面向有意在其项目中应用微软AI或IoT技术的客户或合作伙伴,无论是世界500强企业还是初创公司,均可申请入驻

为企业的工程师团队提供为期1至2周的技术加速服务,免费提供个性化一对一指导,帮助您的项目更快实现目标。

探寻技术优化的可能性,缩短产品问市时间,加速商业化进程,帮助您从微软工程师的技术指导中受益

了解关于微软-索尼联合实验室的信息,请点击此处

人工智能和物联网实验室

作为微软最先进的实验室之一,我们提供多种前沿技术、工业级设备及项目管理服务,帮助您的开发团队培养技能、解决问题并加速实现目标。


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实验室入驻流程分为4个步骤:

2. 全面的入驻前期准备(2-3 周) ?

3. 入驻方案设计

4. 与您的团队一起完成加速方案(1-2 周)

为什么加入微软人工智能和物联网实验室?

人工智能 (AI) 和物联网 (IoT) 正在全面改变人、设备和数据交互的方式。

这种变化速度是指数级的。许多企业无法快速了解最新技术,可能错过构建创新生态系统的重要节点,这使他们无法快速发挥自己的潜力。如果您的企业正在开发 AI和/或IoT解决方案,您可以通过入驻实验室解决您在AI和IoT方面遇到的问题,并获得来自微软AI和IoT技术专家的指导和建议。

您可以获得哪些服务?

通过简明的入驻流程, 根据您的实际业务需求,定制技术加速方案,您的工程师团队将直接与您专属的微软AI及IoT技术专家进行合作。

我们提供全方位的项目周期管理,帮助您快速实现目标,包括个性化头脑风暴、快速原型设计、各类主题研讨会等各类服务。

我们的最终目标是帮助您实现产品、服务和业务的数字化转型。

AI和IoT前景正在日益变化。

实验室位置

微软人工智能和物联网实验室分别设于美国雷德蒙德,是微软核心技术产品中心;中国上海,是国际化创新驱动和生态赋能的中心之一;德国慕尼黑,欧洲生态合作伙伴赋能中心。

实验室提供客户企业解决方案设计、开发和测试,推动其从原型到量产的商业化落地。


线上实验室

目前,除上海实验室外,其他实验室均以远程入驻形式运营。

我们提供安全便捷的线上远程入驻服务。团队成员借助网络会议室,通过更为灵活的方式完成项目加速,工作流程包括技术方案制定、每日例会、工程师实时技术指导等

线上实验室:全球企业均可入驻

微软技术专家随时为您提供帮助:

电气工程师

云工程师

数据科学家

项目经理

软件工程师

实验室技术赋能

AI Technologies

The Azure Machine Learning service empowers developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible machine learning. Enterprise-grade machine learning service to build and deploy models faster.

The Speech service is the unification of speech-to-text, text-to-speech, and speech-translation into a single Azure subscription. It's easy to speech enable your applications, tools, and devices with the Speech CLI, Speech SDK, Speech Devices SDK, Speech Studio, or REST APIs.
Boost content discoverability, automate text extraction, analyze video in real time, and create products that more people can use by embedding cloud vision capabilities in your apps with Computer Vision, part of Azure Cognitive Services. Use visual data processing to label content with objects and concepts, extract text, generate image descriptions, moderate content, and understand people's movement in physical spaces. No machine learning expertise is required.
Azure Custom Vision is an image recognition service that lets you build, deploy, and improve your own image identifiers. An image identifier applies labels (which represent classes or objects) to images, according to their visual characteristics. Unlike the Computer Vision service, Custom Vision allows you to specify the labels and train custom models to detect them.
The Text Analytics API is a cloud-based service that provides Natural Language Processing (NLP) features for text mining and text analysis, including: sentiment analysis, opinion mining, key phrase extraction, language detection, and named entity recognition.
The Anomaly Detector API enables you to monitor and detect abnormalities in your time series data without having to know machine learning. The Anomaly Detector API's algorithms adapt by automatically identifying and applying the best-fitting models to your data, regardless of industry, scenario, or data volume. Using your time series data, the API determines boundaries for anomaly detection, expected values, and which data points are anomalies.
Language Understanding (LUIS) is a cloud-based conversational AI service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.
QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information. QnA Maker is commonly used to build conversational client applications, which include social media applications, chat bots, and speech-enabled desktop applications.
Azure Form Recognizer is a cognitive service that lets you build automated data processing software using machine learning technology. Identify and extract text, key/value pairs, selection marks, tables, and structure from your documents—the service outputs structured data that includes the relationships in the original file, bounding boxes, confidence and more. You quickly get accurate results that are tailored to your specific content without heavy manual intervention or extensive data science expertise. Use Form Recognizer to automate data entry in your applications and enrich your documents search capabilities.

