来自MSN

You should learn this trick — a simple method that changes everything

This simple but powerful trick can completely change how you approach problems, saving time and reducing confusion. Learn the clear method behind it, why it works so well, and how to apply it across ...
Frontiers

Correction: Short-time photovoltaic output prediction method based on depthwise separable ...

Clevert, D.-A., Untertiner, T., and Hochreiter, S. (2016). Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs). arXiv [Preprint]. Available ...
GitHub

A Reinforcement Learning Perspective with

We are grateful for the many thoughtful comments and feedback from the community regarding DFT, ranging from discussions of related ideas to reports of its application in different scenarios. We have ...
IEEE

Holistic Memory DFT Partitioning Using a Convolution-Based Algorithm

Abstract: The number of embedded memory instances within complex System-on-Chips (SoC) can be exceptionally high, occupying up to 80% of total Design-for-Test (DFT) area [1]. Designers aim to achieve ...
Scientific Research Publishing

Plunger Pump Fault Diagnosis Method Based on Wavelet Convolution and Multi-Head Self ...

To address the issues of low accuracy, high dependence on prior knowledge, and poor adaptability in fusing multi-channel features in existing plunger pump fault diagnosis methods, a new method based ...
IEEE

A New Method of Convolution Operation in the Scene of Superimposed Oscillation Components

Abstract: The existing frequency domain convolution operation methods mainly focus on studying single frequencies and are difficult to adapt to the construction of small signal models in oscillation ...
Microsoft

Deep learning for DFT

In Density Functional Theory, the exchange correlation functional captures the complex relationship between its input—the electron density — and its output: the exchange-correlation energy. The ...
Frontiers

A deep learning-based data augmentation method for marine mammal call signals

1 School of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China 2 Shandong Key Laboratory of Deep Sea Equipment Intelligent Networking, Qingdao, Shandong, ...
C&EN

Machine Learning Prediction of Optical Properties of Coumarin Derivatives Using Gaussian ...

Department of Chemistry and Research Institute for Natural Science, Korea University, Seoul 02841, Korea ...
The Conversation

What is reinforcement learning? An AI researcher explains a key method of teaching machines ...

Ambuj Tewari receives funding from NSF and NIH. Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a ...
Science Daily

A geometric deep learning method for decoding brain dynamics

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...