Escaping Pilot Purgatory: A Framework For Scaling Enterprise #AI
by Jim Tunnessen @Forbes Learn more: https://
bit.ly/48JcOUD #ArtificialIntelligence #MachineLearning #ML
MACHINE LEARNING
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Scaling Enterprise AI: Escaping Pilot Purgatory
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Your Computer Use Will Train Your AI Replacement
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Your computer use will train your very own AI replacement …
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Single-Cell Survival Analysis Predicts Patient Cancer Outcomes
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Single-cell survival analysis from a tumor can help predict patient outcomes @CD_AACR https://
aacrjournals.org/cancerdiscover
y/article/doi/10.1158/2159-8290.CD-25-0965/782647/scSurvival-Single-Cell-Survival-Analysis-of
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Qwen3.5-Omni: Fully Omnimodal AI Model with Thinker-Talker Architecture
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“Qwen3.5-Omni Technical Report” Qwen3.5-Omni is a fully omnimodal model that understands text, images, video, and audio, then responds with text or real-time speech. The architecture they use is a Thinker-Talker split, where the Thinker performs multimodal reasoning, while the
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OpenAI announces ChatGPT Images 2.0 with improved accuracy and text rendering
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ChatGPT Images 2.0 is a step change in detailed instruction following, placing and relating objects accurately, and rendering dense text, with the ability to generate across aspect ratios. It’s also accurate across languages and uses its expanded visual and world knowledge to
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Two New Approaches to Predict RNA 3D Structure
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Predicting RNA 3D structure is a grand challenge of biology. 2 new approaches published today to get at it https://
sciencedirect.com/science/articl
e/pii/S1097276526002054?viaihub
… @MolecularCell https://
nature.com/articles/s4225
6-026-01223-x
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Softmax Creator Regrets Terminology Choice, Suggests Softargmax
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John Bridle himself, the man who coined the term "softmax", says that he should have called it "softargmax"
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OneVL: One-Step Latent Reasoning and Planning with Vision-Language
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OneVL One-Step Latent Reasoning and Planning with Vision-Language Explanation paper: https://
huggingface.co/papers/2604.18
486
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Free AI/ML Learning Roadmap: Math to Production
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Free AI/ML learning roadmap:
Math → ML/DL → specialization → production. Stats/Linear Alg/Calc: Khan Academy, 3Blue1Brown Practice: Kaggle Learn Core ML: Coursera ML, scikit-learn DL: http://
DeepLearning.AI, http://
fast.ai Frameworks: PyTorch/TensorFlow/Keras -
Agent-World: Scaling Real-World Environment Synthesis for General Agents
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Agent-World Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence paper: https://
huggingface.co/papers/2604.18
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