Pragmatic Curiosity: A Hybrid Learning-Optimization Paradigm via Active Inference
arXiv:2602.06104v1 Announce Type: new
Abstract: Many engineering and scientific workflows depend on expensive black-box evaluations, requiring decision-making that simultaneously improves performance and reduces uncertainty. Bayesian optimization (BO) and Bayesian experimental design (BED) offer po...
Private and interpretable clinical prediction with quantum-inspired tensor train models
arXiv:2602.06110v1 Announce Type: new
Abstract: Machine learning in clinical settings must balance predictive accuracy, interpretability, and privacy. Models such as logistic regression (LR) offer transparency, while neural networks (NNs) provide greater predictive power; yet both remain vulnerable...
arXiv:2602.06107v1 Announce Type: new
Abstract: Reinforcement learning (RL) for large language models (LLMs) remains expensive, particularly because the rollout is expensive. Decoupling rollout generation from policy optimization (e.g., leveraging a more efficient model to rollout) could enable sub...
arXiv:2602.06176v1 Announce Type: new
Abstract: Large Language Models (LLMs) have exhibited remarkable reasoning capabilities, achieving impressive results across a wide range of tasks. Despite these advances, significant reasoning failures persist, occurring even in seemingly simple scenarios. To ...
Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning (Extended Version)
arXiv:2602.06227v1 Announce Type: new
Abstract: In this work, we propose a novel framework for the logical specification of non-Markovian rewards in Markov Decision Processes (MDPs) with large state spaces. Our approach leverages Linear Temporal Logic Modulo Theories over finite traces (LTLfMT), a ...
Do LLMs Act Like Rational Agents? Measuring Belief Coherence in Probabilistic Decision Making
arXiv:2602.06286v1 Announce Type: new
Abstract: Large language models (LLMs) are increasingly deployed as agents in high-stakes domains where optimal actions depend on both uncertainty about the world and consideration of utilities of different outcomes, yet their decision logic remains difficult t...
Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems
arXiv:2602.06319v1 Announce Type: new
Abstract: Large Reasoning Models (LRMs) have advanced rapidly; however, existing benchmarks in mathematics, code, and common-sense reasoning remain limited. They lack long-context evaluation, offer insufficient challenge, and provide answers that are difficult ...
ByteDance Releases Protenix-v1: A New Open-Source Model Achieving AF3-Level Performance in Biomolecular Structure Prediction
How close can an open model get to AlphaFold3-level accuracy when it matches training data, model scale and inference budget? ByteDance has introduced Protenix-v1, a comprehensive AlphaFold3 (AF3) reproduction for biomolecular structure prediction, released with code and model parameters under Apach...
Creating Ad copies and blog content, enabling data collection, optimizing campaigns, processing customer data to build detailed personas, and even automating your entire marketing workflow from lead nurturing to conversion tracking. AI is growing so fast that it can heavy-lift the majority of your m...
Google AI Introduces PaperBanana: An Agentic Framework that Automates Publication Ready Methodology Diagrams and Statistical Plots
Generating publication-ready illustrations is a labor-intensive bottleneck in the research workflow. While AI scientists can now handle literature reviews and code, they struggle to visually communicate complex discoveries. A research team from Google and Peking University introduce new framework ca...
Build an Agent with Nanobot, Lighter Replacement for OpenClaw
Virtual assistants in business are changing fast. Massive enterprise systems like OpenClaw pack hundreds of thousands of lines of code, but nanobot challenges the idea that bigger automatically means better. With just 4000 lines of Python, it delivers core AI assistant capabilities in a lightweight,...
NVIDIA AI releases C-RADIOv4 vision backbone unifying SigLIP2, DINOv3, SAM3 for classification, dense prediction, segmentation workloads at scale
How do you combine SigLIP2, DINOv3, and SAM3 into a single vision backbone without sacrificing dense or segmentation performance? NVIDIA’s C-RADIOv4 is a new agglomerative vision backbone that distills three strong teacher models, SigLIP2-g-384, DINOv3-7B, and SAM3, into a single student encoder. It...
Waymo Introduces the Waymo World Model: A New Frontier Simulator Model for Autonomous Driving and Built on Top of Genie 3
Waymo is introducing the Waymo World Model, a frontier generative model that drives its next generation of autonomous driving simulation. The system is built on top of Genie 3, Google DeepMind’s general-purpose world model, and adapts it to produce photorealistic, controllable, multi-sensor driving ...
For a few days this week the hottest new hangout on the internet was a vibe-coded Reddit clone called Moltbook, which billed itself as a social network for bots. As the website’s tagline puts it: “Where AI agents share, discuss, and upvote. Humans welcome to observe.” We observed! Launched on Januar...
Armada & Nscale Team Up for Global Sovereign AI Infrastructure
Despite Growing Adoption of WAAP Platforms, Specialized Client-Side Protection Solutions Remain Essential for Critical Security and Compliance Needs, Such as PCI DSS v4 Jscrambler, the pioneering platform for client-side protection and compliance, today announced its inclusion in the Forrester repor...
Goodfire Raises $150M to Advance AI Model Interpretability
Today, Goodfire—the AI research lab using interpretability to understand, learn from, and design models—announced a $150 million Series B funding round at a $1.25 billion valuation. The round was led by B Capital, with participation from existing investors Juniper Ventures, Menlo Ventures, Lightspee...
Cyberhaven Research Highlights Urgent Need for AI Data Governance
Research reveals growing gaps between AI experimentation and risk patterns as usage deepens across business workflows Enterprise use of AI is expanding rapidly across development, operations, and knowledge work, but new research shows these changes in behavior are creating new data risks that legac...
GPT-5.3-Codex represents a new generation of the Codex model built to handle real, end-to-end work. Instead of focusing only on writing code, it combines strong coding ability with planning, reasoning, and execution. The model runs faster than earlier versions and handles long, multi-step tasks invo...
Optimizely Named Leader in 2026 Gartner Personalization MQ
Company recognized as a Leader for the second consecutive year Optimizely, the leading digital experience platform (DXP) provider, today announced it has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Personalization Engines. This marks the second consecutive year that Optimizely has r...
Domino Data Lab Taps Admiral Grady to Lead Public Sector AI
Grady’s appointment and new Public Sector GVP follow record industry revenue growth from scaling proven AI systems operations across government missions Domino Data Lab, provider of the leading enterprise AI platform trusted by the largest AI-driven enterprises and major government agencies, today a...
Prompt Fidelity: Measuring How Much of Your Intent an AI Agent Actually Executes
How much of your AI agent's output is real data versus confident guesswork?
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