Now introducing Gemini Enterprise for Legal

Few professions are as exacting as the practice of law. A team reviewing a contract or building a case works inside strictly privileged information, firm-specific playbooks, and a body of law that changes constantly. The work thrives on nuanced, professional judgment — and the systems supporting it inherit real obligations: ethical walls that cannot be …

Time saver while learning how to prompt Minimax.

Rather than relying on Z-image, or a different program to wrangle up a first frame, I’ve been using Minimax for the whole process, and the results have been pretty instructive. It’s not a perfect system, but being able to take advantage of its understanding of people, references, and shot composition for the first frame produces …

Beyond Visual CoT: Internalized Visual Thinking for Proactive Video Reasoning

Multimodal large language models increasingly use visual chain-of-thought (Visual CoT) to reason about spatial, temporal, and embodied environments. By generating intermediate reasoning images, Visual CoT provides an intuitive mechanism for visual foresight but introduces substantial inference overhead, which is particularly problematic for proactive video reasoning. We ask whether models can learn to think visually during …

ml 21715 2 create cluster

Introducing new Ray capabilities on SageMaker HyperPod

Today, we are announcing new Ray capabilities on Amazon SageMaker HyperPod that integrate Ray with the HyperPod purpose-built infrastructure for foundation model training and serving. Ray is an open-source framework that data scientists use to scale distributed Python workloads across clusters of GPUs, from distributed training with Ray Train to model serving with Ray Serve. …

From X-ray speckles to solar magnetic fields, AI shrinks data while keeping crucial details

Next-generation science experiments will collect more data than ever—so much so that they’ll surpass the capabilities of current data storage and analysis methods. To help, researchers at the Department of Energy’s SLAC National Accelerator Laboratory developed an AI method to compress large amounts of raw data without losing subtle details critical to scientific discovery. They …