Agentic Inequality: AI’s Impact on Power and Access

Explore agentic inequality, the AI-driven gap in access, quality, and power of autonomous agents shaping society's future.

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.

Efficient N:M Activation Sparsity for Next-Gen AI Accelerators

Explore lightweight post-training N:M activation sparsity methods to boost LLM efficiency and guide future AI hardware development.

SecureVibeBench: Benchmarking AI Secure Coding in C/C++

SecureVibeBench evaluates AI agents' ability to write secure C/C++ code, highlighting challenges in preventing vulnerabilities in AI-generated software.

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