Object detection is a powerful technique for identifying objects in images and videos. Thanks to deep learning and computer vision advances, it has come...
Language facilitates crucial interactions for and between physicians, researchers, and patients in the compassionate field of medicine. But the use of language by current...
Capturing and synthesizing realistic human motion trajectories can be extremely useful in virtual reality, game character animations, CGI, and robotics. We need large datasets...
The visual quality of recent neural rendering techniques is outstanding when used for free-viewpoint rendering of recorded scenes. Such scenes frequently have significant high-frequency...
In the last decade, convolutional neural networks (CNNs) have been the backbone of computer vision applications. Traditionally, computer vision tasks have been tackled using...
Dimensionality reduction (DR) is a method for analyzing high-dimensional data that involves minimizing the number of variables taken into account. Data visualization in two...
HVAC (heating, ventilation, and air conditioning) accounts for a sizable portion of the world's CO2 emissions. Around 10% of the entire electricity demand for...
Researchers from the French CNRS have come up with a Noise-Adaptive Intelligent Programmable Meta-Imager. Sensing systems are increasingly used in many aspects of our...
Recent technical developments have opened several gates for applying artificial intelligence (AI), especially in the healthcare industry. One such area of biomedical research that...
Most information regarding each patient's health condition and clinical history kept in Electronic Health Records (EHRs) is recorded in clinical notes inside the unstructured...
In many areas of natural language processing, including language interpretation and natural language synthesis, large-scale training of machine learning models utilizing transformer topologies has...
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