Luke Y Prince,Blake A Richards
Luke Y Prince
What is the purpose of dreaming? Many scientists have postulated a role for dreaming in learning, often with the aim of improving generative models. In this issue of Patterns, Erik Hoel proposes a novel hypothesis, namely, that dreaming pro...
Daniel S Katz,Morane Gruenpeter,Tom Honeyman
Daniel S Katz
[This corrects the article DOI: 10.1016/j.patter.2021.100222.]. © 2021 The Authors.
Published Erratum
Patterns (New York, N.Y.). 2021 May 14;2(5):100267. DOI:10.1016/j.patter.2021.100267 2021
Data visualization for Industry 4.0: A stepping-stone toward a digital future, bridging the gap between academia and industry [0.03%]
通向数字未来的一步：面向工业4.0的数据可视化技术及产学研合作方向展望
Louis Allen,Jack Atkinson,Dinusha Jayasundara et al.
Louis Allen et al.
Here, we analyze the potential of advanced data-visualization dashboards as an enabling technology for Industry 4.0. High-dimensional, real-time visualization allows the graphical expression of complex process variables at a fraction of the...
Geoff Engelstein
Geoff Engelstein
Calculating probabilities and results distributions is an important element of board game design. McDie is a node-based Monte Carlo simulator to help designers to rapidly iterate through different game mechanisms to tune them for their purp...
Siavash Raeisi Dehkordi,Jens Luebeck,Vineet Bafna
Siavash Raeisi Dehkordi
Optical mapping (OM) provides single-molecule readouts of fluorescently labeled sequence motifs on long fragments of DNA, resolved to nucleotide-level coordinates. With the advent of microfluidic technologies for analysis of DNA molecules, ...
Sara Hooker
Sara Hooker
A surprisingly sticky belief is that a machine learning model merely reflects existing algorithmic bias in the dataset and does not itself contribute to harm. Why, despite clear evidence to the contrary, does the myth of the impartial model...
Sarah Callaghan,Tessa Darbyshire,Sahar Farajnia
Sarah Callaghan
Preview of machine learning the quantum-chemical properties of metal-organic frameworks for accelerated materials discovery [0.03%]
机器学习金属有机框架的量子化学性质以加速材料发现的发展展望
Sarah Callaghan
Sarah Callaghan
Metal-organic frameworks (MOFs) are a class of chemical compounds used for the storage of gases such as hydrogen and carbon dioxide. They also have potential applications in gas purification, catalysis and as supercapacitors. A database of ...
Christopher Kuenneth,Arunkumar Chitteth Rajan,Huan Tran et al.
Christopher Kuenneth et al.
Modern data-driven tools are transforming application-specific polymer development cycles. Surrogate models that can be trained to predict properties of polymers are becoming commonplace. Nevertheless, these models do not utilize the full b...
Geometric graphs from data to aid classification tasks with Graph Convolutional Networks [0.03%]
从数据中提取几何图以增强基于图卷积网络的分类任务
Yifan Qian,Paul Expert,Pietro Panzarasa et al.
Yifan Qian et al.
Traditional classification tasks learn to assign samples to given classes based solely on sample features. This paradigm is evolving to include other sources of information, such as known relations between samples. Here, we show that, even ...