Photon-driven synapse advances low-power neuromorphic systems

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Modern artificial intelligence systems rely on moving large amounts of data between memory and processors, a design that limits speed and increases energy use. The human brain works differently: it combines memory and computation within synapses, allowing fast, efficient learning and perception. Replicating this approach in hardware is a central goal of neuromorphic computing, especially …

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Anima – Sharing Some Prompts and Results

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Been experimenting with Anima lately and ended up spending way too much time refining prompts. Thought I’d share a few that consistently gave me results I liked. Most of these lean toward dreamlike character-focused illustrations rather than complex scenes. Prompt 1: [masterpiece, best quality, ultra refined anime aesthetics, breathtaking dreamlike anime illustration, highly detailed anime …

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

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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 …

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Nava – A 6.3B audio-video model .

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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

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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

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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

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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

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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 …

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