arXiv:2312.10424v4 Announce Type: replace-cross Abstract: We derive uniform all-time concentration bound of the type ‘for all $n geq n_0$ for some $n_0$’ for TD(0) with linear function approximation. We work with online TD learning with samples from a single sample path of the underlying Markov chain. This makes our analysis significantly different from offline TD learning or TD learning with access to independent samples from the stationary distribution of the Markov chain. We treat TD(0) as a contractive […]

Ver mais

Hi everyone, I have a question some of you may be able to help me with. I’m a physician with a background in EE/CS and have been working in ML/AI for the past 12 years or so (cancer genomics, mostly). I’m now working at a large academic hospital in the US, doing research in clinical AI (not only LLMs but NN/ML in general). I have my own research workstation with a few GPUs and do my own work. […]

Ver mais

Big data is transforming banking by enabling deep customer insight and hyper-personalized services. By analyzing transaction histories, demographics, and digital behavior with machine learning, banks can predict churn, improve engagement, and tailor offerings. Research shows personalization boosts satisfaction, reduces churn by half, and is becoming essential for competitive, customer-centric banking.

Ver mais

We establish the estimation of solutions of two classes of weakly singular Wendroff-type integral inequalities of multiple variables with multiple nonlinear terms, apply them to fractional partial differential equations, and give the proof procedures for uniqueness, boundedness and continuous dependence.

Ver mais

California’s recent wildfires were fought by over 780 inmate firefighters who received rigorous taxpayer-funded training. But until recent reforms, many of these trained firefighters faced insurmountable barriers to employment after release—state licensing laws blocked them from the very careers they’d prepared for. lead , Cato scholar Stephen Slivinski examines this issue in a new Washington Post opinion piece, revealing how occupational licensing laws create employment barriers for 70 million Americans with criminal records. The evidence is clear: employment is […]

Ver mais

arXiv:2012.07784v2 Announce Type: replace Abstract: Inference and forecast problems of the nonlinear dynamical system have arisen in a variety of contexts. Reservoir computing and deep sequential models, on the one hand, have demonstrated efficient, robust, and superior performance in modeling simple and chaotic dynamical systems. However, their innate deterministic feature has partially detracted their robustness to noisy system, and their inability to offer uncertainty measurement has also been an insufficiency of the framework. On the other hand, the […]

Ver mais

Mistral AI has released Mistral OCR 3, its latest optical character recognition service that powers the company’s Document AI stack. The model, named as mistral-ocr-2512, is built to extract interleaved text and images from PDFs and other documents while preserving structure, and it does this at an aggressive price of $2 per 1,000 pages with a 50% discount when used through the Batch API. What Mistral OCR 3 is Optimized for? Mistral OCR 3 targets typical enterprise document […]

Ver mais

arXiv:2601.03385v1 Announce Type: new Abstract: The rapid adoption of synthetic data for training Large Language Models (LLMs) has introduced the technical challenge of “model collapse”-a degenerative process where recursive training on model-generated content leads to a contraction of distributional variance and representational quality. While the phenomenology of collapse is increasingly evident, rigorous methods to quantify and predict its onset in high-dimensional spaces remain elusive. In this paper, we introduce SIGMA (Spectral Inequalities for Gram Matrix Analysis), a unified […]

Ver mais

The failure wasn’t technical When you’re responsible for rolling out AI inside a company, it’s easy to focus on the visible parts. Models. Connectors. Retrieval. Permissions. Latency. That’s the work everyone sees. But that’s not why my rollout struggled. It didn’t fail because the system was broken. It failed because I was designing AI for teams instead of with them. At Nextdoor, our early Work AI rollout stalled even though the technology was solid. Accuracy was fine. Performance […]

Ver mais

Introduction In the beginning of my PhD, I had a series of conversations with PhD students and academics about how to keep track of everything during a PhD. Some of these discussions were motivated by the 2018 Workshop of being a Good Citizen of CVPR. This inspired me to start thinking properly about how to organize and eventually document my PhD work. In retrospective, I think this was one of my better decisions. Only recently, at the Heidelberg […]

Ver mais