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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...
Cornell researchers have developed an optical neural network (ONN) that can filter relevant information from a scene before the visual image is detected by a camera, a method that may make it possible...
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...
When two spacecrafts need to bridge a connection in orbit they dock. This means the onboard computers controlling their thrusters need unfettered communication between one another that cannot be disru...
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...
Deep learning networks may prefer the human voice--as we do（图）
Deep learning networks prefer human voice
2021/4/23
The digital revolution is built on a foundation of binaries, invisible 1s and 0s called bits. The notion that computers prefer to "speak" in binary numbers is rarely questioned. According to new resea...
Tiny optical cavities could make quantum networks possible（图）
Tiny optical cavities quantum networks
2020/4/10
Engineers at Caltech have shown that atoms in optical cavities -- tiny boxes for light -- could lead to the creation of a quantum internet. Their National Science Foundation-funded work...
Camera-trap research paves the way for global monitoring networks
Camera-trap research global monitoring networks
2017/7/24
Biodiversity loss is one of the driving factors in ecosystem change, on par with climate change and human development. When one species, especially a large predator, disappears from an area, other pop...
Stanford scientists study Pavlovian conditioning in neural networks
Stanford scientists Pavlovian conditioning neural networks
2017/3/30
In the decades following the work by physiologist Ivan Pavlov and his famous salivating dogs, scientists have discovered how molecules and cells in the brain learn to associate two stimuli, like Pavlo...
Living in the ‘90s?So are underwater wireless networks
Living the 90s underwater wireless networks
2016/2/22
Like Beanie Babies and Steve Urkel, the systems we use to transmit information through water bring to mind the 1990s.Related Assets:The flashback is due to the speed of today’s underwater communicatio...
Penn-Engineered Neural Networks Show Hope for Axonal Repair in the Brain,with Minimal Disruption to Brain Tissue
Penn-Engineered Neural Networks Show Axonal Repair in the Brain Minimal Disruption to Brain Tissue
2016/2/22
Lab-grown neural networks have the ability to replace lost axonal tracks in the brains of patients with severe head injuries, strokes or neurodegenerative diseases and can be safely delivered with min...
Climate models used to explain formation of Mars valley networks
Climate models Mars valley networks
2015/11/13
The extensive valley networks on the surface of Mars were probably created by running water billions of years ago, but the source of that water is unknown. Now, a team of Penn State and NASA researche...
Rice program models more detailed evolutionary networks from genetic data（图）
detailed evolutionary genetic data
2014/12/1
HOUSTON – (Nov. 12, 2014) – The tree has been an effective model of evolution for 150 years, but a Rice University computer scientist believes it’s far too simple to illustrate the breadth of current ...
For close to two decades, Cornell scientists have developed processes for using polymers to self-assemble inorganic nanoparticles into porous structures that could revolutionize electronics, energy an...