6 citations · 10 across the 3 of their papers we have counts for
4 papers
Physical AI: A Survey of Models, Learning, Systems, and Open Challenges
Bin Gao, Anuj Gautam, Aritra Bagchi +17
Physical AI aims to enable intelligent systems to perceive, reason, act, and learn through interaction with the physical world. Unlike purely digital intelligence, physical agents…
SPLASH: Co-Designing Sparse Attention with High-Bandwidth Flash for Efficient Long-Context Inference
Aditya Anirudh Jonnalagadda, Agasthi Haputhanthri, Pranav Dangi +5
The key-value (KV) cache has become the dominant consumer of memory in large language model (LLM) serving systems as context lengths, concurrency, and request lifetimes grow. High-…
Probabilistic Compute-in-Memory Design For Efficient Markov Chain Monte Carlo Sampling
Yihan Fu, Daijing Shi, Anjunyi Fan +4
Markov chain Monte Carlo (MCMC) is a widely used sampling method in modern artificial intelligence and probabilistic computing systems. It involves repetitive random number generat…
Effect of Sea-ice Drift on the Onset of Snowball Climate on Rapidly Rotating Aqua-planets
Wenshuo Yue, Jun Yang
Previous studies have shown that sea-ice drift effectively promote the onset of a globally ice-covered snowball climate for paleo Earth and for tidally locked planets around low-ma…