Docsity
Docsity

Prepara tus exámenes
Prepara tus exámenes

Prepara tus exámenes y mejora tus resultados gracias a la gran cantidad de recursos disponibles en Docsity


Consigue puntos base para descargar
Consigue puntos base para descargar

Gana puntos ayudando a otros estudiantes o consíguelos activando un Plan Premium


Orientación Universidad
Orientación Universidad

Aprendizaje Profundo: Nuevas Opciones para el Servicio de Aprendizaje Profundo en la Nube, Apuntes de Circuitos Digitales

La última tendencia en tecnología de aprendizaje automático es el servicio en la nube de aprendizaje profundo. Empresas como Allegro AI, IBM y Google han recientemente anunciado inversiones en plataformas que permiten a los negocios crear productos basados en visión computacional mediante el uso de red neuronal. Sin embargo, hay preocupaciones sobre la imparcialidad de estos sistemas y la posibilidad de engañarlos mediante pequeños cambios en los colores. Además, se ha publicado un informe del Reino Unido que urgente acción para combatir la imparcialidad en la IA. En este contexto, se presentan tres preguntas clave sobre el tema: ¿Cómo se puede garantizar la imparcialidad en los sistemas de aprendizaje profundo? ¿Cómo funcionan realmente estas plataformas de aprendizaje profundo en la nube? ¿Qué herramientas y recursos están disponibles para los desarrolladores interesados en este campo?

Qué aprenderás

  • ¿Cómo se puede garantizar la imparcialidad en los sistemas de aprendizaje profundo?
  • Qué herramientas y recursos están disponibles para los desarrolladores interesados en este campo?
  • ¿Cómo funcionan realmente estas plataformas de aprendizaje profundo en la nube?

Tipo: Apuntes

2020/2021

Subido el 06/12/2021

usuario desconocido
usuario desconocido 🇲🇽

1 documento

1 / 8

Toggle sidebar

Esta página no es visible en la vista previa

¡No te pierdas las partes importantes!

