AI Lab projects
Explore, learn, and code with the latest breakthrough AI innovations by Microsoft.
AI at Scale
We create the systems and platforms for training and deploying large AI models at scale. These advancements can make it faster and easier for developers and data scientists to infuse AI into their applications.
Data visualizations are an important part of data storytelling but sometimes they tell just a part of the whole story. Datamations help bring data to life by making it easy to create animations that show the process behind a plot or table.
Synthetic Data Showcase
Sharing data from sensitive sources is critical to research but can put vulnerable data subjects at risk of being identified. We created an open-source pipeline that generates synthetic data to preserve privacy when sharing and analyzing sensitive datasets.
The Artificial Nose experiment is a smart device trained to recognize a variety of smells. With a simple gas sensor and a micro-controller, you can build an AI nose that can identify the smell of bread, coffee, and more.
CoModGAN uses AI to complete an image that is missing significant amounts of visual information. Two neural networks work together to generate and verify a completed image.
Virtual Stage is a background matting experiment to create high-quality videos from anywhere, improving current virtual green screening techniques with Azure Kinect depth camera.
Microsoft Math uses optical character recognition (OCR) for handwriting to extract a math equation from a student’s photo of their notes. The problem is then standardized, classified, solved, and returned with solution steps and similar problems.
Code Defect AI
Altran developed a machine learning classifier that predicts source code files carrying a higher risk of a bug. Developers are presented with explanation and factors used in making the specific prediction.
Insights and Discovery Accelerator
Unlock insights and discover intelligent connections in unstructured data. The Insights and Discovery Accelerator uses Microsoft AI to speed and scale investigations and research by helping journalists find critical content in a sea of data.
Spektacom uses a mini sticker sensor on a cricket bat to gather data on the quality, speed, twist, and swing of the bat. This data is used to analyze the quality of the shot to help professionals, amateurs, and coaches improve their game.
Angel Eyes is an IOT device that monitors a baby’s sleeping position and environment. Caregivers can view a live stream from anywhere and receive notifications if the device detects any issues.
Snow Leopard Trust
The Snow Leopard Trust uses AI to study snow leopards in the wild. Camera traps capture hundreds of thousands of photos of rare snow leopards; machine learning and cognitive services are used to accelerate photo analysis and to map areas of activity.
AirSim - Drones
AirSim is a simulation tool that creates a 3D version of a real environment. A simulated drone “flies” to capture images, building a custom vision model. AI uses the vision model to identify objects or people.
Differential privacy is crucial for machine learning and data privacy. Safeguarding the privacy of people while enabling deeper analysis will empower health research innovations.
Responsible Conversational AI
Conversational AI is a new way for companies to interact with their customers across any channel, like digital assistants, chat or social media. To be effective, conversational bots need to be developed in a way that earns people’s trust.