Science

Researchers have created a rigorous benchmark to evaluate how well AI can identify deepfakes and, crucially, explain why it made that determination.

Researchers are pioneering a system that seamlessly blends advertising into AI-generated text, moving beyond traditional ad placement.

A novel machine learning framework leverages the power of galaxy data to unlock accurate cosmological insights, even across different simulation types.

New research reveals how conspiratorial beliefs aren’t confined to echo chambers, but woven into everyday conversations on Singaporean Telegram groups.

New research reveals a significant performance drop-off when applying deep learning and large language models to detect vulnerabilities in real-world code.

New research shows that combining cognitive principles with agent-based systems yields more reliable long-form content than simply increasing model size.

A new review reveals that data quality, implementation, and financial expertise are more critical to successful reinforcement learning in finance than sophisticated algorithmic design.

Even when grounded in structured knowledge, large language models can still generate factually incorrect information – this research explores why and offers a new approach to detecting these ‘hallucinations’.

A new approach uses reinforcement learning to significantly reduce factual errors and improve the consistency of answers from large language models, across both quick queries and in-depth explanations.

A new approach combines reinforcement learning and equilibrium concepts to optimize investment portfolios even when faced with sudden, unpredictable market shifts.