One of the most common blood tests in the world, CBC tests are run billions of times each year, can be imprecise. Experts are ...
Instead of finding true medical insights, these algorithms sometimes rely on irrelevant factors — leading to misleading ...
Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...
SEC officials have declared artificial intelligence (“AI”) “the most transformative technology of our times” while cautioning that “if a ...
Meta Platforms (META) launched AI model Meta Motivo for human-like digital agents, which has the potential to enhance the ...
Himanshu Sinha is a globally recognized thought leader in AI and data science, currently serving as the Director of Advanced ...
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Identifying and Mitigating Bias in Machine Learning ModelsA new MIT technique improves machine learning by removing key biased data points, boosting model performance for minority ...
Gaps remain, but the broad integration of data from design through manufacturing, test, and assembly holds promise for ...
Traditionally, clinicians determine what are called reference intervals by measuring a blood test in a range of healthy people. They usually take the middle 95% of these healthy values and call that ...
Machine learning algorithms are a powerful tool for detecting anomalies in network traffic structure. In this way they can ...
The agency’s chief AI and chief information officer pulls back the curtain on how the securities regulator is embracing the ...
AI can predict human intelligence by looking at the connections of a working human brain. Neuroscientists can predict ...
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