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Tech Xplore on MSNAI vision, reinvented: Vision-language models gain clearer sight through synthetic training data
In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...
A Hamilton-based company aims to empower farmers with tools to make informed decisions by using artificial intelligence ...
Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...
Their tool, CoSyn (short for Code-Guided Synthesis), taps open-source AI models’ coding skills to render text-rich images and generate relevant questions and answers, giving other AI systems the data ...
At the forefront of discovery, where cutting-edge scientific questions are tackled, we often don't have much data. Conversely ...
A new brain imaging system, Connectome 2.0, is far outperforming traditional MRIs in imaging microscopic brain structure ...
Similar deep-sea volcanoes found on Earth support microbial life that lives inside solid rock without sunlight and oxygen.
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AZoQuantum on MSNAI-Physics Approach Tackles Complex Quantum Problems
Researchers from Okinawa Institute of Science and Technology outline a strategy for using machine learning (ML) to address ...
Karst groundwaters are vital resources, providing drinking water to nearly 10% of the world’s population. However, human activities and global change have deteriorated the karst water quality and ...
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