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 ...
Causal AI transforms key areas of manufacturing by revealing what happens and why. In predictive maintenance, it shifts focus ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. Sixty-five years ago, Arthur Samuel went on TV to show the world ...
After talking to machine learning and infrastructure engineers at major Internet companies across the US, Europe, and China, two groups of companies emerged. One group has invested hundreds of ...
RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
Enterprises accelerated their adoption of AI and machine learning in 2020, concentrating on those initiatives that deliver revenue growth and cost reduction. Consistent with many other surveys of ...
Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...
Machine learning is the process by which computer programs grow from experience. This isn’t science fiction, where robots advance until they take over the world. When we talk about machine learning, ...
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