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Machines whisper before they scream: We built an AI model that predicts expensive problems
In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined ...
A deep-learning model called Geneformer has been developed and pretrained using about 30 million single-cell gene-expression profiles to enable it to make predictions about gene-network biology in ...
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Machine learning reveals how disordered protein regions contribute to cancer-causing condensates
Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...
There is some uncertainty around the timeline to value with agentic AI. The lack of clarity owes largely to the velocity of ...
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...
Vangalapat led the development of a comprehensive MLOps infrastructure at Broadridge, building CI/CD pipelines, automated ...
Pricing continues to be one of the most crucial decisions retailers face. Set prices too high, and customers drift away; too ...
When people hear “artificial intelligence,” many envision “big data.” There’s a reason for that: some of the most prominent AI breakthroughs in the past decade have relied on enormous data sets. Image ...
Jordan Awan receives funding from the National Science Foundation and the National Institute of Health. He also serves as a privacy consultant for the federal non-profit, MITRE. In statistics and ...
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