[ad_1] This blog post is co-written with George Orlin from Meta. Today, we are excited to announce that Meta’s Segment Anything Model (SAM) 2.1 vision segmentation model is publicly available through Amazon SageMaker JumpStart to deploy and run inference. Meta SAM 2.1 provides state-of-the-art video and image segmentation capabilities in a single model. This cutting-edge model supports long-context processing, complex segmentation scenarios, and fine-grained analysis, making it ideal for automating
[ad_1] Today, we are excited to announce that the Falcon 3 family of models from TII are available in Amazon SageMaker JumpStart. In this post, we explore how to deploy this model efficiently on Amazon SageMaker AI. Overview of the Falcon 3 family of models The Falcon 3 family, developed by Technology Innovation Institute (TII) in Abu Dhabi, represents a significant advancement in open source language models. This collection includes
[ad_1] The integration of generative AI capabilities is driving transformative changes across many industries. Although weather information is accessible through multiple channels, businesses that heavily rely on meteorological data require robust and scalable solutions to effectively manage and use these critical insights and reduce manual processes. This solution demonstrates how to create an AI-powered virtual meteorologist that can answer complex weather-related queries in natural language. We use various AWS services
[ad_1] In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. Amazon Q Business, a new generative AI-powered assistant, can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in an enterprise’s systems. Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management. These tasks often involve
[ad_1] GraphStorm is a low-code enterprise graph machine learning (ML) framework that provides ML practitioners a simple way of building, training, and deploying graph ML solutions on industry-scale graph data. Although GraphStorm can run efficiently on single instances for small graphs, it truly shines when scaling to enterprise-level graphs in distributed mode using a cluster of Amazon Elastic Compute Cloud (Amazon EC2) instances or Amazon SageMaker. Today, AWS AI released
[ad_1] In his annual letter, YouTube CEO Neal Mohan dubbed AI one of the company’s four “big bets” for 2025. The executive pointed to the company’s investments in AI tools for creators, including ones for video ideas, thumbnails, and language translation. The latter feature will roll out to all creators in YouTube’s Partner Program this month, the company said, while another AI feature will identify users’ ages to customize appropriate
[ad_1] The Open Philanthropy has just launched a large new Request for Proposals for technical AI safety research. Here we're sharing a reference guide, created as part of that RFP, which describes what projects we'd like to see across 21 research directions in technical AI safety. This guide provides an opinionated overview of recent work and open problems across areas like adversarial testing, model transparency, and theoretical approaches to AI alignment. We
[ad_1] TL;DR: If you are thinking of using interpretability to help with strategic deception, then there's likely a problem you need to solve first: how are intentional descriptions (like deception) related to algorithmic ones (like understanding the mechanisms models use)? We discuss this problem and try to outline some constructive directions. 1. IntroductionA commonly discussed AI risk scenario is strategic deception: systems that execute sophisticated planning against their creators to achieve undesired ends. In
[ad_1] A number of startups are racing to make vehicle inspections faster, easier, and cheaper. Self Inspection, a startup based in San Diego, thinks it has them all beat with its AI-powered service — and now it has convinced outside investors. Self Inspection, founded in 2021, is set to announce Thursday it’s raised $3 million in a seed round co-led by Costanoa Ventures and DVx Ventures, the firm run by
[ad_1] I’m not a natural “doomsayer.” But unfortunately, part of my job as an AI safety researcher is to think about the more troubling scenarios.I’m like a mechanic scrambling last-minute checks before Apollo 13 takes off. If you ask for my take on the situation, I won’t comment on the quality of the in-flight entertainment, or describe how beautiful the stars will appear from space.I will tell you what could
