Simulating the Real World of High-Frequency Trading
![The quantile regression (QR) model failed to detect any discernible impact on the average price path surrounding a simulated metaorder, as evidenced by a distribution of inter-event times [latex]\Delta t[/latex] that aligns between empirical data (blue) and the QR prediction (green).](https://arxiv.org/html/2603.24137v1/x12.png)
New research tackles the challenges of accurately modeling limit order books to better evaluate trading strategies in dynamic markets.
Science
Brain-Inspired AI Hones in on Deepfake Audio
Researchers are leveraging principles of neuroplasticity to create more efficient and accurate deepfake audio detection systems.
Splattered Reality: How Easily Can 3D Gaussian Splatting Be Fooled?
![Even imperceptible adversarial perturbations, generated through an attack like [latex]PGD[/latex], demonstrably degrade the reconstruction quality of a feed-forward 3D Gaussian Splatting model-specifically, the NoPoSplat implementation on the RE10K dataset-as evidenced by diminished performance metrics like normalized Peak Signal-to-Noise Ratio (PSNR) and qualitative visual artifacts in newly rendered views, despite utilizing multiple reference views.](https://arxiv.org/html/2603.23686v1/x1.png)
A new study reveals that even subtle, carefully crafted disturbances can significantly degrade the quality of reconstructions from feed-forward 3D Gaussian Splatting models.
Beyond Retrieval: Why Better Data Doesn’t Always Mean Better Answers
A new study reveals that improving data retrieval in AI systems doesn’t guarantee more accurate responses, especially when dealing with complex policy questions.
The Hidden Geometry of Deep Learning
New research reveals that training ReLU neural networks can be reframed as a convex optimization problem, unlocking theoretical benefits and improved training stability.
Predicting the Next Outbreak: Data Synthesis Boosts Forecasting
New research shows that combining artificially generated data with genetic insights significantly improves the accuracy of infectious disease predictions.
Telegram’s Bot Problem: A Network of Illicit Activity
A comprehensive study reveals the vast scale of Telegram bots and their growing role in facilitating fraud, data leaks, and other cybercrimes.
Tracking Wildlife with Artificial Intelligence
A new review explores how deep learning is transforming our ability to understand animal movement and habitat preferences.
Beyond Rationality: Smarter Demand Forecasting with Behavioral Economics
![For a population subjected to the GARP 50K challenge-assessed at a difficulty level of [latex]H=10[/latex]-a consumer-level cognitive-emotional intelligence index (CCEI) serves as a clear differentiator, with those achieving perfect scores ([latex]CCEI=1[/latex]) demonstrably exceeding the fitness threshold required for success.](https://arxiv.org/html/2603.23993v1/x3.png)
New research shows that incorporating principles of revealed preference – even with imperfect consumer behavior – can significantly improve the accuracy of time-series forecasting models.
Let Markets Solve It: A New Algorithm for Complex Problems
Inspired by the principles of free-market economics, researchers have developed a novel optimization framework capable of discovering solutions in challenging and open-ended domains.