I built a free local AI image search app — find images by typing what’s in them

Built Makimus-AI, a free open source app that lets you search your entire image library using natural language. Just type “girl in red dress” or “sunset on the beach” and it finds matching images instantly — even works with image-to-image search. Runs fully local on your GPU, no internet needed after setup. [Makimus-AI on GitHub](https://github.com/Ubaida-M-Yusuf/Makimus-AI) …

ML 19776 image 1

Build AI workflows on Amazon EKS with Union.ai and Flyte

As artificial intelligence and machine learning (AI/ML) workflows grow in scale and complexity, it becomes harder for practitioners to organize and deploy their models. AI projects often struggle to move from pilot to production. AI projects often fail not because models are bad, but because infrastructure and processes are fragmented and brittle, and the original …

shaunAnimationBlurred

Using Google Cloud AI to measure the physics of U.S. freestyle snowboarding and skiing

Nearly every snowboard trick carries a number. A 1080 means three full rotations. A 1440 means four. The convention is simple: add up every rotation around every axis and count in 180° increments. For decades it’s served as the sport’s universal shorthand for difficulty. Judges, coaches, and athletes all speak this language fluently. It’s also, …

Most AI bots lack basic safety disclosures, study finds

Many people use AI chatbots to plan meals and write emails, AI-enhanced web browsers to book travel and buy tickets, and workplace AI to generate invoices and performance reports. However, a new study of the “AI agent ecosystem” suggests that as these AI bots rapidly become part of everyday life, basic safety disclosure is “dangerously …

Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment

Query Auto-Completion (QAC) is a critical feature of modern search systems that improves search efficiency by suggesting completions as users type. However, existing approaches face fundamental challenges: traditional retrieve-and-rank pipelines have poor long-tail coverage and require extensive feature engineering, while recent generative methods suffer from hallucination and safety risks. We present a unified framework that …

ML 20135 image 1

Build unified intelligence with Amazon Bedrock AgentCore

Building cohesive and unified customer intelligence across your organization starts with reducing the friction your sales representatives face when toggling between Salesforce, support tickets, and Amazon Redshift. A sales representative preparing for a customer meeting might spend hours clicking through several different dashboards—product recommendations, engagement metrics, revenue analytics, etc. – before developing a complete picture …