New research showcases how advanced artificial intelligence models are significantly enhancing the accuracy of short-term solar irradiance predictions, paving the way for a more stable and efficient renewable energy grid.
A new deep learning approach frames change detection in satellite imagery as a problem of predicting future surface reflectance, identifying anomalies through discrepancies between prediction and observation.
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A new study comprehensively evaluates 16 techniques for correcting errors and improving the reliability of deep learning models.
This review explores how incorporating detailed user understanding – through techniques like Know Your Customer (KYC) analysis – is driving a new generation of recommendation systems capable of enhanced accuracy, diversity, and serendipity.
A new approach to large language model training is delivering improved performance on complex financial reasoning tasks.
Artificial intelligence is rapidly improving the speed and accuracy of lung disease detection, offering the potential for earlier diagnoses and improved patient outcomes.
A new reinforcement learning framework balances high returns with robust risk management in the fast-paced world of futures trading.
A new framework reveals hidden human-driven patterns within time-series, enhancing forecasting and providing deeper insights into underlying dynamics.
A new approach combines diverse knowledge sources to significantly improve the ability of artificial intelligence to answer complex financial questions.
A new study explores how generative AI can be used to build stronger investment portfolios, but finds its effectiveness is tied to market stability.