Philips has introduced Verida, described as the first detector-based spectral CT system fully powered by AI. According to a Nov. 30 news release, Verida integrates AI across the imaging chain, from ...
Abstract: Spectral clustering algorithms rely on graphs where edges are defined based on the similarity between the vertices (data points). The effectiveness and fairness of spectral clustering depend ...
Who needs a revamped Mac Pro when you can just turn several Mac Studios into a unified computing system? With the upcoming macOS Tahoe 26.2 release, Apple is introducing a new low-latency feature that ...
This important work attempts to understand observed variability in oral shedding of SARS-CoV-2 and suggests that routine clinical factors are not determinative. The evidence supporting the conclusion ...
Python API for reading WINISI .cal files (spectral data files used in NIR applications). The feature should enable users to extract spectral data, sample information, and metadata from .cal files. It ...
WEST LAFAYETTE, Ind. — Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality control, and medical diagnostics could benefit from a ...
Abstract: Traditional spectral clustering methods struggle with scalability and robustness in large datasets due to their reliance on similarity matrices and EigenValue Decomposition. We introduce two ...
Spectral bats are large, carnivorous creatures that feast on rodents, birds and even other bats. However, despite their fearsome reputation, these flying mammals (Vampyrum spectrum) also appear to ...
Soon to be the official tool for managing Python installations on Windows, the new Python Installation Manager picks up where the ‘py’ launcher left off. Python is a first-class citizen on Microsoft ...
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