AgREE: Agentic Reasoning for Knowledge Graph Completion on Emerging Entities

Open-domain Knowledge Graph Completion (KGC) faces significant challenges in an ever-changing world, especially when considering the continual emergence of new entities in daily news. Existing approaches for KGC mainly rely on pretrained language models’ parametric knowledge, pre-constructed queries, or single-step retrieval, typically requiring substantial supervision and training data. Even so, they often fail to capture …

1 Dataset versions

Tracking and managing assets used in AI development with Amazon SageMaker AI 

Building custom foundation models requires coordinating multiple assets across the development lifecycle such as data assets, compute infrastructure, model architecture and frameworks, lineage, and production deployments. Data scientists create and refine training datasets, develop custom evaluators to assess model quality and safety, and iterate through fine-tuning configurations to optimize performance. As these workflows scale across …

Automate AI and HPC clusters with Cluster Director, now generally available

The complexity of the infrastructure behind AI training and high performance computing (HPC) workloads can really slow teams down. At Google Cloud, where we work with some of the world’s largest AI research teams, we see it everywhere we go: researchers hampered by complex configuration files, platform teams struggling to manage GPUs with home-grown scripts, …

Gemini 3 Flash arrives with reduced costs and latency — a powerful combo for enterprises

Enterprises can now harness the power of a large language model that’s near that of the state-of-the-art Google’s Gemini 3 Pro, but at a fraction of the cost and with increased speed, thanks to the newly released Gemini 3 Flash. The model joins the flagship Gemini 3 Pro, Gemini 3 Deep Think, and Gemini Agent, …

SAM Audio: the first unified model that isolates any sound from complex audio mixtures using text, visual, or span prompts

SAM-Audio is a foundation model for isolating any sound in audio using text, visual, or temporal prompts. It can separate specific sounds from complex audio mixtures based on natural language descriptions, visual cues from video, or time spans. https://ai.meta.com/samaudio/ https://huggingface.co/collections/facebook/sam-audio https://github.com/facebookresearch/sam-audio submitted by /u/fruesome [link] [comments]

GIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editing

Editing images using natural language instructions has become a natural and expressive way to modify visual content; yet, evaluating the performance of such models remains challenging. Existing evaluation approaches often rely on image-text similarity metrics like CLIP, which lack precision. In this work, we introduce a new benchmark designed to evaluate text-guided image editing models …

Palantir and L3Harris

Reindustrializing Defense Through AI-Powered Production Editor’s Note: This is a joint blog post written by Palantir and L3Harris about our partnership to reindustrialize America’s defense industrial base. Introduction The challenge facing America’s defense industrial base is not just about speed — it’s about rebuilding the foundation that makes speed possible. Our nation’s ability to rapidly reindustrialize and …