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) sitting at the centre of galaxies, and form close pairs of active galactic nuclei (AGN). The fraction of AGN in pairs gives key information […]
Kavli Affiliate: Mark Ellisman | Authors: Stephen R Adams, Mason R Mackey, Ranjan Ramachandra, Thomas J Deerinck, Guillaume A Castillon, Sebastien Phan, Junru Hu, Daniela Boassa, John T Ngo and Mark H Ellisman | Summary: We introduce Fe-TAML, a small molecule-based peroxidase as a versatile new member of the correlated fluorescence and electron microscopy toolkit. […]
Kavli Affiliate: Sreeganga Chandra | Authors: Na Wang, Biqing Zhu, Mary Alice Allnutt, Rosalie M Grijalva, Hongyu Zhao and Sreeganga S Chandra | Summary: Synapse maintenance is essential for generating functional circuitry and decrement in this process is a hallmark of neurodegenerative disease. While we are beginning to understand the basis of synapse formation, much […]
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: 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: 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 set of more coherent and grounded representations that reflect the real world. We find 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 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 coherent model of the data generating process — a world model. We find evidence for […]