Measurement for Opaque Systems: Multi-source Triangulation with Interpretable Machine Learning
arXiv:2602.00022v1 Announce Type: new
Abstract: We propose a measurement framework for difficult-to-access contexts that uses indirect data traces, interpretable machine-learning models, and theory-guided triangulation to fill inaccessible measurement spaces. Many high-stakes systems of scientific ...
ELLMPEG: An Edge-based Agentic LLM Video Processing Tool
arXiv:2602.00028v1 Announce Type: new
Abstract: Large language models (LLMs), the foundation of generative AI systems like ChatGPT, are transforming many fields and applications, including multimedia, enabling more advanced content generation, analysis, and interaction. However, cloud-based LLM dep...
RAPTOR-AI for Disaster OODA Loop: Hierarchical Multimodal RAG with Experience-Driven Agentic Decision-Making
arXiv:2602.00030v1 Announce Type: new
Abstract: Effective humanitarian assistance and disaster relief (HADR) requires rapid situational understanding, reliable decision support, and the ability to generalize across diverse and previously unseen disaster contexts. This work introduces an agentic Ret...
Scalable and Secure AI Inference in Healthcare: A Comparative Benchmarking of FastAPI and Triton Inference Server on Kubernetes
arXiv:2602.00053v1 Announce Type: new
Abstract: Efficient and scalable deployment of machine learning (ML) models is a prerequisite for modern production environments, particularly within regulated domains such as healthcare and pharmaceuticals. In these settings, systems must balance competing req...
Learning to Price: Interpretable Attribute-Level Models for Dynamic Markets
arXiv:2602.00188v1 Announce Type: new
Abstract: Dynamic pricing in high-dimensional markets poses fundamental challenges of scalability, uncertainty, and interpretability. Existing low-rank bandit formulations learn efficiently but rely on latent features that obscure how individual product attribu...
From Gameplay Traces to Game Mechanics: Causal Induction with Large Language Models
arXiv:2602.00190v1 Announce Type: new
Abstract: Deep learning agents can achieve high performance in complex game domains without often understanding the underlying causal game mechanics. To address this, we investigate Causal Induction: the ability to infer governing laws from observational data, ...
Localizing and Correcting Errors for LLM-based Planners
arXiv:2602.00276v1 Announce Type: new
Abstract: Large language models (LLMs) have demonstrated strong reasoning capabilities on math and coding, but frequently fail on symbolic classical planning tasks. Our studies, as well as prior work, show that LLM-generated plans routinely violate domain const...
Discover the Sora feed philosophy—built to spark creativity, foster connections, and keep experiences safe with personalized recommendations, parental controls, and strong guardrails.
A Reinforcement Learning Based Universal Sequence Design for Polar Codes
To advance Polar code design for 6G applications, we develop a reinforcement learning-based universal sequence design framework that is extensible and adaptable to diverse channel conditions and decoding strategies. Crucially, our method scales to code lengths up to 2048, making it suitable for use ...
Elon Musk’s SpaceX officially acquires Elon Musk’s xAI, with plan to build data centers in space
The merger creates the world's most valuable private company, and paves the way for Musk to try and prove out the usefulness of space-based data centers.
Google Releases Conductor: a context driven Gemini CLI extension that stores knowledge as Markdown and orchestrates agentic workflows
Google has introduced Conductor, an open source preview extension for Gemini CLI that turns AI code generation into a structured, context driven workflow. Conductor stores product knowledge, technical decisions, and work plans as versioned Markdown inside the repository, then drives Gemini agents fr...
OpenAI has released a new MacOS app for Codex, integrating many of the agentic coding practices that have become popular since Codex launched last year.
Sara Nobrega on the transition from data science to AI engineering, using LLMs as a bridge to DevOps, and the one engineering skill junior data scientists need to stay competitive.
The post Building Systems That Survive Real Life appeared first on Towards Data Science.
ZEDEDA, the leader in edge orchestration, today announced significant momentum to close out 2025, driven by a surge in strategic enterprise adoption. The company doubled new customer acquisition year-over-year, with nearly half of those customers representing Fortune or Global 500 organizations. Thi...
GAMP Services Chooses ValGenesis to Lead Its Shift to Digital Validation
ValGenesis, Inc., the global leader in enterprise digital validation and compliance solutions, today announced that GAMP Services Private Limited, a technology and consulting firm based in India, has selected the ValGenesis platform to digitalize its computer system validation (CSV) and commissionin...
Demystifying the concept of a parameter in machine learning: what they are, how many parameters a model has, and what could possibly go wrong when learning them.
Coalition demands federal Grok ban over nonconsensual sexual content
Nonprofits urge the U.S. government to suspend Grok in federal agencies after the xAI chatbot generated thousands of nonconsensual sexual images, raising national security and child safety concerns.
CyberlinkASP Completes Acquisition of Fresh Managed IT
CyberlinkASP (“Cyberlink”), a trusted Advanced Solutions Provider for small and mid-size businesses specializing in cloud and IT solutions, today announced that it has acquired Fresh Managed IT (“Fresh IT”). Fresh IT offers outsourced IT services to small and mid-size businesses, including network a...
AI News Weekly - Issue #463: All about The "Moltbook" Phenomenon - Feb 2nd 2026
In the News
All about The "Moltbook / Clawdbot" Phenomenon
The internet has a new "front page," but humans aren't invited. Moltbook, a "Reddit for AI Agents," exploded to viral status this week, creating a closed loop where agents formed a "Lobster Religion" and sparked a spec...
LogicGate Celebrates Landmark Year with Industry Recognition and Growth
Leadership recognition, continued enterprise growth, and category-defining Intentional AI combine to make 2025 LogicGate’s strongest year yet LogicGate, the leading AI-powered GRC platform for the Enterprise, today announced that the company has achieved a milestone 2025, including recognition as an...