Autonomous Source Knowledge Selection in Multi-Domain Adaptation
arXiv:2512.14710v1 Announce Type: new
Abstract: Unsupervised multi-domain adaptation plays a key role in transfer learning by leveraging acquired rich source information from multiple source domains to solve target task from an unlabeled target domain. However, multiple source domains often contain...
A Bayesian latent class reinforcement learning framework to capture adaptive, feedback-driven travel behaviour
arXiv:2512.14713v1 Announce Type: new
Abstract: Many travel decisions involve a degree of experience formation, where individuals learn their preferences over time. At the same time, there is extensive scope for heterogeneity across individual travellers, both in their underlying preferences and in...
A new way to increase the capabilities of large language models
MIT-IBM Watson AI Lab researchers developed an expressive architecture that provides better state tracking and sequential reasoning in LLMs over long texts.
This system card outlines the comprehensive safety measures implemented for GPT‑5.2-Codex. It details both model-level mitigations, such as specialized safety training for harmful tasks and prompt injections, and product-level mitigations like agent sandboxing and configurable network access....
Gemini 3 Flash arrives with reduced costs and latency — a powerful combo for enterprises
Enterprises can now harness the power of a large language model that's near that of the state-of-the-art Google’s Gemini 3 Pro, but at a fraction of the cost and with increased speed, thanks to the newly released Gemini 3 Flash.The model joins the flagship Gemini 3 Pro, Gemini 3 Deep Think, and Gemi...
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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