Into the Omniverse: OpenUSD and NVIDIA Halos Accelerate Safety for Robotaxis, Physical AI Systems
Physical AI is moving from research labs into the real world, powering intelligent robots and autonomous vehicles (AVs) — such as robotaxis — that must reliably sense, reason and act amid unpredictable conditions....
The Real Cost of Inaction: How Silos Hurt Productivity for Data Scientists (Sponsored)
The overarching goal is to maximize the return on analytical talent, shifting their focus entirely from data preparation to predictive model development, which is a necessary move if the business intends to compete in an AI-driven economy.
A Practical Toolkit for Time Series Anomaly Detection, Using Python
Here's how to detect point anomalies within each series, and identify anomalous signals across the whole bank
The post A Practical Toolkit for Time Series Anomaly Detection, Using Python appeared first on Towards Data Science....
UC San Diego Lab Advances Generative AI Research With NVIDIA DGX B200 System
The Hao AI Lab research team at the University of California San Diego — at the forefront of pioneering AI model innovation — recently received an NVIDIA DGX B200 system to elevate their critical work in large language model inference. Many LLM inference platforms in production today, such as NVIDI...
The company on Wednesday said it is integrating the tool, which lets you build AI-powered mini apps, inside the Gemini web app, allowing users to create their own custom apps....
The Machine Learning “Advent Calendar” Day 17: Neural Network Regressor in Excel
Neural networks often feel like black boxes. In this article, we build a neural network regressor from scratch using only Excel formulas. By making every step explicit, from forward propagation to backpropagation, we show how a neural network learns to approximate non-linear functions with just a ha...
With all the breakthroughs happening in image processing by releases such as Nano Banana, Qwen image and SAM3, OpenAI which was at the frontier of the domain a few years back, has been relatively quiet—especially in terms of its releases. With pedestrian releases and lackluster offerings, most peopl...
10 Most Downloaded Hugging Face Datasets and Their Use-cases
If you have ever trained a model, fine-tuned an LLM, or even experimented with AI on a weekend, chances are you have landed on Hugging Face. It has quietly become the GitHub of datasets – a place where developers, researchers, and data professionals go to build models and accelerate ideas. From code...
Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach
LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems
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3 Techniques to Effectively Utilize AI Agents for Coding
Learn how to be an effective engineer with coding agents
The post 3 Techniques to Effectively Utilize AI Agents for Coding appeared first on Towards Data Science....
AI is moving to the edge – and network security needs to catch up
Presented by T-Mobile for BusinessSmall and mid-sized businesses are adopting AI at a pace that would have seemed unrealistic even a few years ago. Smart assistants that greet customers, predictive tools that flag inventory shortages before they happen, and on-site analytics that help staff make dec...
OpenAI is launching the OpenAI Academy for News Organizations, a new learning hub built with the American Journalism Project and The Lenfest Institute to help newsrooms use AI effectively. The Academy offers training, practical use cases, and responsible-use guidance to support journalists, editors,...
AgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities
Open-domain Knowledge Graph Completion (KGC) faces significant challenges in an ever-changing world, especially when considering the continual emergence of new entities in daily news. Existing approaches for KGC mainly rely on pretrained language models’ parametric knowledge, pre-constructed queries...
The Communication Complexity of Distributed Estimation
We study an extension of the standard two-party communication model in which Alice and Bob hold probability distributions ppp and qqq over domains XXX and YYY, respectively. Their goal is to estimate
Ex∼p,y∼q[f(x,y)]\mathbb{E}_{x \sim p, y \sim q}[f(x, y)]Ex∼p,y∼q[f(x,y)]
to within additive error ε...
A decision-theoretic characterization of perfect calibration is that an agent seeking to minimize a proper loss in expectation cannot improve their outcome by post-processing a perfectly calibrated predictor. Hu and Wu (FOCS’24) use this to define an approximate calibration measure called calibratio...
AI Meets the Everyday Hustle: QuickBooks’ New Campaign Shows How Small Businesses Can Finally Breathe
The latest global campaign from Intuit QuickBooks and FCB feels like one of those sort of moments, when tech moves out of the realm of abstraction and lands you know where – real life. As I watched how the team mixed real entrepreneurs with AI-driven storytelling, it gave me pause: is this finally t...
Rolling out enterprise-grade AI means climbing two steep cliffs at once. First, understanding and implementing the tech itself. And second, creating the cultural conditions where employees can maximize its value. While the technical hurdles are significant, the human element can be even more conseque...