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Federated Learning: Issues in Medical Application

Artificial Intelligence, arXiv, Ciencia de Datos | 🇬🇧 Data Science, Copyright, Creative Commons, D. Learning, English, English (Articles), English (Paper), Frameworks (Article), Importan to, Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Medicina | 🇬🇧 Medicine, Medicine, Medicine (Paper), news, Numbered, Open Access, Papers, Programación y frameworks en IA | 🇬🇧 Programming and frameworks in AI, Research, TheMedicine

In this presentation, the current issues to make federated learning flawlessly useful in the real world will be briefly overviewed. They are related to data/system heterogeneity, client management, traceability, and security. Also, we introduce the modularized federated learning framework, we currently develop, to experiment various techniques and protocols to find solutions for aforementioned issues. The […]

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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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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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Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

#Programmer, Advanced, Artificial Intelligence, Artificial Reality (Paper), arXiv, by, Creative Commons, Electrónica | 🇬🇧 Electronics, English (Articles), English (Paper), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, news, Not numbered, Open Access, Programación y frameworks en IA | 🇬🇧 Programming and frameworks in AI, Robótica | 🇬🇧 Robotics, Robotics (Article)

Isaac Gym offers a high performance learning platform to train policies for wide variety of robotics tasks directly on GPU. Both physics simulation and the neural network policy training reside on GPU and communicate by directly passing data from physics buffers to PyTorch tensors without ever going through any CPU bottlenecks. This leads to blazing

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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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Model-based Decision Making with Imagination for Autonomous Parking

#AutonomousVehicles, Artificial Intelligence, arXiv, Creative Commons, English (Articles), English (Paper), Frameworks (Article), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, news, Numbered, Open Access, Papers, Programación y frameworks en IA | 🇬🇧 Programming and frameworks in AI, Research, Vehículos autónomos | 🇬🇧 Autonomous vehicles

Autonomous parking technology is a key concept within autonomous driving research. This paper will propose an imaginative autonomous parking algorithm to solve issues concerned with parking.

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Highly accurate protein structure prediction with AlphaFold

Artificial Intelligence, Biointelligence (Article), by-nc-nd, Copyright, Creative Commons, D. Learning, English (Articles), English (Paper), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Medicina | 🇬🇧 Medicine, Medicine, Medicine (Paper), nature, news, Numbered, Open Access, Papers, Research, TheMedicine

Underpinning the latest version of AlphaFold is a novel machine learning approach that incorporates physical and biological knowledge about protein structure, leveraging multi-sequence alignments, into the design of the deep learning algorithm.

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The Word is Mightier than the Label: Learning without Pointillistic Labels using Data Programming

#Programmer, Artificial Intelligence, arXiv, Ciencia de Datos | 🇬🇧 Data Science, Creative Commons, D. Learning, English (Articles), English (Paper), Inside The wall, InsidetheRss, Investigación | 🇬🇧 Research, Machine Learning (Article), Machine Learning (Paper), news, Numbered, Open Access, Papers, PLN | 🇬🇧 NLP, Research

We analyze the math fundamentals behind DP and demonstrate the power of it by applying it on two real-world text classification tasks. Furthermore, we compare DP with pointillistic active and semi-supervised learning techniques traditionally applied in data-sparse settings.

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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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