Granite 4.0 3B Vision: Compact Multimodal Intelligence for Enterprise Documents
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From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Granite Switch 4.1.1 — Update models like you update software
A Blog post by IBM Granite on Hugging Face
Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Introducing AnySpeechRecognizer and AnyDecisionModel: Open Models for Speech and Decisions on Apple Platforms
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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An algorithm is proposed which leverages disentangled semantic factors to generate adversarial perturbation by altering controlled semantic attributes to fool the learner towards various "adversarial" targets.
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This paper presents a comprehensive overview of the Ultralytics YOLO family, emphasizing architectural evolution, benchmarking, deployment, and emerging directions from YOLOv5 through YOLO27, and examines detection, segmentation, depth, classification, pose, oriented detection, tracking, export, quantization, and deplo...
PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection
Empirically, PRISM reduces the end-to-end time for data selection and model tuning to just 30% of conventional pipelines, and achieves this efficiency while simultaneously enhancing performance, surpassing models fine-tuned on the full dataset across eight multimodal and three language understanding benchmarks.