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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 large set of AI literature. On the other hand, we carry out a qualitative analysis on 55 key documents including artificial intelligence definitions from three complementary perspectives: policy, research and industry.
Statistics Fundamentals Succinctly
Statistics is the foundation of intelligent data analysis. Statistics Fundamentals Succinctly by Katie Kormanik provides the foundational bricks and mortar needed to master the theories and methodologies behind statistical procedures. In less than 100 pages, you’ll understand how to better gather and interpret all the information at your fingertips.
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 change, resource scarcity and health crises. Yet, as AI applications are adopted around the world, their use can raise questions and challenges related to human values, fairness, human determination, privacy, safety and accountability, among others. This report helps build a shared understanding of AI in the present and near-term by mapping the AI technical, economic, use case and policy landscape and identifying major public policy considerations. It is also intended to help co-ordination and consistency with discussions in other national and international fora”. (OECD)
Machine learning in Python: the top programming language
Phyton’s most notable points are:
-Is a great library ecosystem (Scikit-learn, Pandas, Matplotlib, NLTK, Scikit-image, PyBrain, Caffe, StatsModels, TensorFlow, Keras, etc).
-Growing popularity.
-Has a low entry barrier, has flexibility, is a platform independence, has readability, good visualization options, good community support and growing popularity.
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 outline the major, radical reforms needed to address the challenges of the Age of Data”. (OpenMind. BBVA).
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.