Develop intelligent, enterprise-grade bots that help you enrich the customer experience while maintaining control of your data. Build any type of bot—from a Q&A bot to your own branded virtual assistant—to quickly connect your users to the answers they need. Bot Framework Composer is an open-source visual authoring canvas for developers and multidisciplinary teams to build bots. Composer integrates language understanding services such as LUIS and QnA Maker and allows sophisticated composition of bot replies using Language Generation. The Bot Framework, along with the Azure Bot Service, provides tools to build, test, deploy, and manage intelligent bots, all in one place.

IoT Technologies

IoT Technologies

Azure IoT Hub is a managed service, hosted in the cloud, that acts as a central message hub for bi-directional communication between your IoT application and the devices it manages. You can use Azure IoT Hub to build IoT solutions with reliable and secure communications between millions of IoT devices and a cloud-hosted solution backend.

Azure IoT Edge moves cloud analytics and custom business logic to devices so that your organization can focus on business insights instead of data management. Scale out your IoT solution by packaging your business logic into standard containers, then you can deploy those containers to any of your devices and monitor it all from the cloud.

Azure Digital Twins is a platform as a service (PaaS) offering that enables the creation of knowledge graphs based on digital models of entire environments. These environments could be buildings, factories, farms, energy networks, railways, stadiums, and more—even entire cities. These digital models can be used to gain insights that drive better products, optimized operations, reduced costs, and breakthrough customer experiences.

Azure Functions is a serverless solution that allows you to write less code, maintain less infrastructure, and save on costs. Instead of worrying about deploying and maintaining servers, the cloud infrastructure provides all the up-to-date resources needed to keep your applications running.

Azure Stream Analytics (ASA) is a real-time analytics and complex event-processing engine that is designed to analyze and process high volumes of fast streaming data from multiple sources simultaneously. Patterns and relationships can be identified in information extracted from lots of input sources. These patterns can be used to trigger actions and initiate workflows such as creating alerts, feeding information to a reporting tool, or storing transformed data for later use. Also, ASA is available on Azure IoT Edge runtime, enabling to process data on IoT devices.

Azure Time Series Insights (TSI) is an open and scalable end-to-end IoT analytics service featuring best-in-class user experiences and rich APIs to integrate its powerful capabilities into your existing workflow or application. TSI able to collect, process, store, query and visualize data at IoT scale data that's highly contextualized and optimized for time series.

Azure IoT Central is an IoT application platform that reduces the burden and cost of developing, managing, and maintaining enterprise-grade IoT solutions. Choosing to build with IoT Central gives you the opportunity to focus time, money, and energy on transforming your business with IoT data, rather than just maintaining and updating a complex and continually evolving IoT infrastructure. The web UI lets you monitor device conditions, create rules, and manage millions of devices and their data throughout their life cycle. Furthermore, it enables you to act on device insights by extending IoT intelligence into line-of-business applications.

Azure Sphere is a secured, high-level application platform with built-in communication and security features for internet-connected devices. It comprises a secured, connected, crossover microcontroller unit (MCU), a custom high-level Linux-based operating system (OS), and a cloud-based security service that provides continuous, renewable security.

Azure RTOS is an embedded development suite including a small but powerful operating system that provides reliable, ultra-fast performance for resource-constrained devices. It's easy-to-use and market-proven, having been deployed on more than 6.2 billion devices worldwide. Azure RTOS supports the most popular 32-bit microcontrollers and embedded development tools, so that you can make the most of your team's existing skills.

AI和IoT格局正在快速变化。

即刻申请入驻微软人工智能和物联网实验室,我们的微软技术专家会与您的团队一起加速构建创新解决方案。