New computer vision tool can count damaged buildings in crisis zones and accurately estimate bird flock sizes

A team of computer scientists at the University of Massachusetts Amherst working on two different problems—how to quickly detect damaged buildings in crisis zones and how to accurately estimate the size of bird flocks—recently announced an AI framework that can do both. The framework, called DISCount, blends the speed and massive data-crunching power of artificial …

ELLA SDXL weights confirmed to NEVER be released

They confirmed that the SDXL weights won’t be released, and they’re probably going to do the same for the training code as well: https://github.com/TencentQQGYLab/ELLA/issues/16#issuecomment-2046795891 I’m not being a cynic, but I’ve been in academia long enough to know how people (usually early in career) tend to (heavy stress on “tend to”) value the publication itself …

The future of application delivery starts with modernization

IDC estimates that 750 million cloud native will be built by 2025. Where and how these applications are deployed will impact time to market and value realization. The reality is that application landscapes are complex, and they challenge enterprises to maintain and modernize existing infrastructure, while delivering new cloud-native features. Three in four executives reported …

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Build an active learning pipeline for automatic annotation of images with AWS services

This blog post is co-written with Caroline Chung from Veoneer. Veoneer is a global automotive electronics company and a world leader in automotive electronic safety systems. They offer best-in-class restraint control systems and have delivered over 1 billion electronic control units and crash sensors to car manufacturers globally. The company continues to build on a …

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Performance deep dive of Gemma on Google Cloud

Earlier this year we announced Gemma, an open weights model family built to enable developers to rapidly experiment with, adapt, and productionize on Google Cloud. Gemma models can run on your laptop, workstation, or on Google Cloud through either Vertex AI or Google Kubernetes Engine (GKE) using your choice of Cloud GPUs or Cloud TPUs. …

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User-Centered Machine Learning for Visual Search

AuthorsDimitrios Lymperopoulos, Head of Machine Learning, Palantir Ben Radford, Product Manager, Palantir In our previous blog post, we introduced User-Centered Machine Learning (UCML). The core UCML workflow enables end users to rapidly adapt cutting-edge Computer Vision (CV) capabilities to their specific and evolving missions, based on their feedback. It combines the power of research-grade detection models …