bg1
Title
url
Word count
# of Links
# of comments
# Images video
Elapsed days
What is Machine Learning and how do we use it in Signals?
https://blog.signals.network/what-is-machine-learning-and-how-do-we-use-it-in-signals-6797e720d636
1888
1
2
2
34
10 Companies Using Machine Learning in Cool Ways
1742
9
9
5
How Artificial Intelligence Is Revolutionizing the Sector
962
6
0
1
10
Dbrain and the Blockchain of Artificial Intelligence
1221
3
2
68
Nasa finds entire solar system filled with eight planets like our own
2039
1
104
4
131
5 ways Data Science and Machine Learning impact business
761
0
1
14
200 universities just launched 600 free online courses. Heres the full list.
https://qz.com/1120344/200-universities-just-launched-600-free-online-courses-heres-the-full-list/
6462
600
28
2
170
How Machine Learning can help Cryptocurrency Traders Maximize their Gains
https://cryptovest.com/news/how-machine-learning-can-help-cryptocurrency-traders-maximize-their-gains/?utm_source=SocialAnimal&utm_medium=referral
753
3
0
1
78
Tech companies should stop pretending AI wont destroy jobs
https://www.technologyreview.com/s/610298/tech-com panies-should-stop-pretending-ai-wont-destroy-jobs/
1118
2
1
62
Artificial intelligence is going to completely change your life
1581
4
2
60
Facebook robots shut down after they talk to each other in language only they understand
2090
1
95
1
267
A visual introduction to machine learning
http://www.r2d3.us/visual-intro-to-machine-learning-part-1/?utm_source=SocialAnimal&utm_medium=referral
1099
4
15
1002
10 Breakthrough Technologies 2018
3900
30
10
62
Google CEO Sundar Pichai says AI is more profound than electricity or fire
256
0
27
1
95
How machine learning is changing the financial industry
1267
2
4
124
New AI can work out whether you're gay or straight from a photograph
https://www.theguardian.com/technology/2017/sep/07/new-artificial-intelligence-can-tell-whether-youre-gay-or-straight-from-a-photograph
971
10
1
228
Researchers have linked a human brain to the Internet for the first time ever
https://futurism.com/researchers-have-linked-a-human-brain-to-the-internet-for-the-first-time-ever/
369
6
1
222
Who’s a good AI? Dog-based data creates a canine machine learning system
https://techcrunch.com/2018/04/11/whos-a-good-ai-dog-based-data-creates-a-canine-machine-learning-system/
635
3
1
2
12
Which One to Choose for Your Problem
1631
6
6
9
180
A computer was asked to predict which start-ups would be successful. The results were astonishing
571
4
1
277
AI Is Inventing Languages Humans Cant Understand. Should We Stop It?
https://www.fastcodesign.com/90132632/ai-is-inventing-its-own-perfect-languages-should-we-let-it
1333
8
4
284
An Artificial Intelligence Developed Its Own Non-Human Language
https://www.theatlantic.com/technology/archive/2017/06/artificial-intelligence-develops-its-own-non-human-language/530436/
364
5
2
313
Denmark's largest bank is using AI and machine learning to tear everything apart and its starting to pay off
515
2
5
173
How Artificial Intelligence Is Key for Autonomous Vehicle Development
1135
8
0
1
146
Machine Learning Zone: OpenAI competition takes on Sonic the Hedgehog
666
4
0
3
18
How neural networks are trained
https://ml4a.github.io/ml4a/how_neural_networks_are_trained/
8401
30
21
113
Reverie Labs uses new machine learning algorithms to fix drug development bottlenecks
787
4
0
1
39
Machine Learning Applied to Big Data, Explained
421
2
1
277
Physicists have discovered what makes neural networks so extraordinarily powerful
1065
1
19
1
171
Turning Design Mockups Into Code With Deep Learning
5892
21
20
104
A deep-learning machine was trained to spot criminals by looking at mugshots
908
2
1
226
Getting Value from MachineLearning Isnt About Fancier Algorithms Its About Making It Easier to Use
1260
6
4
1
49
The Amazing Ways Tesla Is Using Artificial Intelligence And Big Data
950
6
1
106
10 Machine LearningAlgorithms You Should Know to Become a Data Scientist - DZone AI
1761
49
4
10
30
Google’s Artificial-Intelligence Wizard Unveils a New Twist on Neural Networks
911
10
23
1
174
and the part artificial intelligence has to play
971
5
2
127
How Amazon Rebuilt Itself Around Artificial Intelligence
4420
13
12
8
82
Feature Labs launches out of MIT to accelerate the development of machinelearning algorithms
458
1
0
2
61
CometML wants to do for machine learning what GitHub did for code
458
3
0
3
19
Why it’s a big deal that AI knows how to bluff in poker
782
8
5
1
176
Discussing the limits of artificial intelligence
2080
4
0
4
127
Crean inteligencia artificial para evaluar incendios y catástrofes naturales
https://www.fayerwayer.com/2018/04/crean-inteligencia-artificial-evaluar-incendios-catastrofes-naturales
250
4
1
2
1
What's the difference between data science, machinelearning, and artificialintelligence?
http://varianceexplained.org/r/ds-ml-ai/
1763
1
29
1
105
The Artificial Intelligence Startups Redefining Industries
650
10
0
3
133
Top 20 PythonAI and MachineLearning Open Source Projects
https://www.kdnuggets.com/2018/02/top-20-python-ai-machine-learning-open-source-projects.html
1184
39
8
1
63
5 Key Artificial IntelligencePredictions For 2018: HowMachine Learning Will Change Everything
https://www.forbes.com/sites/bernardmarr/2017/12/18/5-key-artificial-intelligence-predictions-for-2018-how-machine-learning-will-change-everything/
957
9
1
127
Pythonovertakes R, becomes the leader in Data Science, MachineLearningplatforms
https://www.kdnuggets.com/2017/08/python-overtakes-r-leader-analytics-data-science.html
627
2
5
4
239
¿Podremos crear máquinas verdaderamente inteligentes?
https://elpais.com/tecnologia/2018/03/27/actualidad/1522139782_730950.html
895
1
13
1
23
Artificial Intelligence Isn't Killing Jobs; It's Killing Business Models
1097
2
1
89
3 Things AI Can Already Do for Your Company
4437
3
2
3
113
pf3
pf4
pf5
pf8

Vista previa parcial del texto

¡Descarga Aprendizaje Profundo: Nuevas Opciones para el Servicio de Aprendizaje Profundo en la Nube y más Apuntes en PDF de Circuitos Digitales solo en Docsity!

