The Allen Institute just published the #covid19 open research #dataset. In addition, they are sponsoring a related Kaggle competition. The dataset contains almost 30k scholarly articles related to the virus. The goal is to use #NLP to advance our understanding.
These data can be used in the area of artificial intelligence (machine learning and deeplearning) and among all obtain more efficient and faster results regarding coronavirus.
Artificial Intelligence use for help. The coronavirus R dataset package Leer más »
El objetivo de este documento es alentar a los investigadores de inteligencia artificial y diseñadores de productos a cambiar del pensamiento unidimensional sobre los niveles de automatización / autonomía a un nuevo marco HCAI bidimensional.
Inteligencia artificial centrada en el ser humano: confiable y segura Leer más »
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.
Cognitive Anthropomorphism of AI: How Humans and Computers Classify Images Leer más »
An article by the Allen Institute of Artificial Intelligence highlights a pending issue: machines do not really understand what humans write or read.
‘WinoGrande: An Adversarial Winograd Schema Challenge at Scale’ Leer más »
Discussed the phenomenalprogress over the last decade in the engineering of superconducting devices, the development of high-fidelitygate operations, and quantum non-demolition measurements with high signal to noise ratio.
A quantum engineer’s guide to superconducting qubits Leer más »
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».
Machine Learning with dabl ( 0.1.8) Leer más »
Una píldora endoscópica ingerible inocua, gestionable, distributiva de medicación, selectiva y con capacidades de monitorización dinámica
💊 Dispositivos médicos ingeribles que pueden descomponerse con luz Leer más »
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.
A scalable pipeline for designing reconfigurable organisms Leer más »