NVIDIA’s Alpamayo 2 Super Opens Robotaxi Development to Commercial Use

NVIDIA has released Alpamayo 2 Super, a 34-billion-parameter reasoning model for autonomous driving, for commercial use, the company announced on August 4, 2026. The model’s weights are posted on Hugging Face under OpenMDW-1.1, the Linux Foundation’s permissive license for AI model distributions, which covers fine-tuning, derivative models and commercial redistribution. The release clears a licensing…

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The First Workflow: From AI Blueprint to Build

Part one designed the loop. Part two laid down what the loop stands on — the map and the rails. What remains is the part that stops most companies before they start: actually building it. The good news is that the build is smaller than the ambition suggests. You do not need an enterprise program,…

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AI Is Not the Transformation. Decision Velocity Is.

Intelligence without speed creates the illusion of progress Most enterprises today consider themselves analytically mature. They have invested in modern data platforms, built advanced models, and scaled analytics teams. Now, many are layering in generative AI. From the outside, this looks like transformation. Inside the organization, decision-making often feels no faster than it did years…

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Cillian Kieran, Founder and CEO of Ethyca – Interview Series

Cillian Kieran, Founder and CEO of Ethyca, is a serial entrepreneur and privacy engineer with more than two decades of experience building data-intensive technology businesses. Before founding Ethyca in 2019, he led digital agency CKSK for a decade and subsequently founded BrandCommerce, drawing on his background in software engineering, user experience and large-scale enterprise data…

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The benefits of medical AI assistance vary based on user expertise

A one-size-fits-all approach likely isn’t the best strategy when designing artificial intelligence systems that assist users in disease diagnosis. A new study by researchers at MIT and elsewhere found that, while AI assistance generally improved the accuracy of non-experts and clinicians in diagnosing skin diseases, AI explainability methods had different impacts depending on the users’…

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