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.
An article by the Allen Institute of Artificial Intelligence highlights a pending issue: machines do not really understand what humans write or read.
Our director (as a member of The European AI Alliance) uploaded this work and contributed to the documentation that the members of the European Alliance for AI and the high-level AI group are handling. He consider these points of view is important in terms of sustainable development. Link to the post at european AI alliance …
“dabl tries to reduce the turnaround time required for a quick baseline estimate of a supervised learning problem. It does so by automating the task of iterating through different techniques of data preprocessing, feature engineering, parameter tuning and model building to generate efficacious baseline models”.
Una píldora endoscópica ingerible inocua, gestionable, distributiva de medicación, selectiva y con capacidades de monitorización dinámica
Most technologies are made from steel, concrete, chemicals, and plastics, which degrade over time and can produce harmful ecological and health side effects. It would thus be useful to build technologies using self-renewing and biocompatible materials, of which the ideal candidates are living systems themselves. Thus, we here present a method that designs completely biological machines from the ground up: computers automatically design new machines in simulation, and the best designs are then built by combining together different biological tissues. This suggests others may use this approach to design a variety of living machines to safely deliver drugs inside the human body, help with environmental remediation, or further broaden our understanding of the diverse forms and functions life may adopt.
(Deep Neural Networks in Geophysics) Esta tesis investiga las propiedades fundamentales de las redes neuronales en aplicaciones geofísicas. Incluye la reutilización de redes neuronales entrenadas, que son excelentes para identificar imágenes y aplicarlas para identificar capas de rocas y eventos geológicos en imágenes geofísicas. Esta tesis profundiza para evaluar si la teoría de incluir información específica de …
Aprendizaje automático en análisis de datos sísmicos 4D Read More »
Usando el modelo, en sus conclusiones, los autores señalan que las nuevas proteínas SNARE pueden identificarse con precisión y usarse para el desarrollo de fármacos. Y tratándose de enfermedades como las neurodegenerativas, mentales y el cáncer podemos y debemos interesarnos por este trabajo aplicado al campo de la bioinformática computacional, la minería de datos y el Machine Learning.
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.
