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CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

#General, Artificial Intelligence, arXiv, D. Learning, Deep Learning (Article), Educación | 🇬🇧 Education, English, English (Articles), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Laboratory, Medium, news, Not numbered, Open Access

CNN Explainer tightly integrates a model overview that summarizes a CNN’s structure, and on-demand, dynamic visual explanation views that help users understand the underlying components of CNNs. Through smooth transitions across levels of abstraction, our tool enables users to inspect the interplay between low-level mathematical operations and high-level model structures.

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Auto Quantum Circuits

#Programmer, Artificial Intelligence, Educación | 🇬🇧 Education, English, English (Articles), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Laboratory, ML, news, Not numbered, Open Access, PCs Cuánticos | 🇬🇧 Quantum PCs, Programación y frameworks en IA | 🇬🇧 Programming and frameworks in AI, Quantum computing (Article), Research, Uncategorized

«AutoQML, self-assembling circuits, hyper-parameterized Quantum ML platform, using cirq, tensorflow and tfq. Trillions of possible qubit registries, gate combinations and moment sequences, ready to be adapted into your ML flow. Here I demonstrate climatechange, jameswebbspacetelescope and microbiology vision applications… [Thus far, a circuit with 16-Qubits and a gate sequence of [ YY ] – [ XX ] – [CNOT]

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AI and the Future of Skills, Volume 1

#General, Artificial Intelligence, Basic, Copyright, Ebooks, Educación | 🇬🇧 Education, English, English (Articles), English (Ebook), Ética | 🇬🇧 Ethics, General Principles and Practice, Importan to, Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Investigation, Law and Ethics (Article), news, Numbered, OECD, Open Access, Published resource license, TheSociety

The OECD launched the Artificial Intelligence and the Future of Skills project to develop a programme that could assess the capabilities of AI and robotics and their impact on education and work. This report represents the first step in developing the methodological approach of the project.

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Ethics-based auditing of automated decision-making systems: intervention points and policy implications

#General, articles, Artificial Intelligence, by, Creative Commons, Educación | 🇬🇧 Education, English (Articles), English (Paper), Ética | 🇬🇧 Ethics, Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Law and Ethics (Article), Law and Ethics (Paper), news, Numbered, Papers, Research, Springer

Organisations increasingly use automated decision-making systems (ADMS) to inform decisions that affect humans and their environment. While the use of ADMS can improve the accuracy and efficiency of decision-making processes, it is also coupled with ethical challenges. Unfortunately, the governance mechanisms currently used to oversee human decision-making often fail when applied to ADMS.

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Introduction to Datascience: Learn Julia Programming, Math & Datascience from Scratch

#Datascience, articles, Artificial Intelligence, Ciencia de Datos | 🇬🇧 Data Science, Data Mining (Article), Data Science, Ebooks, Educación | 🇬🇧 Education, English, English (Articles), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Medium, news, Not numbered, Open Access, Programación y frameworks en IA | 🇬🇧 Programming and frameworks in AI

I was emboldened to write this book after my video series called Data Science With Julia got some traction. That too after a tweet about Decision Tree was liked by Julia Language itself. So I thought why not give it more?

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Human Learn

#Programmer, Advanced, Artificial Intelligence, D. Learning, Educación | 🇬🇧 Education, English (Articles), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Laboratory, Machine Learning (Article), MIT, news, Not numbered, Open Access, Uncategorized

Machine learning covers a lot of ground but it is also capable of making bad decision. We’ve also reached a stage of hype that folks forget that many classification problems can be handled by natural intelligence too. This package contains scikit-learn compatible tools that should make it easier to construct and benchmark rule based systems

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How to avoid machine learning pitfalls: a guide for academic researchers

#General, Artificial Intelligence, arXiv, Creative Commons, D. Learning, Educación | 🇬🇧 Education, English (Articles), English (Paper), Formación | 🇬🇧 Training, Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Machine Learning (Article), Machine Learning (Paper), news, Numbered, Open Access, Opinion, Papers, Research, Researcher

This document gives a concise outline of some of the common mistakes that occur when using machine learning techniques, and what can be done to avoid them. It is intended primarily as a guide for research students, and focuses on issues that are of particular concern within academic research, such as the need to do

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Data as the main focus of “State of the art of data science in Spanish language and its application in the field of Artificial Intelligence”

#Datascience, Artificial Intelligence, by, Ciencia de Datos | 🇬🇧 Data Science, Data Mining (Article), Datascience (Paper), Educación | 🇬🇧 Education, English (Articles), English (Paper), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, news, Numbered, Open Access, Openscience.online, Outside The wall, RECOMMENDATIONS, Research, Spanish

According to the results, there is an evidence of cultural bias for data science in Spanish language. The outcome of the consultation, which carried out on 12 April 2021, confirms that only 10 out of 23.771 datasets “speaks” Spanish.”

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labml.ai Deep Learning Paper Implementations

#Programmer, Artificial Intelligence, D. Learning, Deep Learning (Article), Deep Learning (Tutorial), Educación | 🇬🇧 Education, English (Articles), English (Tutorial), Formación | 🇬🇧 Training, Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, MIT, news, Normal, Not numbered, Open Access, Research, Tutorials

This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations, and the website renders these as side-by-side formatted notes. We believe these would help you understand these algorithms better.

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Framework based on parameterized images on ResNet to identify intrusions in smartwatches or other related devices

Artificial Intelligence, by-nc-nd, Ciberseguridad | 🇬🇧 Cybersecurity, cybersecurity, Cybersecurity (Articles), Cybersecurity (Paper), Educación | 🇬🇧 Education, English (Articles), English (Paper), Importan to, Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, news, Numbered, Open Access, Openscience.online, Papers, Research, Spanish, TheSociety

The continuous appearance and improvement of mobile devices in the form of smartwatches, smartphones and other similar devices has led to a growing and unfair interest in putting their users under the magnifying glass and control of applications.

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