AI

This post is co-written with Bar Fingerman from Bria. We are thrilled to announce that Bria 2.3, 2.2 HD, and 2.3 Fast text-to-image foundation models (FMs) from Bria AI are now available in Amazon SageMaker JumpStart. Bria models are trained exclusively on commercial-grade licensed data, providing high standards of safety and compliance with full legal […]

We’re excited to announce the release of SageMaker Core, a new Python SDK from Amazon SageMaker designed to offer an object-oriented approach for managing the machine learning (ML) lifecycle. This new SDK streamlines data processing, training, and inference and features resource chaining, intelligent defaults, and enhanced logging capabilities. With SageMaker Core, managing ML workloads on

A new smart collar aims to give pet owners the ability to talk to their fur babies. Or at least fake it.

Amazon SageMaker Ground Truth is a powerful data labeling service offered by AWS that provides a comprehensive and scalable platform for labeling various types of data, including text, images, videos, and 3D point clouds, using a diverse workforce of human annotators. In addition to traditional custom-tailored deep learning models, SageMaker Ground Truth also supports generative

A new type of smart glasses from Emteq Labs have cameras pointed inwards, aiming to track your life and quantify how you’re feeling—and what you’re eating.

Reality Defender, a startup focused on AI detection, has developed a tool to verify human participants in video calls and catch fraudsters using AI deepfakes for scams.

Global Intelligence claims its Cybercheck technology can help cops find key evidence to nail a case. But a WIRED investigation reveals the smoking gun often appears far less solid.

Bots that “remove clothes” from images have run rampant on the messaging app, allowing people to create nonconsensual deepfake images even as lawmakers and tech companies try to crack down.

With recent advances in large language models (LLMs), a wide array of businesses are building new chatbot applications, either to help their external customers or to support internal teams. For many of these use cases, businesses are building Retrieval Augmented Generation (RAG) style chat-based assistants, where a powerful LLM can reference company-specific documents to answer

Amazon Bedrock Agents enable generative AI applications to perform multistep tasks across various company systems and data sources. They orchestrate and analyze the tasks and break them down into the correct logical sequences using the reasoning abilities of the foundation model (FM). Agents automatically call the necessary APIs to interact with the company systems and