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An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation
Sequential recommendation is a central task in recommender systems, and recent research has increasingly shifted toward generative recommenders that leverage both sequential patterns and semantic item information. However, these methods are often evaluated on a small set of widely used benchmarks. This raises a natural…
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
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…
Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP
In this survey, we connect several lines of work from the pre-neural and neural era, by showing how hybrid approaches of words and characters as well as subword-based approaches based on learned segmentation have been proposed and evaluated. We conclude that there is and…
Ethics-based auditing of automated decision-making systems: intervention points and policy implications
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…
AI and the Future of Skills, Volume 1
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…
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
This paper provides a succinct overview of this emerging theory of overparameterized ML (henceforth abbreviated as TOPML) that explains these recent findings through a statistical signal processing perspective. We emphasize the unique aspects that define the TOPML research area as a subfield of modern ML…
How to avoid machine learning pitfalls: a guide for academic researchers
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…
Proposal for a Regulation on a European approach for Artificial Intelligence
The Commission is proposing the first ever legal framework on AI, which addresses the risks of AI and positions Europe to play a leading role globally.
Partial Differential Equations is All You Need for Generating Neural Architectures — A Theory for Physical Artificial Intelligence Systems
In this work, we generalize the reaction-diffusion equation in statistical physics, Schrödinger equation in quantum mechanics, Helmholtz equation in paraxial optics into the neural partial differential equations (NPDE), which can be considered as the fundamental equations in the field of artificial intelligence research
Probabilistic Machine Learning: An Introduction
«In this book, we will cover the most common types of ML, but from a probabilistic perspective. Roughly speaking, this means that we treat all unknown quantities (e.g., predictions about the future value of some quantity of interest, such as tomorrow’s temperature, or the parameters…
Addressing Ethical Dilemmas in AI: Listening to Engineers
Documentation is key – design decisions in AI development must be documented in detail, potentially taking inspiration from the field of risk management. There is a need to develop a framework for large-scale testing of AI effects, beginning with public tests of AI systems, and…
Yann LeCun’s Deep Learning Course at CDS
This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition. The prerequisites include: DS-GA 1001 Intro to…
Artificial Intelligence for Making Products and Solutions Smarter
Although the Artificial Intelligence is nothing new, currently it is experiencing an upsurge that can be attributed to advances in computing and the increasing availability of data.
Fourier Neural Operator for Parametric Partial Differential Equations
The classical development of neural networks has primarily focused on learning mappings between finite-dimensional Euclidean spaces. Recently, this has been generalized to neural operators that learn mappings between function spaces. For partial differential equations (PDEs), neural operators directly learn the mapping from any functional parametric…
Evaluating and Characterizing Human Rationales
Two main approaches for evaluating the quality of machine-generated rationales are: 1) using human rationales as a gold standard; and 2) automated metrics based on how rationales affect model behavior.
The future of AI
If you wonder what is next in the evolution towards general AI then this session is for you. We have seen some painful failures of artificial intelligence pointing to a lack of ‘common sense’. Are neural networks really the solution we seek or is a…
The IEEE 7010-2020 Standard
The IEEE 7010-2020 Standard for free
The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design
The past decade has seen a remarkable series of advances in machine learning, and in particular deep learning approaches based on artificial neural networks, to improve our abilities to build more accurate systems across a broad range of areas, including computer vision, speech recognition, language…
TechDispatch #1/2020: Contact Tracing with Mobile Applications
In public health, contact tracing is the process to identify individuals who have been in contact with infected persons. Proximity tracing with smartphone applications and sensors could support contact tracing. It involves processing of sensitive personal data.
The growing mismatch between our social structures and our new technologies
Based on data starting about year 1200 till today I will give a historical perspective of the coevolution of our physical and social technologies and what it means for our development of wealth.
Cumplimiento normativo y seguridad TI en IoT
La conectividad y el tratamiento masivo de datos son dos pilares esenciales para el desarrollo de estos sistemas, los cuales, a su vez, introducen riesgos de seguridad y privacidad que deben ser tratados adecuadamente.
The European Data Protection Supervisor, 2019 Annual Report a year of transition
With new legislation on data protection in the EU now in place, our greatest challenge moving into 2020 is to ensure that this legislation produces the promised results. This includes ensuring that new rules on ePrivacy remain firmly on the EU agenda. Awareness of the…
George Boole: the father of logic, bases digital electronics and the substrate of binary language and a research
Without he, neither electronics, computing or Artificial Intelligence would be what they are.
Working from home during the #COVID19 crisis
The EU Agency for #Cybersecurity (ENISA) shares its cybersecurity recommendations on working remotely during the COVID-19 crisis.
