Microsoft Cognitive Services cover a wide range of AI capabilities, including computer vision, natural language processing, speech recognition, and more. Here are some of the key services within Microsoft Cognitive Services:

1. Computer Vision:

   • Computer Vision API: This service enables applications to analyze and interpret visual content in images and videos. It can perform tasks like image classification, object detection, text recognition (OCR), and generating image descriptions.

2. Speech and Language:

   • Speech Service: This service offers speech-to-text and text-to-speech capabilities, making it possible to integrate speech recognition and synthesis into applications. It’s often used for voice commands, transcription services, and voice-controlled applications.
   • Language Understanding (LUIS): LUIS allows developers to build natural language understanding into their applications. It can interpret user intents from text input, facilitating natural language interactions with applications.
   • Text Analytics: Text Analytics API provides sentiment analysis, key phrase extraction, and language detection features. It helps analyze and gain insights from unstructured text data.

3. Knowledge Mapping:

   • QnA Maker: QnA Maker enables the creation of question-and-answer bots and knowledge bases. It can automatically extract Q&A pairs from documents or websites and build a bot for answering questions.

4. Search and Recommendations:

   • Bing Search APIs: These APIs offer search capabilities and allow developers to integrate Bing search results into their applications. They cover web search, image search, news search, and more.
   • Recommendations API: This service provides personalized product recommendations for e-commerce and content-based applications, improving user engagement.

5. Decision Making:

   • Content Moderator: Content Moderator helps filter and moderate content to ensure that it meets content standards and policies. It’s commonly used for content moderation in online communities and applications.

6. Anomaly Detection:

   • Anomaly Detector: This service helps identify unusual patterns or anomalies in data, making it valuable for applications that require anomaly detection, such as predictive maintenance.

7. Custom Vision and Language:

   • Custom Vision: Developers can create custom machine learning models for image classification using their own data.
   • Custom Language Model: Custom Language Model helps build custom natural language understanding models tailored to specific domains or applications.

8. Face Recognition:

   • Face API: Face API provides facial recognition and analysis capabilities, allowing developers to detect and analyze faces in images and videos.

9. Ink Recognizer:

   • Ink Recognizer: This API interprets digital ink and handwriting, making it suitable for applications that involve stylus or touch input.