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Uk.businessinsider. Founding members (L-R): Eric Horvitz, managing director of Microsoft Research; Francesca Rossi, AI ethics researcher at IBM; Yann LeCun, Facebook AI Research director; and Mustafa Suleyman, cofounder of Google DeepMind.

uk.businessinsider

Partnership on AI Google, Facebook, Amazon, IBM, and Microsoft have come together to form a new organisation in a bid to ensure that artificial intelligence (AI) is developed safely, ethically, and transparently. The organisation — announced on Wednesday and known as the Partnership on Artificial Intelligence to Benefit People and Society, or simply Partnership on AI — will aim to address some of the challenges that AI presents to people and society, while also figuring out how humanity can best take advantage of new technologies in the field, which has advanced rapidly in the last few years.

During the call, the consortium dismissed concerns that this was effectively an attempt by the tech industry to self-regulate AI without government involvement. 8-point plan. Loop AI Labs Cognitive Computing. Google DeepMind Makes AI Training Platform Publicly Available - Bloomberg. Alphabet Inc.’s artificial intelligence division Google DeepMind is making the maze-like game platform it uses for many of its experiments available to other researchers and the general public.

Google DeepMind Makes AI Training Platform Publicly Available - Bloomberg

DeepMind is putting the entire source code for its training environment -- which it previously called Labyrinth and has now renamed as DeepMind Lab -- on the open-source depository GitHub, the company said Monday. Anyone will be able to download the code and customize it to help train their own artificial intelligence systems. They will also be able to create new game levels for DeepMind Lab and upload these to GitHub. The decision to make this AI test bed available to the public is further evidence of DeepMind’s decision to embrace more openness around its research. Universe is rolling out with 1,000 different titles and training environments and the company called on video game developers to give OpenAI permission to include their games in future. Loop AI Labs Cognitive Computing. Loop AI Labs Cognitive Computing. COCO - Common Objects in Context. TensorFlow. Microsoft Azure Machine Learning Studio.

Amazon Machine Learning – Análisis predictivo con AWS. Deep Learning: qué es y por qué va a ser una tecnología clave en el futuro de la inteligencia artificial. Desde los años 50 del siglo pasado y hasta hace muy pocos años el terreno habitual de la Inteligencia Artificial (IA) avanzada era mayoritariamente el laboratorio de investigación y la ciencia ficción.

Deep Learning: qué es y por qué va a ser una tecnología clave en el futuro de la inteligencia artificial

A excepción de casos contados, la práctica totalidad de sistemas con una inteligencia similar a la humana han aparecido en películas futurísticas u obras como las de Isaac Asimov. Sin embargo, este panorama está cambiando radicalmente en los últimos años. El gran impulso tecnológico al que solemos referirnos bajo el término Big Data ha revolucionado el entorno empresarial. Deep Learning: qué es y por qué va a ser una tecnología clave en el futuro de la inteligencia artificial.

DeepMind - Xataka. DeepMind - Xataka. DeepMind, la inteligencia artificial de Google ya aprendió a hablar. A estas altura parece que no existen límites para DeepMind.

DeepMind, la inteligencia artificial de Google ya aprendió a hablar

Esta inteligencia artificial parece determinada a encontrar un algoritmo contra el cáncer y ganar todas las partidas de Go en la historia: Pero encima de todo resulta que también ya aprendió a hablar. De acuerdo con un anuncio del propio equipo creador de DeepMind, ahora han logrado desarrollar a partir de su propia plataforma un programa de habla para su creación y cualquier otro sistema computacional a la altura, al que han bautizado como WaveNet. WaveNet, en teoría borraría por completo la brecha existente entre el habla de los humanos y el de las máquinas, en donde las frecuencias del sonido y la fluidez de las palabras haría imposible distinguir entre una persona real y la máquina.

Los sistemas Text-To-Speech (TTS) ya son cosa del pasado. La base del funcionamiento de WaveNet es una red neuronal, que se va alimentando de miles de datos para ir puliendo la ejecución de sus funciones. Deep learning - Wikipedia. Deep learning (also known as deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high level abstractions in data.

Deep learning - Wikipedia

In a simple case, there might be two sets of neurons: ones that receive an input signal and ones that send an output signal. When the input layer receives an input it passes on a modified version of the input to the next layer. In a deep network, there are many layers between the input and output (and the layers are not made of neurons but it can help to think of it that way), allowing the algorithm to use multiple processing layers, composed of multiple linear and non-linear transformations.[1][2][3][4][5][6][7][8][9] Research in this area attempts to make better representations and create models to learn these representations from large-scale unlabeled data. Deep learning has been characterized as a buzzword, or a rebranding of neural networks.[13][14]

Deep learning - Wikipedia.