Researchers in Korea have developed a new near-infrared (NIR) fluorescent dye with significantly improved photostability, overcoming the rapid signal fading that has long limited fluorescence imaging ...
A research team led by UCLA and the University of Rochester has demonstrated a promising evolution of an imaging system ...
In this useful Tools & Resources article, the authors describe a new cryogenic light microscopy design and characterize its temperature and spatial stability. This compelling system avoids the ...
The fields of robotics and artificial intelligence are evolving at an unprecedented pace, driven by innovation and increasing demands for autonomy, efficiency, and safety. To better understand these ...
Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to labs and cloud servers—they’re now operating at the edge in space. From satellites to deep space probes, missions ...
A new innovation from Cornell researchers lowers the energy use needed to power artificial intelligence—a step toward shrinking the carbon footprints of data centers and AI infrastructure. As AI ...
Abstract: This research addresses the challenges of real-time medical image analysis by developing a system that combines the power of FPGAs and machine learning. The framework is designed for ...
Abstract: Deep neural network (DNN) belongs to an important class of machine learning algorithms generally used to classify digital data in the form of image and speech recognition. The computational ...
Code for the paper: "Modular Neural Image Signal Processing". A modular neural ISP with interpretable stages, multi-style rendering, cross-camera generalization, and post-editable re-rendering with an ...
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