PixVerse and OpenAI Connect AI Video Workflows

PixVerse and OpenAI Bring AI Video Workflows to Creators

PixVerse and OpenAI are launching Prompt to Production, an educational initiative designed to show creators how to combine AI models, agentic capabilities and multimodal video generation in a connected production workflow. The program will begin with two regional webinars on October 28 and 29, 2026, demonstrating how ChatGPT can help develop creative briefs and shot…

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Genedata Integrates NVIDIA AI Protein Design Model

Genedata Adds NVIDIA Protein Design AI to Drug Discovery

Genedata, a Danaher company that develops software for biopharmaceutical research and development, has integrated NVIDIA’s RFD4-Proteina binder-design model into its AI-enabled discovery workflows. The integration is designed to connect AI-generated protein designs with laboratory experiments and scientific data, allowing researchers to evaluate candidate molecules, capture experimental outcomes and use those results to guide subsequent design…

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GenesisL1 GL1X Connects AI Agents With Bioinformatics

GenesisL1 Launches GL1X for AI-Driven On-Chain Bioinformatics

GenesisL1 has introduced GL1X, an open-source blockchain explorer and bioinformatics platform that lets researchers and AI agents access molecular records, protein structures and scientific analysis tools through a browser or the Model Context Protocol (MCP). Available at GL1X.com, the platform offers 87 read-only tools spanning blockchain data and bioinformatics workflows, including sequence search, protein structure…

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llm-d 1.0 Advances Distributed AI Inference

llm-d 1.0 Targets Reliable AI Inference at Enterprise Scale

The llm-d open-source project has released version 1.0, introducing production-focused capabilities designed to help enterprises scale large language model (LLM) inference across distributed infrastructure. Backed by contributors including Red Hat, IBM, Google Cloud, CoreWeave and NVIDIA, and governed by the Cloud Native Computing Foundation (CNCF), llm-d combines intelligent request routing, context-aware scheduling and operational controls…

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Reply Earns NVIDIA Physical AI Specialization

Reply Earns NVIDIA Physical AI Specialization for Robotics

Italian technology consultancy Reply has earned NVIDIA’s Physical AI Specialization, a designation recognising its capabilities in developing and deploying AI-driven robotics and digital twin solutions. The recognition highlights a growing focus on connecting simulated environments with industrial operations, where companies want to test robotic systems virtually before introducing them into warehouses, factories and logistics networks….

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RWS Study Models 212% ROI for Language AI

RWS Study Models 212% ROI From AI-Powered Localization

RWS has published a commissioned Forrester Consulting study estimating that a composite global technology company could generate a 212% return on investment by combining AI-powered language technology with expert linguistic services. The September 2026 Total Economic Impact study models $21.7 million in localization-related benefits against $6.9 million in costs over three years, producing a reported…

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Wondershare UniConverter 18 Adds AI Media Tools

Wondershare UniConverter 18 Adds AI Media Automation

Wondershare has launched UniConverter 18, an update to its media processing software that adds AI-powered image enhancement, natural-language batch conversion, automated file handling and expanded video cleanup tools. The release also upgrades GPU processing on NVIDIA-powered Windows systems and optimizes HDR processing across Windows and macOS. The changes target creators, media teams and other users…

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Auve Tech: Autonomous Shuttles at Tallinn Airport

Auve Tech Brings Autonomous Shuttles to Airport Operations

1.MiCa’s deployment at Tallinn Airport marks a shift from testing autonomous mobility to using it in day-to-day airport operations. What made this transition possible, and what were the most significant challenges along the way?  The transition was possible because we approached it as a gradual operational and safety-validation process rather than a single technological demonstration….

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Avenda Health: Building Trust in Clinical AI

Seeing what MRI misses: Avenda Health’s CTO on building AI for real-world prostate cancer care

1. There is a difference between a model that performs well on a benchmark dataset and one that can be trusted to inform a clinical decision. Where does that gap show up and what did you have to change about how you were measuring performance? In radiology AI, standard benchmark datasets typically measure how well…

Read More: Seeing what MRI misses: Avenda Health’s CTO on building AI for real-world prostate cancer care

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