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.
A new wave of fraud detection techniques leveraging graph neural networks is emerging to protect ride-hailing platforms and their users.
A new framework leverages federated learning and graph analysis to connect fragmented data and dramatically improve anti-money laundering efforts.
New research demonstrates that structured discussion among diverse artificial intelligence systems can significantly improve the accuracy of predictions.