Searching for Cosmological Collider in the Planck CMB Data II: collider templates and Modal analysis

Posted by klaurent Cambridge

Kavli Affiliate: E. P. S. Shellard | Summary:Signatures of massive particles during inflation are highly informative targets for cosmological experiments. With recent progress on both theoretical and observational frontiers, we have reached the point where these novel signals of primordial non-Gaussianities (PNG) can be systematically tested with increasingly precise data. In this paper, we present […]


Continue.. Searching for Cosmological Collider in the Planck CMB Data II: collider templates and Modal analysis

The rotation curve of the Milky Way measured by Classical Cepheids from Gaia DR3

Posted by klaurent Peking

Kavli Affiliate: Huawei Zhang | Summary:We determine the rotation curve (RC) of the Milky Way in the range 6 < R < 18 kpc using a sample of 903 carefully selected classical Cepheids with precise proper motions and high-quality radial velocities from emphGaia DR3. Their distances can be accurately measured from the well-known Period-Wesenheit relations. […]


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Numerical simulation of lunar response to gravitational waves and its 3D topographic effect using the spectral-element method

Posted by klaurent Peking

Kavli Affiliate: Xian Chen| Summary: The Moon has been regarded as a natural Weber bar capable of amplifying gravitational waves (GWs) for detecting events across a wide range of frequencies. However, accurately determining the amplification effects remains challenging due to the absence of 3D numerical simulation methods. In this study, we develop a high-order 3D […]


Continue.. Numerical simulation of lunar response to gravitational waves and its 3D topographic effect using the spectral-element method

A Modal Approach to Constrain Inflation through Numerical Bispectra

Posted by klaurent Cambridge

Kavli Affiliate: E. P. S. Shellard | Summary:Constraining inflationary models with high precision bispectra across broad parameter ranges is a challenging task, requiring intensive computations at all stages, first, predicting the primordial inflation bispectrum from quantum field theory, secondly, projecting this forward with transfer functions to the late universe and, finally, comparing with the bispectrum […]


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Channel-last gate-all-around nanosheet oxide semiconductor transistors

Posted by klaurent Stanford

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:As we move beyond the era of transistor miniaturization, back-end-of-line-compatible transistors that can be stacked monolithically in the third dimension promise improved performance for low-power electronics. In advanced transistor architectures, such as gate-all-around nanosheets, the conventional channel-first process involves depositing dielectrics directly […]


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RoboCade: Gamifying Robot Data Collection

Posted by klaurent Stanford

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Imitation learning from human demonstrations has become a dominant approach for training autonomous robot policies. However, collecting demonstration datasets is costly: it often requires access to robots and needs sustained effort in a tedious, long process. These factors limit the scale of […]


Continue.. RoboCade: Gamifying Robot Data Collection

RoboCade: Gamifying Robot Data Collection

Posted by klaurent Stanford

Kavli Affiliate: Hsiao-Mei (Sherry) Cho| First 5 Authors: [#item_custom_name[1, [#item_custom_name[2, [#item_custom_name[3, [#item_custom_name[4, [#item_custom_name[5| Summary:Imitation learning from human demonstrations has become a dominant approach for training autonomous robot policies. However, collecting demonstration datasets is costly: it often requires access to robots and needs sustained effort in a tedious, long process. These factors limit the scale of […]


Continue.. RoboCade: Gamifying Robot Data Collection

High-Fidelity Neural Speech Reconstruction through an Efficient Acoustic-Linguistic Dual-Pathway Framework

Posted by dbos UCSF

Kavli Affiliate: Edward Chang | Authors: Jiawei Li, Chunxu Guo, Chao Zhang, Edward F Chang and Yuanning Li | Summary: Reconstructing speech from neural recordings is crucial for understanding speech coding and developing brain-computer interfaces (BCIs). However, existing methods trade off acoustic richness (pitch, prosody) for linguistic intelligibility (words, phonemes). To overcome this limitation, we […]


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Rarely categorical and highly separable: how neural representations change along the cortical hierarchy

Posted by dbos Columbia

Kavli Affiliate: Stefano Fusi and Liam Paninski | Authors: Lorenzo Posani, Shuqi Wang, Samuel Muscinelli, Liam Paninski and Stefano Fusi | Summary: A long-standing debate in neuroscience concerns whether individual neurons are organized into functionally distinct populations that encode information differently (“categorical” representations [1–3]) and the implications for neural computation. Here, we systematically analyzed how […]


Continue.. Rarely categorical and highly separable: how neural representations change along the cortical hierarchy

Analytical quantification of strongly disordered discrete time crystals

Posted by klaurent UCAS

Kavli Affiliate: Biao Huang | Summary:We introduce an analytical framework to calculate the values of key observables in a strongly disordered discrete time crystal (DTC) without fitting parameter. The perturbatively obtained closed-form formulae show quantitative agreement with numerical simulations of inverse participation ratios for eigenstate localization in Fock space, Edwards-Anderson parameters for spin-glass orders, mutual […]


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