Because headphones rank among the most popular wearables in the market, we have an exciting opportunity to expand their capabilities through integrating existing sensors with supplementary ones to enable a wide variety of experiences that go beyond traditional audio control.
Efficiency is vital in the face of escalating demand for cloud resources. And efficient power management strategies address the bottleneck of power availability in datacenters. Learn how we optimize power allocation to support sustainable resource usage.
This research paper was accepted by 2023 USENIX Annual Technical Conference (ATC) (opens in new tab), which is dedicated to advancing the field of systems research. Whether they’re personal computers or cloud instances, it’s crucial to ensure that the computer systems people use every day…
In this issue: A new study looks at engineers’ views on hybrid work; prompt engineering adds context and specificity to generative AI models; Overwatch learns code edit patterns to aid developers; a Qlib update addresses financial market challenges.
Distributional Graphormer, Microsoft’s new deep learning framework for predicting the equilibrium distribution of molecular structures, can generate realistic and diverse molecular structures with high efficiency and low cost.
Imagine an AI model that can seamlessly generate high-quality content across text, images, video, and audio, all at once. Such a model would more accurately capture the multimodal nature of the world and human comprehension, seamlessly consolidate information from a wide range of sources, and…
Picture a world where computing is not limited by the binary confines of zeros and ones, but instead, is free to explore the vast possibilities of continuous value data. Over the past three years a team of Microsoft researchers has been developing a new kind…
In this issue: Our new Responsible AI Maturity Model; FoundWright helps “re-find” web pages; Trace-guided Inductive Synthesis of Recursive Functional Programs; a wait-free algorithm for weak reference counting; and new research on concurrency testing.
Large AI models are transforming the digital world. Generative language models like Turing-NLG, ChatGPT, and GPT-4, powered by large language models (LLMs), are incredibly versatile, capable of performing tasks like summarization, coding, and translation. Similarly, large multimodal generative models like DALL·E, Microsoft Designer, and Bing…
In the vast realm of artificial intelligence, few fields have captivated our imagination and pushed the boundaries of possibility quite like computer vision. At the core of this domain of research and innovation lies the ambition to empower technologies for real-world vision-based systems, enabling machines…
This content was previously published by Nature Portfolio and Springer Nature Communities (opens in new tab) on Nature Portfolio Earth and Environment Community (opens in new tab). Improving our ability to forecast the weather and climate is of interest to all sectors of the economy and…
The use of self-supervision from image-text pairs has been a key enabler in the development of scalable and flexible vision-language AI models in not only general domains but also in biomedical domains such as radiology. The goal in the radiology setting is to produce rich…
