Black-Box Access is Insufficient for Rigorous AI Audits

Kavli Affiliate: Max Tegmark | First 5 Authors: Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis | Summary: External audits of AI systems are increasingly recognized as a key mechanism for AI governance. The effectiveness of an audit, however, depends on the degree of access granted to auditors. Recent audits of state-of-the-art […]


Continue.. Black-Box Access is Insufficient for Rigorous AI Audits

Black-Box Access is Insufficient for Rigorous AI Audits

Kavli Affiliate: Max Tegmark | First 5 Authors: Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis | Summary: External audits of AI systems are increasingly recognized as a key mechanism for AI governance. The effectiveness of an audit, however, depends on the degree of system access granted to auditors. Recent audits of […]


Continue.. Black-Box Access is Insufficient for Rigorous AI Audits

The BLAST Observatory: A Sensitivity Study for Far-IR Balloon-borne Polarimeters

Kavli Affiliate: Susan E. Clark | First 5 Authors: The BLAST Observatory Collaboration, Gabriele Coppi, Simon Dicker, James E. Aguirre, Jason E. Austermann | Summary: Sensitive wide-field observations of polarized thermal emission from interstellar dust grains will allow astronomers to address key outstanding questions about the life cycle of matter and energy driving the formation […]


Continue.. The BLAST Observatory: A Sensitivity Study for Far-IR Balloon-borne Polarimeters

The BLAST Observatory: A Sensitivity Study for Far-IR Balloon-borne Polarimeters

Kavli Affiliate: Susan E. Clark | First 5 Authors: The BLAST Observatory Collaboration, Gabriele Coppi, Simon Dicker, James E. Aguirre, Jason E. Austermann | Summary: Sensitive wide-field observations of polarized thermal emission from interstellar dust grains will allow astronomers to address key outstanding questions about the life cycle of matter and energy driving the formation […]


Continue.. The BLAST Observatory: A Sensitivity Study for Far-IR Balloon-borne Polarimeters

Non-symmetrical sparking may hint “zits” on a pulsar surface

Kavli Affiliate: Renxin Xu | First 5 Authors: Zhengli Wang, Jiguang Lu, Jingchen Jiang, Shunshun Cao, Weiyang Wang | Summary: Pulsar electrodynamics could be relevant to the physics of stellar surface, which remains poorly understood for more than half a centenary and is difficult to probe due to the absence of direct and clear observational […]


Continue.. Non-symmetrical sparking may hint “zits” on a pulsar surface

GauU-Scene: A Scene Reconstruction Benchmark on Large Scale 3D Reconstruction Dataset Using Gaussian Splatting

Kavli Affiliate: Zhuo Li | First 5 Authors: Butian Xiong, Zhuo Li, Zhen Li, , | Summary: We introduce a novel large-scale scene reconstruction benchmark using the newly developed 3D representation approach, Gaussian Splatting, on our expansive U-Scene dataset. U-Scene encompasses over one and a half square kilometres, featuring a comprehensive RGB dataset coupled with […]


Continue.. GauU-Scene: A Scene Reconstruction Benchmark on Large Scale 3D Reconstruction Dataset Using Gaussian Splatting

Comparison between time-domain and frequency-domain Bayesian inferences to inspiral-merger-ringdown gravitational-wave signals

Kavli Affiliate: Lijing Shao | First 5 Authors: Hai-Tian Wang, Lijing Shao, , , | Summary: Time-domain (TD) Bayesian inference is important in ringdown analysis for gravitational wave (GW) astronomy. The validity of this method has been well studied by Isi and Farr [1]. Using GW190521 as an example, we study the TD method in […]


Continue.. Comparison between time-domain and frequency-domain Bayesian inferences to inspiral-merger-ringdown gravitational-wave signals

Machine learning for industrial sensing and control: A survey and practical perspective

Kavli Affiliate: Biao Huang | First 5 Authors: Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, Aditya Tulsyan, Faraz Amjad | Summary: With the rise of deep learning, there has been renewed interest within the process industries to utilize data on large-scale nonlinear sensing and control problems. We identify key statistical and machine learning […]


Continue.. Machine learning for industrial sensing and control: A survey and practical perspective

The emergence of antiferromagnetic correlations and Kondo-like features in a two-band model for infinite-layer nickelates

Kavli Affiliate: Cheng Peng | First 5 Authors: Fangze Liu, Cheng Peng, Edwin W. Huang, Brian Moritz, Chunjing Jia | Summary: We report a determinant quantum Monte Carlo study of a two-band model, inspired by infinite-layer nickelates, focusing on the influence of interlayer hybridization between $3d_{x^2-y^2}$ orbitals derived from Ni (or Ni and O) in […]


Continue.. The emergence of antiferromagnetic correlations and Kondo-like features in a two-band model for infinite-layer nickelates

The Emergence of Antiferromagnetic Correlations and Kondo-like Features in a Two-Band Model for Infinite-Layer Nickelates

Kavli Affiliate: Cheng Peng | First 5 Authors: Fangze Liu, Cheng Peng, Edwin W. Huang, Brian Moritz, Chunjing Jia | Summary: We report a determinant quantum Monte Carlo study of a two-band model, inspired by infinite-layer nickelates, focusing on the influence of interlayer hybridization between $3d_{x^2-y^2}$ orbitals derived from Ni (or Ni and O) in […]


Continue.. The Emergence of Antiferromagnetic Correlations and Kondo-like Features in a Two-Band Model for Infinite-Layer Nickelates