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When glacial ice sheets melt, something counterintuitive happens to sea levels. Logic might suggest that nearby levels would rise, but instead they fall.
Using adversarial attacks to refine molecular energy predictions（图）
对抗性攻击 分子能量预测 量化神经网络 分子能量 不确定性
2023/6/7
Neural networks (NNs) are increasingly being used to predict new materials, the rate and yield of chemical reactions, and drug-target interactions, among others. For these applications, they are order...
River flow: New machine learning methods could improve environmental predictions
river flow improve environmental predictions algorithm environmental prediction
2021/8/5
Machine learning algorithms do a lot for us every day -- send unwanted email to our spam folder, warn us if our car is about to back into something, and give us recommendations on what TV show to watc...
Simulating Homomorphic Evaluation of Deep Learning Predictions
neural networks homomorphic encryption TFHE
2019/5/31
Convolutional neural networks (CNNs) is a category of deep neural networks that are primarily used for classifying image data. Yet, their continuous gain in popularity poses important privacy concerns...
Chimera: a unified framework for B/FV, TFHE and HEAAN fully homomorphic encryption and predictions for deep learning
fully homomorphic encryption Ring-LWE neural network
2018/8/21
This work describes a common framework for scale-invariant families of fully homomorphic schemes based on Ring-LWE, unifying the plaintext space and the noise representation. This new formalization al...
2018年SPIE光学建模与性能预测会议（SPIE Optical Modeling and Performance Predictions X）
2018年 SPIE 光学建模与性能预测 会议
2017/11/27
This conference is dedicated to the modeling of imaging and non-imaging optical systems and associated test-equipment and related predictions of performance over a broad range of active and passive op...
Harvard University researchers have resolved a conflict in estimates of how much the Earth will warm in response to a doubling of carbon dioxide in the atmosphere.That conflict — between temperature r...
Oblivious Neural Network Predictions via MiniONN transformations
privacy machine learning neural network predictions
2017/5/25
Machine learning models hosted in a cloud service are increasingly popular but risk privacy: clients sending prediction requests to the service need to disclose potentially sensitive information. In t...
2017SPIE光学建模与性能预测专题会议（Optical Modeling and Performance Predictions IX）
2017 SPIE 光学建模与性能预测 专题会议
2017/4/25
2017SPIE光学建模与性能预测专题会议（Optical Modeling and Performance Predictions IX）。
2017 SPIE 光学建模与性能预测专题会议（Optical Modeling and Performance Predictions IX）
2017 SPIE 光学建模 性能预测 专题会议
2017/4/25
Conference Sessions:1: Space Telescopes and Coronagraphs ;2: Instruments and Systems ;3: Aero-Optic Models and Systems ;4: Materials and HEL Related Models Optical Engineering Plenary Session Optomech...
New findings from the University of Michigan explain an Ice Age paradox and add to the mounting evidence that climate change could bring higher seas than most models predict.The study, published in Na...
QUALITATIVE SCREENING METHOD FOR IMPACT ASSESSMENT OF UNCERTAIN BUILDING GEOMETRY ON THERMAL ENERGY DEMAND PREDICTIONS
Morris method Qualitative ranking Energy Demand CityGML
2016/10/14
Virtual 3D models of cities are now being extensively employed for the estimation of thermal energy demand at varying spatial and temporal scales. Efforts in preparing and management of the datasets r...
Predictions and Primitive Ontology in Quantum Foundations:A Study of Examples
quantum theory without observers Ghirardi–Rimini–Weber (GRW) theory of spontaneous wave function collapse Bohmian mechanics many-worlds view of quantum mechanics
2016/5/27
A major disagreement between different views about the foundations of quantum mechanics concerns whether for a theory to be intelligible as a fundamental physical theory it must involve a “primitive o...
Early use of 'hurricane hunter' data improves hurricane intensity predictions
Early hurricane hunter hurricane intensity predictions
2016/6/12
Data collected via airplane when a hurricane is developing can improve hurricane intensity predictions by up to 15 percent, according to Penn State researchers who have been working with the National ...
The saltiness, or salinity, of seawater depends largely on how much moisture is pulled into the air as evaporative winds sweep over the ocean. But pinpointing where the moisture rains back down is a c...