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 visualisations 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 analysing sensitive datasets.
The Artificial Nose experiment is a smart device trained to recognise 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 – a generator tasked with filing in missing information and a discriminator that analyses the realism of the new image – 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 mathematical equation from a student’s photo of their notes. The problem is then standardised, classified, solved and returned with solution steps and similar problems.
Machine Reading Comprehension (MRC) answers questions about written text. Using a neural network, MRC mimics the process of human readers. Ask a question and MRC reads a document until an answer is formed.
Sketch2Code converts hand-written drawings into HTML prototypes. Designers share ideas on a whiteboard, then changes are shown instantly in the browser – helping to improve collaboration between the designer, developer and customer.
Code Defect AI
Altran developed a machine learning classifier that predicts which source code files carry a higher risk of a bug. Developers are presented with an explanation and the 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 up and scale investigations and research by helping journalists to 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 analyse the quality of the shot to help professionals, amateurs and coaches to 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.
Gen Studio is a prototype created with collaborators from The Metropolitan Museum of Art, Microsoft and MIT. Gen Studio uses AI to visually navigate The Met’s art collection.
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.