Accurate localization of pathologies in medical images is crucial for precise diagnosis and effective treatment. Existing deep learning models for defining pathology from clinical imaging data rely ...
The lack of sensory feedback provided by prosthetic hands dramatically limits the utility of the device. Peripheral nerve interfaces are now able to produce stable somatosensory percepts for upper ...
CRISPincette, and detection of low frequency cancer mutations in ctDNA. Deciphering the tumor microenvironment (TME) dynamics in advanced colorectal (CRC) and pancreatic cancers (PDAC) treated with ...
Demonstration of different visual-inertial odometry methods: (a) traditional VIO methods, which rely on handcrafted features and geometry-based optimization; (b) existing deep learning-based methods, ...
For those of you who were unable to join the webinar live, the stream is now available for everyone to watch here or on YouTube. In this talk, I will introduce several neuroimaging techniques now ...
Researchers from Finland, Switzerland, Spain and Romania gathered at Tampere University in Finland for a workshop this month within the Robosat project focusing on localization of autonomous machines.
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Nvidia debuts Nemotron 3 Nano Omni at NAB Show
At NAB Show 2026, Nvidia introduced Nemotron 3 Nano Omni, an AI model integrating vision, audio, and language processing to address latency and context fragmentation in multimodal systems. Media ...
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