Kavli Affiliate: Roberto Maiolino | First 5 Authors: Michele Perna, Santiago Arribas, Isabella Lamperti, Chiara Circosta, Elena Bertola | Summary: Merger events can trigger gas accretion onto supermassive black holes (SMBHs) located at the centre of galaxies, and form close pairs of AGN. The fraction of AGN in pairs offers critical insights into the dynamics […]
Kavli Affiliate: Roberto Maiolino | First 5 Authors: Michele Perna, Santiago Arribas, Isabella Lamperti, Chiara Circosta, Elena Bertola | Summary: Merger events can trigger gas accretion onto supermassive black holes (SMBHs) located at the centre of galaxies, and form close pairs of AGN. The fraction of AGN in pairs offers critical insights into the dynamics […]
Kavli Affiliate: Robert L. Byer | First 5 Authors: Payton Broaddus, Thilo Egenolf, Dylan S. Black, Melanie Murillo, Clarisse Woodahl | Summary: We demonstrate a silicon-based electron accelerator that uses laser optical near fields to both accelerate and confine electrons over extended distances. Two dielectric laser accelerators (DLA) designs were tested, each consisting of two […]
Kavli Affiliate: Robert L. Byer | First 5 Authors: Payton Broaddus, Thilo Egenolf, Dylan S. Black, Melanie Murillo, Clarisse Woodahl | Summary: We demonstrate a silicon-based electron accelerator that uses laser optical near fields to both accelerate and confine electrons over extended distances. Two dielectric laser accelerator (DLA) designs were tested, each consisting of two […]
Kavli Affiliate: Chihway Chang | First 5 Authors: Dhayaa Anbajagane, Chihway Chang, Hayden Lee, Marco Gatti, | Summary: Primordial non-Gaussianities (PNGs) are signatures in the density field that encode particle physics processes from the inflationary epoch. Such signatures have been extensively studied using the Cosmic Microwave Background, through constraining the amplitudes, $f^{X}_{rm NL}$, with future […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Max Tegmark, , , | Summary: Neural scaling laws (NSL) refer to the phenomenon where model performance improves with scale. Sharma & Kaplan analyzed NSL using approximation theory and predict that MSE losses decay as $N^{-alpha}$, $alpha=4/d$, where $N$ is the number of model parameters, […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Ziming Liu, Max Tegmark, , , | Summary: Neural scaling laws (NSL) refer to the phenomenon where model performance improves with scale. Sharma & Kaplan analyzed NSL using approximation theory and predict that MSE losses decay as $N^{-alpha}$, $alpha=4/d$, where $N$ is the number of model parameters, […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Wes Gurnee, Max Tegmark, , , | Summary: The capabilities of large language models (LLMs) have sparked debate over whether such systems just learn an enormous collection of superficial statistics or a coherent model of the data generating process — a world model. We find evidence for […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Wes Gurnee, Max Tegmark, , , | Summary: The capabilities of large language models (LLMs) have sparked debate over whether such systems just learn an enormous collection of superficial statistics or a coherent model of the data generation process — a world model. We find preliminary evidence […]
Kavli Affiliate: Max Tegmark | First 5 Authors: Wes Gurnee, Max Tegmark, , , | Summary: The capabilities of large language models (LLMs) have sparked debate over whether such systems just learn an enormous collection of superficial statistics or a set of more coherent and grounded representations that reflect the real world. We find evidence […]