A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent ...
By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...
Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.
Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...
The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...
Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...
A research team has mapped how machine learning is transforming the global tea industry, revealing that data-driven technologies now enhance tea cultivation, harvesting, processing, and quality ...
This guide shows how TPUs crush performance bottlenecks, reduce training time, and offer immense scalability via Google Cloud ...
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This common action is putting you at risk of being deepfaked
As we move further into the Computer Age, fake news, digital deceit and widespread use of social media are having a profound ...
Inspired by how the human brain consolidates memory, the 'Nested Learning' framework allows different parts of a model to ...
As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...
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