Wang Guangyu: a 'light chaser' in the frontier field of artificial intelligence. For more information, please follow other related articles on the PHP Chinese website!

Statement
This article is reproduced at:搜狐. If there is any infringement, please contact admin@php.cn delete
2023年机器学习的十大概念和技术2023年机器学习的十大概念和技术Apr 04, 2023 pm 12:30 PM

机器学习是一个不断发展的学科,一直在创造新的想法和技术。本文罗列了2023年机器学习的十大概念和技术。 本文罗列了2023年机器学习的十大概念和技术。2023年机器学习的十大概念和技术是一个教计算机从数据中学习的过程,无需明确的编程。机器学习是一个不断发展的学科,一直在创造新的想法和技术。为了保持领先,数据科学家应该关注其中一些网站,以跟上最新的发展。这将有助于了解机器学习中的技术如何在实践中使用,并为自己的业务或工作领域中的可能应用提供想法。2023年机器学习的十大概念和技术:1. 深度神经网

超参数优化比较之网格搜索、随机搜索和贝叶斯优化超参数优化比较之网格搜索、随机搜索和贝叶斯优化Apr 04, 2023 pm 12:05 PM

本文将详细介绍用来提高机器学习效果的最常见的超参数优化方法。 译者 | 朱先忠​审校 | 孙淑娟​简介​通常,在尝试改进机器学习模型时,人们首先想到的解决方案是添加更多的训练数据。额外的数据通常是有帮助(在某些情况下除外)的,但生成高质量的数据可能非常昂贵。通过使用现有数据获得最佳模型性能,超参数优化可以节省我们的时间和资源。​顾名思义,超参数优化是为机器学习模型确定最佳超参数组合以满足优化函数(即,给定研究中的数据集,最大化模型的性能)的过程。换句话说,每个模型都会提供多个有关选项的调整“按钮

人工智能自动获取知识和技能,实现自我完善的过程是什么人工智能自动获取知识和技能,实现自我完善的过程是什么Aug 24, 2022 am 11:57 AM

实现自我完善的过程是“机器学习”。机器学习是人工智能核心,是使计算机具有智能的根本途径;它使计算机能模拟人的学习行为,自动地通过学习来获取知识和技能,不断改善性能,实现自我完善。机器学习主要研究三方面问题:1、学习机理,人类获取知识、技能和抽象概念的天赋能力;2、学习方法,对生物学习机理进行简化的基础上,用计算的方法进行再现;3、学习系统,能够在一定程度上实现机器学习的系统。

得益于OpenAI技术,微软必应的搜索流量超过谷歌得益于OpenAI技术,微软必应的搜索流量超过谷歌Mar 31, 2023 pm 10:38 PM

截至3月20日的数据显示,自微软2月7日推出其人工智能版本以来,必应搜索引擎的页面访问量增加了15.8%,而Alphabet旗下的谷歌搜索引擎则下降了近1%。 3月23日消息,外媒报道称,分析公司Similarweb的数据显示,在整合了OpenAI的技术后,微软旗下的必应在页面访问量方面实现了更多的增长。​​​​截至3月20日的数据显示,自微软2月7日推出其人工智能版本以来,必应搜索引擎的页面访问量增加了15.8%,而Alphabet旗下的谷歌搜索引擎则下降了近1%。这些数据是微软在与谷歌争夺生

荣耀的人工智能助手叫什么名字荣耀的人工智能助手叫什么名字Sep 06, 2022 pm 03:31 PM

荣耀的人工智能助手叫“YOYO”,也即悠悠;YOYO除了能够实现语音操控等基本功能之外,还拥有智慧视觉、智慧识屏、情景智能、智慧搜索等功能,可以在系统设置页面中的智慧助手里进行相关的设置。

人工智能在教育领域的应用主要有哪些人工智能在教育领域的应用主要有哪些Dec 14, 2020 pm 05:08 PM

人工智能在教育领域的应用主要有个性化学习、虚拟导师、教育机器人和场景式教育。人工智能在教育领域的应用目前还处于早期探索阶段,但是潜力却是巨大的。

30行Python代码就可以调用ChatGPT API总结论文的主要内容30行Python代码就可以调用ChatGPT API总结论文的主要内容Apr 04, 2023 pm 12:05 PM

阅读论文可以说是我们的日常工作之一,论文的数量太多,我们如何快速阅读归纳呢?自从ChatGPT出现以后,有很多阅读论文的服务可以使用。其实使用ChatGPT API非常简单,我们只用30行python代码就可以在本地搭建一个自己的应用。 阅读论文可以说是我们的日常工作之一,论文的数量太多,我们如何快速阅读归纳呢?自从ChatGPT出现以后,有很多阅读论文的服务可以使用。其实使用ChatGPT API非常简单,我们只用30行python代码就可以在本地搭建一个自己的应用。使用 Python 和 C

人工智能在生活中的应用有哪些人工智能在生活中的应用有哪些Jul 20, 2022 pm 04:47 PM

人工智能在生活中的应用有:1、虚拟个人助理,使用者可通过声控、文字输入的方式,来完成一些日常生活的小事;2、语音评测,利用云计算技术,将自动口语评测服务放在云端,并开放API接口供客户远程使用;3、无人汽车,主要依靠车内的以计算机系统为主的智能驾驶仪来实现无人驾驶的目标;4、天气预测,通过手机GPRS系统,定位到用户所处的位置,在利用算法,对覆盖全国的雷达图进行数据分析并预测。

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Tools

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

DVWA

DVWA

Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software