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Publicación sobre Inteligencia Artificial
Cognitive Anthropomorphism of AI: How Humans and Computers Classify Images
Modern AI image classifiers have made impressive advances in recent years, but their performance often appears strange or violates expectations of users. This suggests humans engage in cognitive anthropomorphism: expecting AI to have the same nature as human intelligence. This mismatch presents an obstacle to appropriate human-AI interaction.
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 regression forecasting, hierarchical forecasting and practical forecasting issues.
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications
Recent technological advances such as wearable sensing devices, real-time data streaming, machine learning, and deep learning approaches have increased interest in electroencephalographic (EEG) based BCI for translational and healthcare applications.
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).
Turing-NLG: A 17-billion-parameter language model by Microsoft
Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream NLP tasks. We present a demo of the model, including its freeform generation, question answering, and summarization capabilities, to academics for feedback and research purposes.
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.
Deep Learning
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free. (“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” ―Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX).