NuHF Claw: A Risk Constrained Cognitive Agent Framework for Human Centered Procedure Support in Digital Nuclear Control Rooms
arXiv:2604.14160v1 Announce Type: new
Abstract: The rapid digitization of nuclear power plant main control rooms has fundamentally reshaped operator interaction patterns, introducing complex soft-control behaviors and elevated cognitive risks that are not adequately addressed by existing human reli...
Simulating Human Cognition: Heartbeat-Driven Autonomous Thinking Activity Scheduling for LLM-based AI systems
arXiv:2604.14178v1 Announce Type: new
Abstract: Large Language Model (LLM) agents have demonstrated remarkable capabilities in reasoning and tool use, yet they often suffer from rigid, reactive control flows that limit their adaptability and efficiency. Most existing frameworks rely on fixed pipeli...
Fun-TSG: A Function-Driven Multivariate Time Series Generator with Variable-Level Anomaly Labeling
arXiv:2604.14221v1 Announce Type: new
Abstract: Reliable evaluation of anomaly detection methods in multivariate time series remains an open challenge, largely due to the limitations of existing benchmark datasets. Current resources often lack fine-grained anomaly annotations, do not provide explic...
Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making
arXiv:2604.14240v1 Announce Type: new
Abstract: The simulation of complex systems increasingly relies on sophisticated but fundamentally opaque computational black-box simulators. Surrogate models play a central role in reducing the computational cost of complex systems simulations across a wide ra...
Formalizing Kantian Ethics: Formula of the Universal Law Logic (FULL)
arXiv:2604.14254v1 Announce Type: new
Abstract: The field of machine ethics aims to build Artificial Moral Agents (AMAs) to better understand morality and make AI agents safer. To do so, many approaches encode human moral intuition as a set of axioms on actions e.g., do not harm, you must help othe...
OpenAI Launches GPT-Rosalind: Its First Life Sciences AI Model Built to Accelerate Drug Discovery and Genomics Research
OpenAI has officially entered the specialized science race with GPT-Rosalind, a frontier reasoning model designed to slash the 10-15 year timeline of drug discovery through advanced biochemistry and genomic analysis.
The post OpenAI Launches GPT-Rosalind: Its First Life Sciences AI Model Built to Ac...
Building Transformer-Based NQS for Frustrated Spin Systems with NetKet
Learn how to combine Transformer architectures with Quantum Physics using NetKet and JAX. This guide walks through building a research-grade VMC pipeline to solve the frustrated J1-J2 Heisenberg spin chain with Neural Quantum States.
The post Building Transformer-Based NQS for Frustrated Spin System...
Physical Intelligence, a hot robotics startup, says its new robot brain can figure out tasks it was never taught
The new model, called π0.7, represents what the company describes as an early but meaningful step toward the long-sought goal of a general-purpose robot brain.
OpenAI Announces GPT-5.4-Cyber But You Can’t Get it Just Yet
The question around AI, and I mean the pinnacle of AI, not your regular “write me an email”, is shifting. What used to be “what can it do for me?” has now become “who gets to use it?” We saw this recently with Anthropic’s Claude Mythos Preview – a supposed epitome of AI models that […]
The post Open...
The upstream decision no model, or LLM can fix once you get it wrong
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InsightFinder raises $15M to help companies figure out where AI agents go wrong
According to CEO Helen Gu, the biggest problem facing the industry today is not just monitoring and diagnosing where AI models go wrong, it's diagnosing how the entire tech stack operates now that AI is a part of it.
Building My Own Personal AI Assistant: A Chronicle, Part 2
Building a personal AI assistant is rarely a single, monolithic effort. In this piece, I walk through my latest addition: a task breaker module that decomposes complex goals into structured, actionable steps — and why that single component changed how I think about AI-driven productivity.
The post B...
Everyone is talking about Claude Code. With millions of weekly downloads and a rapidly expanding feature set, it has quietly become one of the most powerful tools in a developer's arsenal. But most people are barely scratching the surface.
memweave: Zero-Infra AI Agent Memory with Markdown and SQLite — No Vector Database Required
The problem with agent memory today
The post memweave: Zero-Infra AI Agent Memory with Markdown and SQLite — No Vector Database Required appeared first on Towards Data Science.
No Need for Space Gear — Capcom’s ‘PRAGMATA’ Joins GeForce NOW on Launch Day
Head straight for orbit with GeForce NOW — no space helmet required. PRAGMATA, Capcom’s long-awaited sci-fi action adventure, touches down on GeForce NOW the same day it launches worldwide. The futuristic journey through a cold lunar station in the near future can be streamed instantly from the clo...
There’s a fault line running through enterprise AI, and it’s not the one getting the most attention. The public conversation still tracks foundation models and benchmarks — GPT versus Gemini, reasoning scores, and marginal capability gains. But in practice, the more durable advantage is structural: ...
Introduction to Deep Evidential Regression for Uncertainty Quantification
Machine learning models can be confident even when they shouldn't be. This article introduces Deep Evidential Regression (DER), a method that lets neural networks rapidly express what they don't know.
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