Investigación | 🇬🇧 Research
AutoML: a introduction tutorial about H2O Driverless AI
“H2O has been the driver for building models at scale. We are talking about billions of claims. You can’t do this with standard off the shelf open source techniques”. (H2o.ai).
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).
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, safety and cybersecurity and its internal market with competitive companies of all sizes and varied industrial base.
In the period 2021-2027, the Commission will invest in a High Impact Project on European data spaces and federated cloud infrastructures.
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, civil society organisations, researchers, the public in general and any interested party, to react to the options and to contribute to the Commission’s future decision-making in this domain.
Cyber Attack Detection thanks to Machine Learning Algorithms
Cybersecurity attacks are growing both in frequency and sophistication over the years. This increasing sophistication and complexity call for more advancement and continuous innovation in defensive strategies. Traditional methods of intrusion detection and deep packet inspection, while still largely used
and recommended, are no longer sufficient to meet the demands of growing security threats.
‘WinoGrande: An Adversarial Winograd Schema Challenge at Scale’
An article by the Allen Institute of Artificial Intelligence highlights a pending issue: machines do not really understand what humans write or read.
💊 Dispositivos médicos ingeribles que pueden descomponerse con luz
Una píldora endoscópica ingerible inocua, gestionable, distributiva de medicación, selectiva y con capacidades de monitorización dinámica
El proyecto “Algonauts” (Algonautas): se centra en tratar de explicar cómo ve el cerebro humano
El Proyecto Algonauts reúne a investigadores de inteligencia biológica y artificial en una plataforma común para intercambiar ideas y avanzar en ambos campos. Explicando el cerebro visual humano, se centra en construir modelos de visión por computadora que simulen cómo el cerebro ve y reconoce objetos, un tema que ha fascinado a los neurocientíficos y científicos de la computación.