Dealing with massive amounts of data is not always straightforward. Often, a data scientist needs to trim down a large data table into a handful of key components that can be used for further analysis. For example, we may want…
VirtualMultiplexer architecture The VirtualMultiplexer is a generative AI toolkit that performs unpaired H&E-to-IHC translation. An overview of the model’s architecture is shown in Fig. 2a. The VirtualMultiplexer is trained using two sets of images: source H&E images, denoted as \({X}_{{\rm{img}}}=\{x\in…
To validate the proposed models, we employed two multi-lead electrocardiogram datasets mentioned in Sect. 4.1. Baseline models referenced in Sect. 4.2 and state-of-the-art models were utilized for comparison, juxtaposed with STFAC-ECGNet. Results of PTB-XL dataset Table 2 presents the measurement results of…
Deephaven is a powerful analytics engine that makes processing large data more intuitive than ever. Iceberg is a table format that provides fast, efficient, and scalable data storage. Combining the two is like bringing Holmes and Watson together to solve…
[TEASER ENDS] GRETCHEN HUIZINGA: You’re listening to Collaborators, a Microsoft Research Podcast showcasing the range of expertise that goes into transforming mind-blowing ideas into world-changing technologies. I’m Dr. Gretchen Huizinga. [MUSIC FADES] Today I’m talking to Dr. Richard Black, a…
Kwakkel, G., Kollen, B. J., van der Grond, J. & Prevo, A. J. Probability of regaining dexterity in the flaccid upper limb: Impact of severity of paresis and time since onset in acute stroke. Stroke 34(9), 2181–2186 (2003). Article PubMed …
Notations For two vectors \({{\bf{u}}}\in {{\mathbb{R}}}^{{n}_{u}}\) and \({{\bf{v}}}\in {{\mathbb{R}}}^{{n}_{v}}\), we use the notations: \({\left({{\bf{u}}}\otimes {{\bf{v}}}\right)}_{{ij}}={u}_{i}{v}_{j}\) and \({\left({{\bf{u}}}\oplus {{\bf{v}}}\right)}_{{ij}}={u}_{i}+{v}_{j}\). For two matrices \({{\bf{U}}}\in {{\mathbb{R}}}^{n\times d}\) and \({{\bf{V}}}\in {{\mathbb{R}}}^{n\times d}\) of identical dimensions, we’ll use the scalar product notation \({{\langle }},{{\rangle }}\)…
Building a robot takes time, technical skill, the right materials — and sometimes, a little fungus. In creating a pair of new robots, Cornell University researchers cultivated an unlikely component, one found on the forest floor: fungal mycelia. By harnessing…
Paradigm (YC24) is transforming the traditional spreadsheet by integrating AI to create the first generally intelligent spreadsheet. Their tool orchestrates a swarm of AI agents to gather data, structure it, and execute tasks with human-level precision. To achieve their goals,…
National Study of Mental Health and Wellbeing. (2023). Villaume, S. C., Chen, S. & Adam, E. K. Age disparities in prevalence of anxiety and depression among US adults during the COVID-19 pandemic. JAMA Netw. Open 6(11), e2345073 (2023). Article …
Proposed deep learning models In this study, we developed and evaluated two deep learning models for pelvic fractures. The first model segments the pelvic ring from collected image data, while the second model classifies fracture patterns using the AO/OTA classification…
Today, we’re launching LangGraph.js v0.2.0, our JavaScript/TypeScript framework for building LLM-powered agents. Here’s what’s new: We’re also introducing beta support for LangGraph.js projects in LangGraph Studio, our agent IDE for desktop, and LangGraph Cloud, our scalable infrastructure for deploying agents..…