Probability of Presence Versus $ψ(x,t)^* ψ(x, t)$

Kavli Affiliate: Frank Wilczek | First 5 Authors: Frank Wilczek, Zara Yu, , , | Summary: Postulating the identification of $psi^*(x, t) psi(x,t)$ with a physical probability density is unsatisfactory conceptually and overly limited practically. For electrons, there is a simple, calculable relativistic correction proportional to $nabla psi^* cdot nabla psi$. In particular, zeroes of […]


Continue.. Probability of Presence Versus $ψ(x,t)^* ψ(x, t)$

Probability of Presence Versus $ψ(x,t)^* ψ(x, t)$

Kavli Affiliate: Frank Wilczek | First 5 Authors: Frank Wilczek, Zara Yu, , , | Summary: Postulating the identification of $psi^*(x, t) psi(x,t)$ with a physical probability density is unsatisfactory conceptually and overly limited practically. For electrons, there is a simple, calculable relativistic correction proportional to $nabla psi^* cdot nabla psi$. In particular, zeroes of […]


Continue.. Probability of Presence Versus $ψ(x,t)^* ψ(x, t)$

OptPDE: Discovering Novel Integrable Systems via AI-Human Collaboration

Kavli Affiliate: Max Tegmark | First 5 Authors: Subhash Kantamneni, Ziming Liu, Max Tegmark, , | Summary: Integrable partial differential equation (PDE) systems are of great interest in natural science, but are exceedingly rare and difficult to discover. To solve this, we introduce OptPDE, a first-of-its-kind machine learning approach that Optimizes PDEs’ coefficients to maximize […]


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DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chen Min, Dawei Zhao, Liang Xiao, Jian Zhao, Xinli Xu | Summary: Vision-centric autonomous driving has recently raised wide attention due to its lower cost. Pre-training is essential for extracting a universal representation. However, current vision-centric pre-training typically relies on either 2D or 3D pre-text tasks, overlooking […]


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Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Kavli Affiliate: Yi Zhou | First 5 Authors: Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad | Summary: Large Language Models (LLMs) trained on code are revolutionizing the software development process. Increasingly, code LLMs are being integrated into software development environments to improve the productivity of human programmers, and LLM-based agents are beginning […]


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Very Long Baseline Array Observations of Parsec-scale Radio Emission in Dual Active Galactic Nuclei

Kavli Affiliate: Luis C. Ho | First 5 Authors: Wancheng Xu, Lang Cui, Xiang Liu, Tao An, Hongmin Cao | Summary: It is believed that dual active galactic nuclei (dual AGN) will form during galaxies merge. Studying dual-AGN emission can provide valuable insights into galaxy merging and evolution. To investigate parsec-scale radio emission properties, we […]


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Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

Kavli Affiliate: Misao Sasaki | First 5 Authors: Teppei Okumura, Misao Sasaki, , , | Summary: Gravitational waves (GWs) may be produced by various mechanisms in the early universe. In particular, if parity is violated, it may lead to the production of parity-violating GWs. In this paper, we focus on GWs on the scale of […]


Continue.. Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

Kavli Affiliate: Misao Sasaki | First 5 Authors: Teppei Okumura, Misao Sasaki, , , | Summary: Gravitational waves (GWs) may be produced by various mechanisms in the early universe. In particular, if parity is violated, it may lead to the production of parity-violating GWs. In this paper, we focus on GWs on the scale of […]


Continue.. Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

IMU-Aided Event-based Stereo Visual Odometry

Kavli Affiliate: Yi Zhou | First 5 Authors: Junkai Niu, Sheng Zhong, Yi Zhou, , | Summary: Direct methods for event-based visual odometry solve the mapping and camera pose tracking sub-problems by establishing implicit data association in a way that the generative model of events is exploited. The main bottlenecks faced by state-of-the-art work in […]


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