Science

A new framework enhances time-series forecasting by focusing on aligning learned representations with the deviations most relevant to accurate predictions.

Researchers are leveraging deep learning and transfer learning to accurately estimate risk-neutral densities even in severely illiquid options markets where data is scarce.

A new benchmark assesses whether intelligent agents can navigate the complexities of live financial trading.

A new approach efficiently identifies the most crucial connections within transformer models, drastically reducing computational demands without sacrificing performance.

Researchers have demonstrated a novel attack that exploits the creative reasoning of large language models to generate prompts that bypass safety filters in text-to-image systems.

A new index reveals a concerning trend: despite growing power, major AI companies are becoming less transparent about the models shaping our future.

A new pipeline offers a comprehensive approach to detecting and mitigating harmful biases embedded in the textual data used to train large language models.

A new benchmark reveals that current AI-generated video detection systems heavily rely on watermarks and can be easily bypassed when those patterns are removed or manipulated.

A new machine learning framework moves beyond tackles and interceptions to comprehensively assess the true impact of defensive players.

A new technique boosts the reasoning abilities of AI agents by strategically introducing challenging examples during reinforcement learning.