On February 14, a researcher who was frustrated with reproducing the results of a machine learning research paper opened up a Reddit account under the username ContributionSecure14 and posted the ...
In the "This Paper Changed My Life" series, neuroscientists reflect on papers that have profoundly influenced their careers ...
Melbourne, Australia - 12 August 2025 - Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a ...
Using heart rate variability as a potential biomarker for diagnostic support and early screening of schizophrenia and bipolar ...
Chris Guthrie, CFA, President and CEO, CIO, Senior Portfolio Manager, Founding Partner, Hillsdale Investment Management; ...
Large language models like OpenAI’s GPT-3 are massive neural networks that can generate human-like text, from poetry to programming code. Trained using troves of internet data, these machine-learning ...
Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...
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Autobot platform uses machine learning to rapidly find best ways to make advanced materials
A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...
Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these ...
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