NVIDIA AI Factory Compute Is Becoming an Investable Asset Class
We announced partnerships with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish independent financing platforms designed to mobilize over $500 billion of third-party capital to support the buildout of AI infrastructure over time. This is a major milestone for NVIDIA and ...
AI Weekly Issue #521: The frontier just split into three markets
Frontier AI is no longer one market with one scoreboard. This week's release wave exposed a contest between three kinds of leverage: controlling access to intelligence, owning the model outright, and deciding which model receives each job. That changes what winning means. The lab with the highest be...
How RingCentral builds AI-native work from engineering to ops
See how RingCentral uses ChatGPT Work and Codex to accelerate AI product development and centralize operational intelligence across engineering and operations.
The Video Production Stack Now Fits on One Desk: LTX-2.5 Launches as NVIDIA-Accelerated Open Weights World Model
LTX-2.5 brings frontier video generation to local NVIDIA hardware: 6.8-second clips, native multishot, day-one ComfyUI, open weights.
The post The Video Production Stack Now Fits on One Desk: LTX-2.5 Launches as NVIDIA-Accelerated Open Weights World Model appeared first on MarkTechPost.
An unreleased Anthropic model made progress on one of math’s biggest unsolved problems
For more than 150 years, the Riemann hypothesis has stood as one of the major unsolved problems in mathematics. Anthropic hasn't solved it — but the company's models made more progress than you might expect.
Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement
Radiology AI is evolving beyond report generation. CARE-X explores a unified approach that combines flexible reasoning, calibrated predictions, and measurement-based tools for chest X-ray interpretation.
The post Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision...
Building and Validating a Quantitative Trading Strategy with OctoBot, Walk-Forward Backtesting, Parameter Optimization, and Interactive Analysis
In this tutorial, we build a complete quantitative backtesting workflow with OctoBot and OctoBot-Script while keeping the environment isolated from Colab’s preinstalled dependencies. We configure a rule-based trading strategy that combines RSI-based oversold signals, EMA trend confirmation, and ATR-...
NVIDIA and Local AI Community Fuel Open Source Models and Intelligent Agents
The open source ecosystem is making it easier for AI enthusiasts and developers to build, customize and run increasingly capable agents locally. Throughout August, NVIDIA is celebrating the partners and open source communities moving local AI forward, along with the models, applications and tools e...
NVIDIA Nemotron 3.5 Lightning and NeMo Switchyard Deliver Faster, Smarter, More Efficient Agentic AI
As AI shifts from chatbots to autonomous agents, open models are serving market demands for full control over where AI runs and how it’s deployed and evolves. Today, NVIDIA is expanding its Nemotron 3 model family with Nemotron 3.5 Lightning, the highest-efficiency model in its class for long-runnin...
7 Async Patterns for Running Agents Concurrently in Python
In this article, you will learn seven async patterns for running AI agents concurrently in Python, what each pattern is suited for, and the production-level...
I replayed the same 27 real production tasks through two local models, one hardware upgrade apart, to find out what it actually takes to replace Claude as the brain behind a 90-tool personal agent.
The post Can a Local LLM Run My AI Assistant? appeared first on Towards Data Science.
Every agent I use is building a model of me. Claude has learned how I like my prose. ChatGPT remembers what I’m working on. I don’t mind this—every person I have a relationship with carries a model of me in their head, and every company I do business with keeps a profile. Other people’s understandin...
webAI Releases TwIL-LM: A 1.7B and 3B Formal-Logic Model Family for Autoformalization on Local Hardware
webAI has released TwIL-LM, a family of formal-logic models at 1.7B and 3B parameters that translate English into first-order logic and check whether conclusions follow from premises. The 3B runs on CPU or 4GB of VRAM; the 1.7B downloads at 1.06GB. Both ship under a non-commercial license. The model...
Implementing a MiniMax-H3 Multimodal Video and Audio Generation Pipeline with ComfyUI APIs
In this comprehensive guide, we demonstrate how to implement a complete, programmable MiniMax-H3 multimodal generation pipeline. By leveraging ComfyUI as a headless backend, we walk through setting up an automated inference environment that handles hardware profiling, model weight downloading, dynam...
Application of Artificial Intelligence for Fraudulent Banking Operations Recognition
arXiv:2608.07471v1 Announce Type: new
Abstract: This study considers the task of applying artificial intelligence to recognize bank fraud. In recent years, due to the COVID19 pandemic, bank fraud has become even more common due to the massive transition of many operations to online platforms and th...
Data-Driven Fire-Zone Segmentation for Improved Short-Term Wildfire Prediction
arXiv:2608.07472v1 Announce Type: new
Abstract: Wildfire prediction models typically discretize study areas into uniform grids, ignoring the heterogeneous spatial distribution of ignitions. We challenge this paradigm by showing that how data is discretized matters more than which model is used. We ...
Evolving Safety Landscape of Multi-modal Large Language Models: A Survey of Emerging Threats and Safeguards
arXiv:2608.07535v1 Announce Type: new
Abstract: Multi-modal large language models (MLLMs) integrate heterogeneous modalities through modality alignment and fusion, enabling stronger understanding and reasoning. However, this architectural shift reshapes the safety landscape of machine learning. Inc...
SkillConsist: Detecting Inconsistencies in Agent Skills via Bidirectional Graph Alignment
arXiv:2608.07639v1 Announce Type: new
Abstract: Agent Skills provide reusable capabilities to LLM agents. Agent Skill inconsistencies can expose undisclosed dangerous behavior or cause wrong Skill selection. Recent Agent Skill research has increasingly examined Agent Skill consistency detection. Ex...
Determinization in Structure Theories: A Unified Framework via Closure, Comparability, and Joint Admissibility
arXiv:2608.07476v1 Announce Type: new
Abstract: We develop a formal framework for constructing canonical interpretations from plural structure theories. A structure theory is a triple T = ({\Sigma}, A, I) consisting of a signature, axioms, and an inference policy, whose admissible interpretation fa...
Emotion in an active inference model of human driving
arXiv:2608.07480v1 Announce Type: new
Abstract: Active inference has emerged as a principled framework for modeling adaptive behavior by balancing goal-directed action with uncertainty reduction. It has been successfully applied across biological and artificial systems, including recent work on hum...