Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.
An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
A sociotechnical lens highlights red-teaming as a particular arrangement of human labor that unavoidably introduces human value judgments into technical systems, and can pose psychological risks for ...
Deep learning and artificial intelligence are driving a transformative era in medical imaging, ushering in advanced tools for ...
Microsoft has introduced automatic EXIF metadata removal for Teams images, stripping hidden GPS coordinates and device details starting late January 2026 across all platforms.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results