AI generates full battery electrolyte recipes, matching top lithium metal battery performance

Battery electrolytes aren’t just one chemical, but a complex mixture of salts, solvents, and additives interacting and reacting with each other. Artificial intelligence has made great headway in helping select ideal materials to go into that chemical soup. But a team from the University of Chicago Pritzker School of Molecular Engineering (UChicago PME) is using …

Nava – A 6.3B audio-video model .

Page: https://ernie-research.github.io/NAVA/ Model: https://huggingface.co/ernie-research/NAVA Github: https://github.com/ernie-research/NAVA NAVA is a 6.3 B-parameter joint audio-video generator that synthesizes synchronized video and audio from a single prompt — including multi-speaker speech with reference-timbre control and image-conditioned continuations. Instead of post-hoc-aligned dual towers or fully unified tri-modal stacks, NAVA uses an Align-then-Fuse MMDiT: a dedicated alignment space first establishes …

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Enterprise Business Software and the Mixed-Up Chameleon Problem

Editor’s Note: This blog post was written by Greg Little, Senior Counselor at Palantir, with Aaron Jaffe, Senior Vice President at Palantir. Over 10 years of implementing Enterprise Resource Planning (ERP) systems, I remember one project where the CFO stopped the room cold. It was 11:30 at night during a mock cutover. People were exhausted …

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High-Throughput Graph Abstraction at Netflix: Part I

By Oleksii Tkachuk, Kartik Sathyanarayanan, Rajiv Shringi Introduction Netflix has a diverse range of graph use cases, each serving specific business needs with unique functionality and performance requirements. These use cases fall into two broad categories: OLAP: These use cases typically involve open-ended and algorithmic exploration of large graph datasets. They often utilize industry-standard models and …

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Comprehensive observability for Amazon SageMaker AI LLM inference: From GPU utilization to LLM quality

Deploying large language models (LLMs) at scale on Amazon SageMaker AI Inference makes observability a critical pillar of any production machine learning (ML) strategy. Unlike conventional software that returns deterministic outputs, LLMs generate variable, free-form responses that are difficult to validate with standard metrics. LLM output quality can change over time as input distributions shift, …

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Cloud CISO Perspectives: How to build an AI-ready security program for the public sector

Welcome to the second Cloud CISO Perspectives for May 2026. Today, Usman Chaudhary, Field CISO, Google Public Sector, offers a guide for CISOs protecting government agencies and critical infrastructure on how to get started — and get the most out of — defending with AI. As with all Cloud CISO Perspectives, the contents of this …