Title url Word count # of Links # of comments# Images videoElapsed days

  • What is Machine Learning and how do we use it in Signals?https://blog.signals.network/what-is-machine-learning-and-how-do-we-use-it-in-signals-6797e720d
  • 10 Companies Using Machine Learning in Cool Ways
  • How Artificial Intelligence Is Revolutionizing the Sector
  • Dbrain and the Blockchain of Artificial Intelligence
  • Nasa finds entire solar system filled with eight planets like our own
  • 5 ways Data Science and Machine Learning impact business
  • 200 universities just launched 600 free online courses. Here’s the full list.https://qz.com/1120344/200-universities-just-launched-600-free-online-courses-heres-the-full-list/
  • How Machine Learning can help Cryptocurrency Traders Maximize their Gainshttps://cryptovest.com/news/how-machine-learning-can-help-cryptocurrency-traders-maximize-the
  • Tech companies should stop pretending AI won’t destroy jobshttps://www.technologyreview.com/s/610298/tech-companies-should-stop-pretending-ai-wont-dest
  • Artificial intelligence is going to completely change your life
  • Facebook robots shut down after they talk to each other in language only they understand
  • A visual introduction to machine learninghttp://www.r2d3.us/visual-intro-to-machine-learning-part-1/?utm_source=SocialAnimal&utm_mediu
  • 10 Breakthrough Technologies
  • Google CEO Sundar Pichai says AI is more profound than electricity or fire
  • How machine learning is changing the financial industry
  • New AI can work out whether you're gay or straight from a photographhttps://www.theguardian.com/technology/2017/sep/07/new-artificial-intelligence-can-tell-whether-yo
  • Researchers have linked a human brain to the Internet for the first time everhttps://futurism.com/researchers-have-linked-a-human-brain-to-the-internet-for-the-first-time-ever/
  • Who’s a good AI? Dog-based data creates a canine machine learning systemhttps://techcrunch.com/2018/04/11/whos-a-good-ai-dog-based-data-creates-a-canine-machine-lea
  • Which One to Choose for Your Problem
  • A computer was asked to predict which start-ups would be successful. The results were astonishing
  • AI Is Inventing Languages Humans Can’t Understand. Should We Stop It?https://www.fastcodesign.com/90132632/ai-is-inventing-its-own-perfect-languages-should-we-let-it
  • An Artificial Intelligence Developed Its Own Non-Human Languagehttps://www.theatlantic.com/technology/archive/2017/06/artificial-intelligence-develops-its-own-non
  • Denmark's largest bank is using AI and machine learning to ‘tear everything apart’ – and it’s starting to pay off
  • How Artificial Intelligence Is Key for Autonomous Vehicle Development
  • Machine Learning Zone: OpenAI competition takes on Sonic the Hedgehog
  • How neural networks are trainedhttps://ml4a.github.io/ml4a/how_neural_networks_are_trained/
  • Reverie Labs uses new machine learning algorithms to fix drug development bottlenecks
  • Machine Learning Applied to Big Data, Explained
  • Physicists have discovered what makes neural networks so extraordinarily powerful
  • Turning Design Mockups Into Code With Deep Learning
  • A deep-learning machine was trained to spot criminals by looking at mugshots
  • Getting Value from MachineLearning Isn’t About Fancier Algorithms — It’s About Making It Easier to Use
  • The Amazing Ways Tesla Is Using Artificial Intelligence And Big Data
  • 10 Machine LearningAlgorithms You Should Know to Become a Data Scientist - DZone AI
  • Google’s Artificial-Intelligence Wizard Unveils a New Twist on Neural Networks
  • and the part artificial intelligence has to play
  • How Amazon Rebuilt Itself Around Artificial Intelligence
  • Feature Labs launches out of MIT to accelerate the development of machinelearning algorithms
  • CometML wants to do for machine learning what GitHub did for code
