Tag: adversarial machine learning
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Multimodal Neural Operators for Fast TBI Biomechanical Modeling
Explore how multimodal neural operators enable real-time, accurate biomechanical modeling of traumatic brain injury, enhancing clinical decision-making.
StateX: Boost RNN Recall with Post-training State Expansion
Enhance RNN recall and in-context learning efficiently with StateX, a post-training framework expanding recurrent states without costly retraining.
Build AI Agents with SageMaker Models & MLflow
Learn how to build and deploy AI agents using Strands SDK, SageMaker models, and MLflow for continuous improvement and observability.
UR2: Unified Retrieval and Reasoning via Reinforcement Learning
Discover UR2, a novel framework unifying retrieval-augmented generation and reasoning with reinforcement learning for enhanced AI performance.
KuaiLive Dataset for Real-Time Live Streaming Recommendations
Explore KuaiLive, a real-time interactive dataset from Kuaishou for enhancing live streaming recommendation systems with rich user behavior data.