106 citations
- Duke UniversityUS4 papers
- United States Army Research OfficeUS4 papers
- Research Triangle Park FoundationUS3 papers
- University of North TexasUS3 papers
- Oak Ridge National LaboratoryUS2 papers
- Atacama Large Millimeter Submillimeter ArrayCL1 paper
- BiocomUS1 paper
- California Southern UniversityUS1 paper
- IBM Research - AlmadenUS1 paper
- IBM Research - ZurichCH1 paper
- IBM (United States)US1 paper
- Indiana University BloomingtonUS1 paper
13 papers
A Machian wave effect in conformal, scalar-tensor gravitational theory
José Rodal
Woodward proposed that driven mass-energy fluctuations could yield a frequency-dependent "Machian" gravitational response , amplified by a Scia…
Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting
Puja Das, August Posch, Nathan Barber +6
Precipitation nowcasting, critical for flood emergency and river management, has remained challenging for decades, although recent developments in deep generative modeling (DGM) su…
Forum on immune digital twins: a meeting report
Reinhard Laubenbacher, Fred Adler, Gary An +16
Medical digital twins are computational models of human biology relevant to a given medical condition, which can be tailored to an individual patient, thereby predicting the course…
Efficient Long-Range Entanglement using Dynamic Circuits
Elisa Bäumer, Vinay Tripathi, Derek S. Wang +5
Quantum simulation traditionally relies on unitary dynamics, inherently imposing efficiency constraints on the generation of intricate entangled states. In principle, these limitat…
Uncertainty-based Modulation for Lifelong Learning
Andrew Brna, Ryan Brown, Patrick Connolly +3
The creation of machine learning algorithms for intelligent agents capable of continuous, lifelong learning is a critical objective for algorithms being deployed on real-life syste…
RED: A ReRAM-based Deconvolution Accelerator
Zichen Fan, Ziru Li, Bing Li +3
Deconvolution has been widespread in neural networks. For example, it is essential for performing unsupervised learning in generative adversarial networks or constructing fully con…