  • Why it’s a big deal that AI knows how to bluff in poker
  • Discussing the limits of artificial intelligence
  • Crean inteligencia artificial para evaluar incendios y catástrofes naturaleshttps://www.fayerwayer.com/2018/04/crean-inteligencia-artificial-evaluar-incendios-catastrofes-nat
  • What's the difference between data science, machinelearning, and artificialintelligence?http://varianceexplained.org/r/ds-ml-ai/
  • The Artificial Intelligence Startups Redefining Industries
  • Top 20 PythonAI and MachineLearning Open Source Projectshttps://www.kdnuggets.com/2018/02/top-20-python-ai-machine-learning-open-source-projects.htm
  • 5 Key Artificial IntelligencePredictions For 2018: HowMachine Learning Will Change Everythinghttps://www.forbes.com/sites/bernardmarr/2017/12/18/5-key-artificial-intelligence-predictions-for-20
  • Pythonovertakes R, becomes the leader in Data Science, MachineLearningplatformshttps://www.kdnuggets.com/2017/08/python-overtakes-r-leader-analytics-data-science.html
  • ¿Podremos crear máquinas verdaderamente inteligentes?https://elpais.com/tecnologia/2018/03/27/actualidad/1522139782_730950.html
  • Artificial Intelligence Isn't Killing Jobs; It's Killing Business Models
  • 3 Things AI Can Already Do for Your Company
  • 10 Ways Machine Learning Is Revolutionizing Manufacturing In 2018https://www.forbes.com/sites/louiscolumbus/2018/03/11/10-ways-machine-learning-is-revolutionizi
  • 10 Ways Machine Learning Is Revolutionizing Marketinghttps://www.forbes.com/sites/louiscolumbus/2018/02/25/10-ways-machine-learning-is-revolutionizi
  • Top 10 Machine LearningAlgorithms for Beginners
  • A Tour of The Top 10 Algorithms for MachineLearning Newbies
  • What’s the difference betweenartificial intelligence, machinelearning, and deep learning? | Qualcommhttps://www.qualcomm.com/news/onq/2017/09/01/whats-difference-between-artificial-intelligence-m
  • How Quantum Computers Will Revolutionize ArtificialIntelligence, MachineLearning And Big Datahttps://www.forbes.com/sites/bernardmarr/2017/09/05/how-quantum-computers-will-revolutionize-
  • Jack Ma: Artificialintelligence, machine learningmay cause World War IIIhttp://www.businessinsider.com/alibaba-stock-price-jack-ma-artificial-intelligence-machine-learning
  • Google and MIT’s new machine learning algorithmsretouch your photos before you take them
  • How to create a NeuralNetwork in JavaScript in only 30 lines of code
  • PythonOvertakes R for Data Science and MachineLearninghttps://www.datasciencecentral.com/profiles/blogs/python-overtakes-r-for-data-science-and-machi
  • Salesforce created an algorithm that automatically summarizes text using machine learning
  • Construir inteligencia artificial que construya inteligencia artificialhttps://www.nytimes.com/es/2017/11/07/inteligencia-artificial-auto-ml-google/
  • MachineLearningWorkflows in Python from Scratch Part 1: Data Preparationhttps://www.kdnuggets.com/2017/05/machine-learning-workflows-python-scratch-part-1.html
  • Por qué ‘machine learning’ sera la tecnología más importante en 2018https://elpais.com/tecnologia/2017/11/28/actualidad/1511866764_933798.html
  • Get started with machinelearning using Pythonhttps://www.analyticsvidhya.com/blog/2017/05/pydata-amsterdam-2017-machine-learning-deep-lea
  • MachineLearningExercises in Python: An Introductory Tutorial Serieshttps://www.kdnuggets.com/2017/07/machine-learning-exercises-python-introductory-tutorial-serie
  • 22 talks from PyData 2017 | Deep Learning, MachineLearning & NLPhttps://www.analyticsvidhya.com/blog/2017/05/pydata-amsterdam-2017-machine-learning-deep-lea
  • La inteligencia artificial ya diagnostica enfermedades tan bien como los médicoshttp://www.lavanguardia.com/ciencia/cuerpo-humano/20180223/44950677766/inteligencia-artificial
  • Modern Machine LearningAlgorithms: Strengths and Weaknesses
