Real-Time AI Service Economy: A Framework for Agentic Computing Across the Continuum
arXiv:2603.05614v1 Announce Type: new
Abstract: Real-time AI services increasingly operate across the device-edge-cloud continuum, where autonomous AI agents generate latency-sensitive workloads, orchestrate multi-stage processing pipelines, and compete for shared resources under policy and governa...
RoboLayout: Differentiable 3D Scene Generation for Embodied Agents
arXiv:2603.05522v1 Announce Type: new
Abstract: Recent advances in vision language models (VLMs) have shown strong potential for spatial reasoning and 3D scene layout generation from open-ended language instructions. However, generating layouts that are not only semantically coherent but also feasi...
Autocorrelation effects in a stochastic-process model for decision making via time series
arXiv:2603.05559v1 Announce Type: new
Abstract: Decision makers exploiting photonic chaotic dynamics obtained by semiconductor lasers provide an ultrafast approach to solving multi-armed bandit problems by using a temporal optical signal as the driving source for sequential decisions. In such syste...
IntSeqBERT: Learning Arithmetic Structure in OEIS via Modulo-Spectrum Embeddings
arXiv:2603.05556v1 Announce Type: new
Abstract: Integer sequences in the OEIS span values from single-digit constants to astronomical factorials and exponentials, making prediction challenging for standard tokenised models that cannot handle out-of-vocabulary values or exploit periodic arithmetic s...
arXiv:2603.05539v1 Announce Type: new
Abstract: We introduce VDCook: a self-evolving video data operating system, a configurable video data construction platform for researchers and vertical domain teams. Users initiate data requests via natural language queries and adjustable parameters (scale, re...
JAWS: Enhancing Long-term Rollout of Neural Operators via Spatially-Adaptive Jacobian Regularization
arXiv:2603.05538v1 Announce Type: new
Abstract: Data-driven surrogate models improve the efficiency of simulating continuous dynamical systems, yet their autoregressive rollouts are often limited by instability and spectral blow-up. While global regularization techniques can enforce contractive dyn...
Traversal-as-Policy: Log-Distilled Gated Behavior Trees as Externalized, Verifiable Policies for Safe, Robust, and Efficient Agents
arXiv:2603.05517v1 Announce Type: new
Abstract: Autonomous LLM agents fail because long-horizon policy remains implicit in model weights and transcripts, while safety is retrofitted post hoc. We propose Traversal-as-Policy: distill sandboxed OpenHands execution logs into a single executable Gated B...
Andrej Karpathy Open-Sources ‘Autoresearch’: A 630-Line Python Tool Letting AI Agents Run Autonomous ML Experiments on Single GPUs
Andrej Karpathy released autoresearch, a minimalist Python tool designed to enable AI agents to autonomously conduct machine learning experiments. The project is a stripped-down version of the nanochat LLM training core, condensed into a single-file repository of approximately ~630 lines of code. It...
Will the Pentagon’s Anthropic controversy scare startups away from defense work?
On the latest episode of TechCrunch’s Equity podcast, we discussed what the controversy means for other startups seeking to work with the federal government.
Beyond Accuracy: Quantifying the Production Fragility Caused by Excessive, Redundant, and Low-Signal Features in Regression
At first glance, adding more features to a model seems like an obvious way to improve performance. If a model can learn from more information, it should be able to make better predictions. In practice, however, this instinct often introduces hidden structural risks. Every additional feature creates ...
LatentVLA: Latent Reasoning Models for Autonomous Driving
What if natural language is not the best abstraction for driving?
The post LatentVLA: Latent Reasoning Models for Autonomous Driving appeared first on Towards Data Science.
Building Next-Gen Agentic AI: A Complete Framework for Cognitive Blueprint Driven Runtime Agents with Memory Tools and Validation
In this tutorial, we build a complete cognitive blueprint and runtime agent framework. We define structured blueprints for identity, goals, planning, memory, validation, and tool access, and use them to create agents that not only respond but also plan, execute, validate, and systematically improve ...
Camsoda AI Image Generator: Pricing Details and Feature Set
Built to support uncensored visual experimentation, Camsoda AI Image Generator enables users to generate images with fewer content barriers than those typically enforced by larger platforms. How it works To generate an image in camsoda AI you first need to go to the page of the AI girl that you want...
PovChat Chatbot App Access, Costs, and Feature Insights
PovChat offers an AI chat experience with minimal interference. Instead of constraining discussions, it supports free expression and adjusts its responses to match the evolving context of the conversation. How PovChat Works Behind the Scenes PovChat functions using language models that interpret and...
Conversium AI Chatbot App: Key Functions and Pricing Explained
Conversium Chatbot has been created for users who want an AI companion capable of unrestricted conversation. Rather than limiting expression, the platform emphasizes creative freedom and personalized exchanges that shift with the flow of discussion. Understanding How Conversium Chatbot Operates Conv...
AI for Good: The Quiet Revolution Improving Life on Earth
Beyond the headlines of disruption and risk, AI is helping feed the world sustainably, protect wildlife, restore ecosystems, and strengthen communities—revealing a future where technology amplifies humanity’s capacity to care for the planet.
OpenAI robotics lead Caitlin Kalinowski quits in response to Pentagon deal
Hardware executive Caitlin Kalinowski announced today that in response to OpenAI's controversial agreement with the Department of Defense, she’s resigned from her role leading the company's robotics team.
Five classical data science skills are becoming the scarcest resource in tech. A 90-day roadmap to build them while everyone else chases AI hype.
The post The AI Bubble Has a Data Science Escape Hatch appeared first on Towards Data Science.
Google Launches TensorFlow 2.21 And LiteRT: Faster GPU Performance, New NPU Acceleration, And Seamless PyTorch Edge Deployment Upgrades
Google has officially released TensorFlow 2.21. The most significant update in this release is the graduation of LiteRT from its preview stage to a fully production-ready stack. Moving forward, LiteRT serves as the universal on-device inference framework, officially replacing TensorFlow Lite (TFLite...
Microsoft Releases Phi-4-Reasoning-Vision-15B: A Compact Multimodal Model for Math, Science, and GUI Understanding
Microsoft has released Phi-4-reasoning-vision-15B, a 15 billion parameter open-weight multimodal reasoning model designed for image and text tasks that require both perception and selective reasoning. It is a compact model built to balance reasoning quality, compute efficiency, and training-data req...
Unified Context-Intent Embeddings for Scalable Text-to-SQL
Your Analysts Already Wrote the Perfect PromptAuthors: Keqiang Li, Bin YangIn our previous blog post, we shared how Pinterest built Text-to-SQL with RAG-based table selection (Retrieval-Augmented Generation). That system introduced schema-grounded SQL generation and retrieval-augmented table selecti...
Google AI Releases Android Bench: An Evaluation Framework and Leaderboard for LLMs in Android Development
Google has officially released Android Bench, a new leaderboard and evaluation framework designed to measure how Large Language Models (LLMs) perform specifically on Android development tasks. The dataset, methodology, and test harness have been made open-source and are publicly available on GitHub....