A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

To harness biological systems (plants and microbes) for next-generation energy production and advanced materials, researchers ...

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to compare complex medical images quickly and accurately, helping detect subtle ...

Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

The Tax Labyrinth: How US Law Firms' Complex Structures Defeated UK Revenue Plans A Law.com investigation into the tax structures of law firms has found that U.S.-based firms in London use vastly ...

Elon Musk's social network X (formerly known as Twitter) last night released some of the code and architecture of its overhauled social recommendation algorithm under a permissive, enterprise-friendly ...

Abstract: Community detection is capable of uncovering the inherent structure and functional organization within complex networks by analyzing multi-scale topological features. According to the brief ...

MIT researchers have developed a new method for designing 3D structures that can be transformed from a flat configuration into their curved, fully formed shape with only a single pull of a string. The ...

ABSTRACT: This paper presents a theoretical framework for parallelizing the FD3 algorithm, which estimates the capacity, information, and correlation dimensions of chaotic time series using the ...