Microsoft AI Blog

Microsoft CTO Kevin Scott discusses the rapid advancements in AI, including large models like GitHub Copilot and DALL·E 2, their impact on productivity and creativity, the role of AI in scientific breakthroughs, and Microsoft's commitment to responsible AI.

Microsoft integrates DALL·E 2 into Azure OpenAI Service, enabling brands like Mattel and RTL Deutschland to generate custom images for design and personalization. Other AI tools like Microsoft Syntex and Power Automate automate workflows and content management, boosting productivity.

Microsoft is open-sourcing Project FarmVibes, including FarmVibes.AI, to help farmers leverage data and AI for better yields and lower costs. The toolkit runs on Azure and provides algorithms for fertilizer optimization, weed detection, microclimate forecasting, and carbon sequestration estimation.

The application of data and AI is set to revolutionize contact centres in financial services, improving customer experience, reducing costs, and enhancing compliance.

MAUI63 uses AI-powered drones to study the critically endangered Māui dolphins, with only 54 remaining. The technology helps identify individuals and understand their behavior, aiding conservation efforts.

14-year-old Eithne from the UK was struggling with math after COVID disruptions. The online tutoring service Eedi used AI developed by Microsoft to dynamically quiz students, identify misconceptions, and assign personalized learning paths. The platform resolves 95% of student misconceptions and boosts confidence. Next-generation causal ML models are being developed for even more personalized recommendations.

SI-com and its parent company ISCEC Japan have developed AI-Mimi, a hybrid captioning system combining human input with Microsoft Azure Cognitive Services, to provide cost-effective real-time captions for local TV stations in Japan, serving Deaf and Hard of Hearing communities. The system was tested successfully and received positive feedback.

Microsoft has released its Responsible AI Standard, a framework to guide the development of AI systems in a responsible manner, focusing on fairness, reliability, privacy, and other core values. The standard includes concrete requirements and tools, and incorporates lessons learned from real-world product experiences.

Singapore's National Parks Board, Microsoft, and Conservation International launched Fin Finder, an AI-powered mobile app that visually identifies shark and ray fins using machine learning on Azure, reducing identification time from days to seconds to combat illegal wildlife trade.

Microsoft's AI for Accessibility program funded RIT research into how Deaf and Hard-of-Hearing users interact with personal assistant devices using ASL. The study identified new wake-up signs and command patterns, and produced a public video dataset to advance sign language recognition.