The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
2don MSN
Machine learning model predicts serious transplant complications months before symptoms appear
A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...
A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...
Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...
In the ChatGPT era, a war over the nature of intelligence is playing out. Chris Stokel-Walker explores a Princeton ...
Two researchers advocate for new AI-based measures not because they offer measurement free from error, but rather because they avoid specific problematic forms of error linked to overreliance on ...
By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.
Personnel won't be able to fully process all the data available on the modern battlefield. That's where artificial ...
Schema fit enables hard ideas to click, learn assimilation vs accommodation and use pattern testing to understand faster ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results