Live
•Black Hat USADark Reading•Black Hat AsiaAI Business•Shahed-killing interceptor drones may look simple, but building them to keep up with the threat isn't easyBusiness Insider•Uber drivers: Your boss knows you're using Tesla's FSD on the jobBusiness Insider•PitchBook: US venture funding surges to record $267B as OpenAI, Anthropic and xAI dominate AI deals - SiliconANGLEGoogle News: OpenAI•SECURE: Stable Early Collision Understanding via Robust Embeddings in Autonomous DrivingarXiv•Forecasting Supply Chain Disruptions with Foresight LearningarXiv•Efficient and Principled Scientific Discovery through Bayesian Optimization: A TutorialarXiv•Model Merging via Data-Free Covariance EstimationarXiv•Detecting Complex Money Laundering Patterns with Incremental and Distributed Graph ModelingarXiv•DySCo: Dynamic Semantic Compression for Effective Long-term Time Series ForecastingarXiv•Sven: Singular Value Descent as a Computationally Efficient Natural Gradient MethodarXiv•UQ-SHRED: uncertainty quantification of shallow recurrent decoder networks for sparse sensing via engressionarXiv•Massively Parallel Exact Inference for Hawkes ProcessesarXiv•Black Hat USADark Reading•Black Hat AsiaAI Business•Shahed-killing interceptor drones may look simple, but building them to keep up with the threat isn't easyBusiness Insider•Uber drivers: Your boss knows you're using Tesla's FSD on the jobBusiness Insider•PitchBook: US venture funding surges to record $267B as OpenAI, Anthropic and xAI dominate AI deals - SiliconANGLEGoogle News: OpenAI•SECURE: Stable Early Collision Understanding via Robust Embeddings in Autonomous DrivingarXiv•Forecasting Supply Chain Disruptions with Foresight LearningarXiv•Efficient and Principled Scientific Discovery through Bayesian Optimization: A TutorialarXiv•Model Merging via Data-Free Covariance EstimationarXiv•Detecting Complex Money Laundering Patterns with Incremental and Distributed Graph ModelingarXiv•DySCo: Dynamic Semantic Compression for Effective Long-term Time Series ForecastingarXiv•Sven: Singular Value Descent as a Computationally Efficient Natural Gradient MethodarXiv•UQ-SHRED: uncertainty quantification of shallow recurrent decoder networks for sparse sensing via engressionarXiv•Massively Parallel Exact Inference for Hawkes ProcessesarXiv
AI NEWS HUBbyEIGENVECTOREigenvector

Knowledge Quiz

Test your understanding of this article

1.What is the primary domain in which TurboAngle quantizes angles for KV cache compression?

2.What technique does TurboAngle use to make consecutive element pairs approximately uniformly distributed on the unit circle?

3.What is the purpose of 'per-layer early-boost' in TurboAngle?

4.According to the abstract, what was the perplexity degradation observed on Mistral-7B when using asymmetric norm quantization with TurboAngle?