Open Access

Ciencia Abierta

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Montreal AI Ethics Institute: Response to the European Commission’s white paper on AI

In February 2020, the European Commission (EC) published a white paper entitled, On Artificial Intelligence – A European approach to excellence and trust. This paper outlines the EC’s policy options for the promotion and adoption of artificial intelligence (AI) in the European Union. We reviewed this paper and published a response addressing the EC’s plans to build an “ecosystem of excellence” and an “ecosystem of trust,” as well as the safety and liability implications of AI, the internet of things (IoT), and robotics.

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A Rigorous Analysis of Self‐Adaptation in Discrete Evolutionary Algorithms

A key challenge to making effective use of evolutionary algorithms (EAs) is to choose appropriate settings for their parameters. However, the appropriate parameter setting generally depends on the structure of the optimization problem, which is often unknown to the user. Non‐deterministic parameter control mechanisms adjust parameters using information obtained from the evolutionary process.

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Interpretable Machine Learning (A Guide for Making Black Box Models Explainable)

The book focuses on machine learning models for tabular data (also called relational or structured data) and less on computer vision and natural language processing tasks. Reading the book is recommended for machine learning practitioners, data scientists, statisticians, and anyone else interested in making machine learning models interpretable.

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Actions for Industry: Open Banking

Discover the opportunities and use cases of the open banking movement using Tink’s open platform. Tink, fintech leader in Europe in open banking services (aggregation and enrichment of bank data), opens its platform with a self-service format so that fintech and SMEs across Europe can take advantage of the potential that comes with the open banking movement.

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Explaining Autonomous Driving by Learning End-to-End Visual Attention

In this work we propose to train an imitation learning based agent equipped with an attention model. The attention model allows us to understand what part of the image has been deemed most important. Interestingly, the use of attention also leads to superior performance in a standard benchmark using the CARLA driving simulator.

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Unconventional Computer Arithmetic for Emerging Applications and Technologies

Arithmetic plays a major role in computing performance and efficiency. It is challenging to build platforms, ranging from embedded devices to high performance computers, supported on traditional binary arithmetic and silicon-based technologies that meet the requirements of today’s applications. In this talk, the state-of-the-art of non-conventional computer arithmetic is presented, considering alternative computing models and emerging technologies.

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Digital Health And The Fight Against The COVID-19 Pandemic

You will find up-to-date, reliable information about the latest innovations, technologies, and trends in the context of COVID-19, and the best examples of 14 digital health technologies already sent to the battle successfully

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Composing AI Pipelines with AI4EU Experiments

Show how to onboard AI tools as re-usable building blocks that then can be used to easily compose AI pipelines in the AI4EU Experiments visual editor

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Covid-19 and contact tracing apps

Multi-presenter format with exciting Speakers from the current European ICT research projects AI4EU (www.ai4eu.eu) and Helios (helios-social.com/) as well as Guest Speakers.