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中国科学院半导体研究所高速电路与神经网络实验室刘婧逸博士一篇论文被人工智能顶刊Neural Networks录用（图）
中国科学院 高速电路 神经网络 刘婧逸 人工智能 Neural Networks
2023/11/28
近日，实验室2021级博士研究生刘婧逸的学术论文《SNR: Symbolic Network-based Rectifiable Learning Framework for Symbolic Regression》被人工智能顶级期刊Neural Networks录用。《Neural Networks》是世界上三个最古老的神经建模学会的档案期刊:国际神经网络学会(INNS)、欧洲神经网络学会(EN...
In the vast, expansive skies where birds once ruled supreme, a new crop of aviators is taking flight. These pioneers of the air are not living creatures, but rather a product of deliberate innovation:...
A method for designing neural networks optimally suited for certain tasks（图）
神经网络 机器学习模型 计算机网络
2023/6/20
Neural networks, a type of machine-learning model, are being used to help humans complete a wide variety of tasks, from predicting if someone’s credit score is high enough to qualify for a loan to dia...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Implicit biases of optimization algorithms for neural networks and their effects on generalization
神经网络 优化算法 隐式偏差 泛化的影响
2023/4/26
Modern neural networks are usually over-parameterized—the number of parameters exceeds the number of training data. In this case the loss functions tend to have many (or even infinite) global minima, ...
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Calculation of high-order harmonic generation of atoms and molecules by combining time series prediction and neural networks
时间序列预测 神经网络计算 原子分子 高阶谐波生成
2023/5/9
High-order harmonic generation (HHG) from the interaction of ultra-intense laser pulses with atoms is an important tabletop short-wave coherent light source. Accurate quantum simulations of it present...
Many of us easily recognize emotions expressed in others’ faces. A smile may mean happiness, while a frown may indicate anger. Autistic people often have a more difficult time with this task. It’s unc...
VAULT MODELING WITH NEURAL NETWORKS
Automation Machine learning Modeling Neural Network Point cloud Vault
2019/3/1
Nowadays, the digital reconstruction of vaults is carried out using photogrammetric and laser scanning techniques able to capture the visible surface with dense point clouds. Then, different modeling ...
Following the successes of previous events, the 15th International Symposium on Neural Networks (ISNN 2018) will be held in Minsk, Belarus. Located by the Svislach and the Nyamiha Rivers, Minsk is the...
2017自然语言处理的自然神经网络和序列模型研讨会（Workshop on CONVOLUTIONAL NEURAL NETWORKS AND SEQUENCE MODELS FOR NATURAL LANGUAGE PROCESSING TASKS）
2017 自然语言处理 自然神经网络 序列模型 研讨会
2017/5/22
Deep Learning for NLP brings forth new and unprecedented challenges. While deep learning has been employed very successfully in image processing, the NLP community is still coming to terms with the ap...
GAIT RECOGNITION BASED ON CONVOLUTIONAL NEURAL NETWORKS
Gait Recognition Biometrics Convolutional Neural Networks Optical Flow
2017/6/19
In this work we investigate the problem of people recognition by their gait. For this task, we implement deep learning approach using the optical flow as the main source of motion information and comb...
The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14–19, 2017. The conference is or...
Welcome to the 14th International Conference on Wearable and Implantable Body Sensor Networks (BSN2017) website. Wearable biosensors are becoming increasingly pervasive. Although many of these device...
2017年国际神经网络联合会议（The 2017 International Joint Conference on Neural Networks）
2017年 国际神经网络联合 会议
2017/2/14
The 2017 International Joint Conference on Neural Networks (IJCNN 2017) will be held at the William A. Egan Civic and Convention Center in Anchorage, Alaska, USA, May 14–19, 2017. The ...
Following the successes of previous events, the 14th International Symposium on Neural Networks (ISNN 2017) will be held in Sapporo, Hokkaido, Japan. Located in northern island of Hokkaido, Sapporo is...
Visual Character Recognition using Artificial Neural Networks
text recognition character recognition pattern recognition neural networking artificial intelligence
2015/8/5
The recognition of optical characters is known to be one of the earliest applications of Artificial Neural Networks, which partially emulate human thinking in the domain of artificial intelligence. In...