From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
A mother's health during pregnancy, childbirth and the postpartum period is the foundation of lifelong well-being, directly influencing a child's development and long-term outcomes, yet most ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own.
As profit season ramps up, companies like Orica and Worley are turning to AI and analysis to better communicate and offset ...
Overview: Senior machine learning engineers in tech earn $200,000–$350,000 for building large-scale production AI ...
AI tools are exposing hidden truths in art history, analyzing brushstrokes to reveal who really painted the world’s ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.
In 1854, London was struck by a devastating cholera outbreak. Public authorities responded using the best tools and scientific understanding available at the time.Disease was widely believed to spread ...
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 ...
The use of AI in pharmaceutical development is becoming widespread, but the rulebook is still being written.McKinsey reports that 71% of businesses across various industries now use generative AI, ...
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