Results 71 to 80 of about 448,167 (282)

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Generating Hard-Label Black-Box Adversarial Examples for Video Recognition Models

Mathematics
In recent years, video recognition models have witnessed the rapid development of Deep Neural Networks (DNNs). However, these models remain not robust to adversarial examples that are created by adding imperceptible perturbations to clean samples. Recent
Yulin Jing, Lijun Wu, Kaile Su, Wei Wu, Zhiyuan Li, Qi Deng   +5 more
doaj   +1 more source

Adversarial Attacks and Defense in Deep Reinforcement Learning (DRL)-Based Traffic Signal Controllers

IEEE Open Journal of Intelligent Transportation Systems, 2021
Security attacks on intelligent transportation systems (ITS) may result in life-threatening situations. Combining deep neural networks with reinforcement learning (RL) models called DRL shows promising results when applied to urban Traffic Signal Control
Ammar Haydari, Michael Zhang, Chen-Nee Chuah   +2 more
doaj   +1 more source

Selecting Algorithms for Black Box Matrices: Checking for Matrix Properties That Can Simplify Computations

, 2016
Processes to automate the selection of appropriate algorithms for various matrix computations are described. In particular, processes to check for, and certify, various matrix properties of black box matrices are presented.
Eberly, Wayne
core   +2 more sources

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

COCO: The Experimental Procedure [PDF]

, 2016
We present a budget-free experimental setup and procedure for benchmarking numericaloptimization algorithms in a black-box scenario. This procedure can be applied with the COCO benchmarking platform.
Auger, Anne, Brockhoff, Dimo, Hansen, Nikolaus, Mersmann, Olaf, Tusar, Tea   +4 more
core   +3 more sources

Improved Bounds on Quantum Learning Algorithms

, 2004
In this article we give several new results on the complexity of algorithms that learn Boolean functions from quantum queries and quantum examples. Hunziker et al.
A. Blumer, A. Ehrenfeucht, Alp Atici, C. Bennett, D. Angluin, D. Deutsch, D.R. Simon, E. Bernstein, E. Farhi, L. Hellerstein, L.G. Valiant, M. Boyer, N. Bshouty, N.H. Bshouty, R.A. Servedio, Rocco A. Servedio, Y. Shi   +16 more
core   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

Efficient black-box attack with surrogate models and multiple universal adversarial perturbations

Scientific Reports
Deep learning models are inherently vulnerable to adversarial examples, particularly in black-box settings where attackers have limited knowledge of the target model.
Tao Ma, Hong Zhao, Ling Tang, Mingsheng Xue, Jing Liu   +4 more
doaj   +1 more source

Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code

Entropy
Can we turn AI black boxes into code? Although this mission sounds extremely challenging, we show that it is not entirely impossible by presenting a proof-of-concept method, MIPS, that can synthesize programs based on the automated mechanistic ...
Eric J. Michaud, Isaac Liao, Vedang Lad, Ziming Liu, Anish Mudide, Chloe Loughridge, Zifan Carl Guo, Tara Rezaei Kheirkhah, Mateja Vukelić, Max Tegmark   +9 more
doaj   +1 more source