For years, markets were trained to react to loud signals. Rate hikes, stimulus announcements, earnings surprises, geopolitical shocks — anything visible, quantifiable, and immediate shaped expectations and positioning. But the environment we are entering looks very different. Many of the forces shaping economic outcomes today are quiet, gradual, and difficult to price. They do not arrive as breaking news. They accumulate. And because they lack drama, they are often underestimated until their effects become unavoidable. This shift helps […]

Ver mais

arXiv:2604.04952v1 Announce Type: new Abstract: Ransomware and DDoS attacks disproportionately impact hospitals, schools, and small organizations that cannot afford enterprise security solutions. We present ML Defender (aRGus NDR), an open-source network intrusion detection system built in C++20, deployable on commodity hardware at approximately 150-200 USD. ML Defender implements a six-component pipeline over eBPF/XDP packet capture, ZeroMQ transport, and Protocol Buffers serialization, combining a rule-based Fast Detector with an embedded Random Forest classifier. The Maximum Threat Wins policy selects […]

Ver mais

The rapid expansion of online shopping has increased the demand for timely parcel delivery, compelling logistics service providers to enhance the efficiency, agility, and predictability of their hub networks. In order to solve the problem, we propose a novel deep learning-based ensemble framework that leverages historical arrival patterns and real-time parcel status updates to forecast upcoming workloads at logistic hubs. This approach not only facilitates the generation of short-term forecasts, but also improves the accuracy of future hub […]

Ver mais

Most engineering teams treat documentation as a manual chore, leading to “knowledge silos” and grueling onboarding cycles. While tools like Notion and Confluence are great for general notes, they fail to capture the “why” behind code automatically. To scale without losing context, teams need a system that treats documentation as a byproduct of work, linking technical decisions, meeting insights, and code commits into a living knowledge graph. The Problem: Your Wiki is Where Knowledge Goes to Die We’ve all […]

Ver mais

arXiv:2602.09130v1 Announce Type: new Abstract: Model compression is increasingly essential for deploying large language models (LLMs), yet existing evaluations are limited in method coverage and focus primarily on knowledge-centric benchmarks. Thus, we introduce UniComp, a unified evaluation framework for comparing pruning, quantization, and knowledge distillation. UniComp evaluates compressed models along three dimensions: performance, reliability, and efficiency, using a diverse set of capability- and safety-oriented benchmarks together with a hardware-aware efficiency analysis. Through extensive evaluation of six compression techniques […]

Ver mais

arXiv:2604.09688v1 Announce Type: new Abstract: Recent large-scale generative models enable high-quality 3D synthesis. However, the public accessibility of pre-trained weights introduces a critical vulnerability. Adversaries can fine-tune these models to steal specialized knowledge acquired during pre-training, leading to intellectual property infringement. Unlike defenses for 2D images and language models, 3D generators require specialized protection due to their explicit Gaussian representations, which expose fundamental structural parameters directly to gradient-based optimization. We propose GaussLock, the first approach designed to defend […]

Ver mais

As AI agents move from prototypes to production systems, a recurring challenge has emerged: how do you enforce safety, optimize performance, and handle sensitive data consistently across every inference call — without scattering that logic throughout your agent code? This is the problem we set out to solve with AutoAgents, an open-source AI agent framework written in Rust. Our latest feature, LLM Pipelines, introduces composable middleware layers for LLM inference — an approach inspired by how the web […]

Ver mais