Defining Artificial Intelligence |🇪🇸 Definiendo Inteligencia Artificial
The starting point to develop the operational definition is the definition of AI adopted by the High Level Expert Group on artificial intelligence. To derive this operational definition we have followed a mixed methodology. On one hand, we apply natural language processing methods to a…
Artificial Intelligence: Foundations of Computational Agents
It presents artificial intelligence as the study of the design of intelligent computational agents. The book is structured as a textbook, but it is accessible to a wide audience of professionals and researchers. In the last decades we have witnessed the emergence of artificial intelligence…
Robots in a rush: time-aware AI aids human-machine interaction
The TIMESTORM consortium, funded by the EU’s Future and Emerging Technologies (FET) programme, has transformed the notion of time perception in artificial intelligence from an immature, poorly defined subject into a promising new research strand, drawing on diverse expertise in psychology and neurosciences as well…
Artificial Intelligence in Society
«The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate…
La era de los datos | 🇬🇧 The Age of Data
La era de los datos | 🇬🇧 The Age of Data
«Diecinueve grandes expertos de todo el mundo esbozan las reformas ambiciosas y radicales necesarias para encarar los desafíos de la era de los datos». | 🇬🇧 «Nineteen leading experts from all over the world…
La Organización Mundial de la Propiedad Intelectual cierra la consulta pública sobre políticas de Inteligencia Artificial y Propiedad Intelectual
La OMPI ha recibido más de 250 respuestas a su solicitud de comentarios públicos para un borrador de documento sobre cuestiones sobre propiedad intelectual e inteligencia artificial. Y ha recopilado una amplia gama de partes interesadas de todo el mundo.
A European strategy for data
The EU can become a leading role model for a society empowered by data to make better decisions -in business and the public sector. To fulfil this ambition, the EU can build on a strong legal framework – in terms of data protection, fundamental rights,…
WHITE PAPER On Artificial Intelligence – A European approach to excellence and trust
The purpose of this White Paper is to set out policy options on how to achieve these objectives. It does not address the development and use of AI for military purposes.The Commission invites Member States, other European institutions, and all stakeholders, including industry, social partners,…
Forecasting: Principles and Practice
A comprehensive introduction to the latest forecasting methods. Examples use R with many data sets taken from the authors’ own consulting experience. In this second edition, all chapters have been updated to cover the latest research, and three new chapters have been added on dynamic…
Artificial Intelligence and Public Standards (A Review by the Committee on Standards in Public Life) -GOV.UK
The Committee on Standards in Public Life Published (10 February 2020 ) its report and recommendations to the Prime Minister to ensure that high standards of conduct are upheld as technologically assisted decision making is adopted more widely across the public sector. (GOV.UK).
Manifiesto de IBM con motivo del 50 encuentro en el foro de Davos. ‘Regulación de precisión para la inteligencia artificial’
El panel de Davos, organizado por el CEO de IBM, Ginni Rometty, explora la regulación de precisión de la inteligencia artificial y la tecnología emergente. El evento lanza formalmente IBM Policy Lab, un nuevo foro para promover recomendaciones de políticas audaces y viables para una…
Estudio prospectivo de políticas sobre inteligencia artificial y política comercial de la UE
El Ministerio holandés de Asuntos Exteriores ha encargado este estudio para generar conocimiento sobre la interfaz entre el derecho comercial internacional y las normas europeas y valores en el uso de la inteligencia artificial. El estudio hace una serie de hallazgos significativos.
People + AI Guidebook by Google
Escrita para profesionales de experiencia de usuario (UX) y gerentes de producto como una forma de ayudar a crear un enfoque centrado en el ser humano para la IA en sus equipos de producto.
CCPA: data privacy in the United States
A partir del 1 de enero de 2020, el CCPA se aplica a una empresa que recopila / procesa los datos personales de los residentes de California o hace negocios en California. La CCPA otorga derechos a los consumidores de forma similar al GDPR, incluida…
La inteligencia artificial como ente jurídico y su responsabilidad civil en el seno de Europa
«No es necesario dar a los dispositivos o sistemas autónomos una personalidad jurídica, ya que el daño que pueden causar puede y debe ser atribuible a personas u organismos existentes». (Report from the Expert Group on Liability and New Technologies – New Technologies Formation….
Una definición de Inteligencia Artificial: principales capacidades y disciplinas científicas
Este documento amplía la definición de Inteligencia Artificial (IA) tal como se define en la Comunicación de la Comisión sobre IA. Aclara ciertos aspectos de la IA como disciplina científica y como tecnología, con el objetivo de evitar malentendidos, para lograr un conocimiento común compartido…