A new study investigates whether modern computer vision techniques, specifically Vision Transformers and Convolutional Neural Networks, can accurately identify motifs on ancient Roman coins.
New research reveals a sophisticated adversarial strategy leveraging artificial intelligence to compromise critical infrastructure undetected by existing AI-powered security measures.
A new approach combines the power of large language models with deep reinforcement learning to optimize resource management in Low Earth Orbit satellite communications.
New research reveals how carefully crafted prompts can unlock significant gains in large language models’ ability to understand sentiment and detect nuance like irony.
New research reveals a hidden mechanism behind the surprisingly robust performance of deep neural networks, even when overfitted to noisy data.
New research reveals the surprisingly fragile foundations of algorithms designed to identify text written by artificial intelligence.
![An agent navigating a multiplicative dynamic optimizes wealth by selecting between safe and risky actions, where repetitions in action selection-returning updated wealth to the state-manage non-ergodic contexts, and differing optimization strategies-based on expected values versus growth rates-predict distinct indifference points between the two actions, [latex]p_E[/latex] and [latex]p_T[/latex], respectively.](https://arxiv.org/html/2601.08726v1/figures/GenericMultipleLogistic.png)
New research reveals why standard reinforcement learning agents falter in constantly changing situations and proposes a surprisingly simple fix.
A new study reveals that current deepfake detection methods often falter when faced with real-world conditions and subtle manipulations.
A new multi-agent system leverages the power of large language models to detect and mitigate manipulation in the volatile world of memecoin copy trading.
Researchers are exploring whether incorporating common human cognitive biases into artificial intelligence trading agents can improve financial decision-making.