MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
arXiv:2603.20295v1 Announce Type: new
Abstract: Uncovering causal structures from observational data is crucial for understanding complex systems and making informed decisions. While reinforcement learning (RL) has shown promise in identifying these structures in the form of a directed acyclic grap...
Collaborative Adaptive Curriculum for Progressive Knowledge Distillation
arXiv:2603.20296v1 Announce Type: new
Abstract: Recent advances in collaborative knowledge distillation have demonstrated cutting-edge performance for resource-constrained distributed multimedia learning scenarios. However, achieving such competitiveness requires addressing a fundamental mismatch: ...
Rolling-Origin Validation Reverses Model Rankings in Multi-Step PM10 Forecasting: XGBoost, SARIMA, and Persistence
arXiv:2603.20315v1 Announce Type: new
Abstract: (a) Many air quality forecasting studies report gains from machine learning, but evaluations often use static chronological splits and omit persistence baselines, so the operational added value under routine updating is unclear.
(b) Using 2,350 dail...
Meta AI’s New Hyperagents Don’t Just Solve Tasks—They Rewrite the Rules of How They Learn
The dream of recursive self-improvement in AI—where a system doesn’t just get better at a task, but gets better at learning—has long been the ‘holy grail’ of the field. While theoretical models like the Gödel Machine have existed for decades, they remained largely impractical in real-world settings....
Luma Labs Launches Uni-1: The Autoregressive Transformer Model that Reasons through Intentions Before Generating Images
In the field of generative AI media, the industry is transitioning from purely probabilistic pixel synthesis toward models capable of structural reasoning. Luma Labs has just released Uni-1, a foundational image model designed to address the ‘intent gap” inherent in standard diffusion pipelines. By ...
Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs
Large Language Models (LLMs) often lack meaningful confidence estimates for their outputs. While base LLMs are known to exhibit next-token calibration, it remains unclear whether they can assess confidence in the actual meaning of their responses beyond the token level. We find that, when using a ce...
Scaling Synthetic Task Generation for Agents via Exploration
Post-Training Multimodal Large Language Models (MLLMs) to build interactive agents holds promise across domains such as computer-use, web navigation, and robotics. A key challenge in scaling such post-training is lack of high-quality downstream agentic task datasets with tasks that are diverse, feas...
If you're attending Google Cloud Next 2026 in Las Vegas this year and working on agent development, here's what we have planned.Visit Us at Booth #5006We'll be at Booth #5006 in the Expo Hall at the Mandalay Bay Convention Center, April 22-24.
LangSmith Fleet introduces two types of agent authorization: Assistants, which use the end user's own credentials, and Claws, which use a fixed set of credentials.
Teleport Launches Beams, Trusted Agent Runtimes For Infrastructure
Teleport today announced Beams, a trusted runtime designed to solve the security and IAM challenges blocking teams from designing and running AI agents in production infrastructure. Beams runs each agent in an isolated Firecracker VM with built-in identity. Each Beam has policy-controlled, tracked, ...
4 Pandas Concepts That Quietly Break Your Data Pipelines
Master data types, index alignment, and defensive Pandas practices to prevent silent bugs in real data pipelines.
The post 4 Pandas Concepts That Quietly Break Your Data Pipelines appeared first on Towards Data Science.
Littlebird raises $11M for its AI-assisted ‘recall’ tool that reads your computer screen
Littlebird is building an AI that reads your screen in real time to capture context, answer questions, and automate tasks, without relying on screenshots.
Rafay Systems, DataDirect Networks Partner to Support AI Infra Deploymentsv
Collaboration focused on helping enterprises and neocloud providers operationalize large-scale AI environments Rafay Systems, a provider of infrastructure platform services for modern compute environments, and DataDirect Networks (DDN), a global leader in AI and data intelligence platforms, today an...
Elizabeth Warren calls Pentagon’s decision to bar Anthropic ‘retaliation’
In a letter to Defense Secretary Pete Hegseth, Senator Elizabeth Warren (D-MA) equated the DoD's decision to label Anthropic a "supply chain risk" as retaliation, arguing that the Pentagon could simply have terminated its contract with the AI lab.
Are machines truly intelligent? AI researchers Subutai Ahmad and Nicolò Fusi join Doug Burger to compare transformer-based AI with the human brain, exploring continual learning, efficiency, and whether today’s models are on a path toward human intelligence.
The post Will machines ever be intelligent...
How Autonomous AI Agents Become Secure by Design With NVIDIA OpenShell
Autonomous agents mark a new inflection point in AI. Systems are no longer limited to generating responses or reasoning through tasks. They can take action: Agents can read files, use tools, write and run code, and execute workflows across enterprise systems, all while expanding their own capabiliti...
Your ML model predicts perfectly but recommends wrong actions. Learn the 5-question diagnostic, method comparison matrix, and Python workflow to fix it with causal inference.
The post Causal Inference Is Eating Machine Learning appeared first on Towards Data Science.
Neuro-Symbolic Fraud Detection: Catching Concept Drift Before F1 Drops (Label-Free)
This Article asks what happens next. The model has encoded its knowledge of fraud as symbolic rules. V14 below a threshold means fraud. What happens when that relationship starts to change?
Can the rules act as a canary? In other words: can neuro-symbolic concept drift monitoring work at inference t...
StorPool Storage, a leader in software-defined primary data storage solutions, today announced the launch of StorPool One. It is a fully integrated KVM-based cloud platform that helps organizations regain control of infrastructure costs while achieving enterprise-grade reliability and performance. S...