Utilizing consumer cameras for contact-free physiological measurement in telehealth and beyond

Our research is enabling robust and scalable measurement of physiology. Cameras on everyday devices can be used to detect subtle changes in light reflected from the body caused by physiological processes. Machine learning algorithms are then used to process the camera images and recover the underlying pulse and respiration signals that can then be used for health and wellness tracking. According to the CDC WONDER Online Database, heart disease is currently the leading cause of death for both men and […]

Read more

A Microsoft custom data type for efficient inference

AI is taking on an increasingly important role in many Microsoft products, such as Bing and Office 365. In some cases, it’s being used to power outward-facing features like semantic search in Microsoft Word or intelligent answers in Bing, and deep neural networks (DNNs) are one key to powering these features. One aspect of DNNs is inference—once these networks are trained, they use inference to make judgments about unknown information based on prior learning. In Bing, for example, DNN inference […]

Read more

Adversarial machine learning and instrumental variables for flexible causal modeling

We are going through a new shift in machine learning (ML), where ML models are increasingly being used to automate decision-making in a multitude of domains: what personalized treatment should be administered to a patient, what discount should be offered to an online customer, and other important decisions that can greatly impact people’s lives. The machine learning revolution was primarily driven by problems that are distant from such decision-making scenarios. The first scenarios include predicting what an image depicts, predicting […]

Read more

The human side of AI for chess

As artificial intelligence continues its rapid progress, equaling or surpassing human performance on benchmarks in an increasing range of tasks, researchers in the field are directing more effort to the interaction between humans and AI in domains where both are active. Chess stands as a model system for studying how people can collaborate with AI, or learn from AI, just as chess has served as a leading indicator of many central questions in AI throughout the field’s history. AI-powered chess […]

Read more

Project InnerEye evaluation shows how AI can augment and accelerate clinicians’ ability to perform radiotherapy planning 13 times faster

Up to half of the population in the United States and United Kingdom will be diagnosed with cancer at some point in their lives. Of those, half will be treated with radiotherapy (RT), often in combination with other treatments such as surgery, chemotherapy, and increasingly immunotherapy. Radiotherapy involves focusing high-intensity radiation beams to damage the DNA of deep-seated cancerous tumors while avoiding surrounding healthy organs (known as organs at risk or OARs). Around 40% of successfully treated cancer patients undergo […]

Read more

Enabling interaction between mixed reality and robots via cloud-based localization

You are here. We see some representation of this every day—a red pin, a pulsating blue dot, a small graphic of an airplane. Without a point of reference on which to anchor it, though, here doesn’t help us make our next move or coordinate with others. But in the context of an office building, street, or U.S. map, “here” becomes a location that we can understand in relation to other points. We’re near the lobby; at the intersection of Broadway […]

Read more

A holistic representation toward integrative AI

At Microsoft, we have been on a quest to advance AI beyond existing techniques, by taking a more holistic, human-centric approach to learning and understanding. As Chief Technology Officer of Azure AI Cognitive Services, I have been working with a team of amazing scientists and engineers to turn this quest into a reality. In my role, I enjoy a unique perspective in viewing the relationship among three attributes of human cognition: monolingual text (X), audio or visual sensory signals, (Y) […]

Read more

Physics matters: Haptic PIVOT, an on-demand controller, simulates physical forces such as momentum and gravity

When you reach out an empty hand to pick an apple from a tree, you’re met with a variety of sensations—the firmness of the apple as you grip it, the resistance from the branch as you tug the apple free, the weight of the apple in your palm once you’ve plucked it, and the smooth, round surface under your fingertips. In recent years, steady progress in haptic controllers from Microsoft Research has moved us toward a virtual reality (VR) experience […]

Read more

Microsoft Turing Universal Language Representation model, T-ULRv2, tops XTREME leaderboard

Today, we are happy to announce that Turing multilingual language model (T-ULRv2) is the state of the art at the top of the Google XTREME public leaderboard. Created by the Microsoft Turing team in collaboration with Microsoft Research, the model beat the previous best from Alibaba (VECO) by 3.5 points in average score. To achieve this, in addition to the pretrained model, we leveraged “StableTune,” a novel multilingual fine-tuning technique based on stability training. Other models on the leaderboard include […]

Read more

Novel object captioning surpasses human performance on benchmarks

Consider for a moment what it takes to visually identify and describe something to another person. Now imagine that the other person can’t see the object or image, so every detail matters. How do you decide what information is important and what’s not? You’ll need to know exactly what everything is, where it is, what it’s doing in relation to other objects, and note other attributes like color or position of objects in the foreground or background. This exercise shows […]

Read more
1 11 12 13 14 15