Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...
The UNLV Runnin' Rebels have a must-win game tonight on the road against the Fresno State Bulldogs. UNLV has dropped three games in a row, and are now looking t ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, this means volatility is not constant. Most pricing and forecasting models ...
A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...
Educational platform announces expanded course programme addressing critical thinking, responsible use, and AI ...
Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...
Quick Summary ChatGPT thinks Cloudlfare stock could trade lower over the next 60 days, projecting an average price around $168 by mid-April. Investors looking to trade the stock can build exposure ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.
Researchers introduced AdditiveGDL, a generative deep learning method that predicts local thermal distributions across metal ...
World models are AI systems that understand physics, space, and cause-and-effect—unlike chatbots that only predict text. Tech ...
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