Austin’s Blanton Museum uses coding, data, and AI to explore what it means to create art

The Blanton Museum of Art's Run the Code exhibit showcases artwork created using code, algorithms, artificial intelligence, ...
The Information

OpenAI Takes Aim at Google with New Image Model

If you’ve been on X or Reddit in recent weeks, you’ve likely seen images created by an upcoming model from OpenAI floating ...

Clarifying HEVC licensing fees, royalties, and why vendors kill HEVC support

When the companies disabled HEVC support built into the CPUs of select PCs, it raised uncomfortable questions: Why remove a ...
Regtechtimes on MSN

Scaling vision: How AI is advancing image intelligence from smartphones to self-driving cars

From super-resolution smartphone cameras to vehicles that can anticipate human movement, computer vision is undergoing a ...
EurekAlert!

Team develops general framework for Gaussian Splatting-based human-centric volumetric videos

A research team has developed a Gaussian Splatting processing platform that supports end-to-end processing from data acquisition to multi-platform rendering. Their framework provides a solid ...
TechSpot

Google's TurboQuant compression tech cuts LLM memory use by 6x with no accuracy loss

The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
Visual Studio Magazine

Hands On with VS Code 1.112's New Image Analysis for Agents

VS Code 1.112 agents can now read image files from disk. The image carousel can open generated or selected images in chat. My PoC used three leaderboard screenshots to summarize model trade-offs.
VentureBeat

Nvidia says it can shrink LLM memory 20x without changing model weights

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...
IEEE

Stereo Image Coding for Machines with Joint Visual Feature Compression

Abstract: 2D image coding for machines (ICM) has achieved great success in coding efficiency, while less effort has been devoted to stereo image fields. To promote the efficiency of stereo image ...
marktechpost

A Coding Guide to Build a Scalable End-to-End Machine Learning Data Pipeline Using Daft for High-Performance Structured and Image Data Processing

In this tutorial, we explore how we use Daft as a high-performance, Python-native data engine to build an end-to-end analytical pipeline. We start by loading a real-world MNIST dataset, then ...
Visual Studio Magazine

Comparing Amazon Q and GitHub Copilot Agentic AI in VS Code

Amazon Q Developer outperformed GitHub Copilot Pro in some aspects, completing a complex editorial task in 5 minutes compared to Copilot's 15 minutes. While GitHub Copilot demonstrated superior ...