Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
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Moffitt researchers develop algorithm to predict cancer cell evolution
Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...
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Guardians vs. the algorithms: How Cleveland’s ‘system and belief’ keeps outperforming projections
CLEVELAND, Ohio — The numbers don’t lie – but they might not tell the whole truth either. That’s the central tension as the Guardians enter 2025 facing some of the most pessimistic statistical ...
Another key change over this timeframe was Instagram’s decision in 2019 to hide “likes” on posts. The thinking behind this decision was to try to reduce the pressure on account owners to make content ...
Amazon is renowned for its nearly infinite selection of goods, but the scale of its operations means that faulty products may slip through the cracks.
Cannabis is now entering a similar inflection point, where algorithms may shape what gets grown, how it’s sold, and who wins in a rapidly growing industry.
Rheumatologists share how they are using AI platforms for clinical documentation, reducing EHR time, streamlining workflows, ...
Job seekers feel ignored and filtered out by automated systems, while employers are overwhelmed by application volume and uncertain how to use AI responsibly in hiring. In this Today in Tech ...
The Trump administration has made the future of federal funding for cancer research uncertain. At one groundbreaking breast ...
Gen Z and Gen Alpha are growing up in a very different information world. Teens need to learn how to approach the news in ...
As the International Olympic Committee (IOC) rolls out AI-assisted judging at the Winter Olympics, how is this new technology set to revolutionise the sports industry?
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Financial word of the day: Heteroscedasticity — meaning, usage, and why it matters more than ever
Financial word of the day: Heteroscedasticity describes a situation where risk (variance) changes with the level of a ...
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