  • Core ML and Vision: MachineLearning in iOS 11 Tutorialhttps://www.raywenderlich.com/164213/coreml-and-vision-machine-learning-in-ios-11-tutorial
  • Tutorial to deploy Machine Learning models in Production as APIs (using Flask)https://www.analyticsvidhya.com/blog/2017/09/machine-learning-models-as-apis-using-flask/
  • Getting the NDA out of the Way with Machine Learninghttps://blog.bigml.com/2018/04/18/getting-the-nda-out-of-the-way-with-machine-learning/
  • Tutorial on Automated MachineLearning using MLBoxhttps://www.analyticsvidhya.com/blog/2017/07/mlbox-library-automated-machine-learning/
  • [Log] 0: Allegro.AI nabs $11M for ‘deep learning as a service’, for businesses to build computer vision products[Log] 0: https://techcrunch.com/2018/04/25/allegro-ai-nabs-11m-for-a-platform-that-helps-business
  • [Log] 1: Want to fool a computer vision system? Just tweak some colors[Log] 1: https://techcrunch.com/2018/04/16/want-to-fool-a-computer-vision-system-just-tweak-som
  • [Log] 2: UK report urges action to combat AI bias[Log] 2: https://techcrunch.com/2018/04/16/uk-report-urges-action-to-combat-ai-bias/
  • [Log] 3: The 10 most exciting open source projects of 2018[Log] 3: http://blog.honeypot.io/most-exciting-open-source-projects-2018/
  • [Log] 4: Why 2018 will be the year apps go to the edge[Log] 4: https://techcrunch.com/2018/04/03/why-2018-will-be-the-year-apps-go-to-the-edge/
  • [Log] 5: Arm chips with Nvidia AI could change the Internet of Things[Log] 5: https://techcrunch.com/2018/03/27/arm-chips-will-with-nvidia-ai-could-change-the-internet-
  • [Log] 6: Precious uses artificial intelligence to help parents figure out what to do with all their baby photos[Log] 6: https://techcrunch.com/2018/03/27/precious-uses-artificial-intelligence-to-help-parents-figu
  • [Log] 7: Learning To See – Making deep neural network predictions on live camera input[Log] 7: http://www.creativeapplications.net/openframeworks/learning-to-see-making-deep-neural-n
  • [Log] 8: IBM launches deep learning as a service inside its Watson Studio[Log] 8: https://techcrunch.com/2018/03/19/ibm-launches-deep-learning-as-a-service-inside-its-wa
  • [Log] 9: Here are 64 startups that launched today at Y Combinator’s W18 Demo Day[Log] 9: https://techcrunch.com/2018/03/19/here-are-64-startups-that-launched-today-at-y-combina
  • [Log] 10: Voicery makes synthesized voices sound more like humans[Log] 10: https://techcrunch.com/2018/03/14/voicery-makes-synthesized-voices-sound-more-like-h
  • [Log] 11: MIT’s new chip could bring neural nets to battery-powered gadgets[Log] 11: https://techcrunch.com/2018/02/14/mits-new-chip-could-bring-neural-nets-to-battery-pow
  • [Log] 12: Ingenieros de la Universidad de Chile sofistican mecanismos para interactuar con robots[Log] 12: https://www.fayerwayer.com/2018/01/universidad-chile-interactuar-robots/
  • [Log] 13: Sleep deprivation is making product teams age faster and think slower[Log] 13: https://mixpanel.com/blog/2018/01/11/well-slept-teams-build-better-products/
  • [Log] 14: Frank Chen will make you a believer in AI[Log] 14: https://mixpanel.com/blog/2017/12/12/frank-chen-ai-andreessen-horowitz/
  • [Log] 15: Story roundup: data to be grateful for this holiday season[Log] 15: https://mixpanel.com/blog/2017/11/22/story-roundup-data-to-be-grateful-for/
  • [Log] 16: Story roundup: data to be grateful for this holiday season[Log] 16: https://mxpnlcms.wpengine.com/blog/2017/11/22/story-roundup-data-to-be-grateful-for/
  • [Log] 17: Aprendizaje Profundo: una Guía rápida[Log] 17: http://www.aprendemachinelearning.com/aprendizaje-profundo-una-guia-rapida/
  • [Log] 18: Principales Algoritmos usados en Machine Learning[Log] 18: http://www.aprendemachinelearning.com/principales-algoritmos-usados-en-machine-lear
  • [Log] 19: Aplicaciones del Machine Learning[Log] 19: http://www.aprendemachinelearning.com/aplicaciones-del-machine-learning/
  • [Log] 20: Mapbox acquires neural network startup Mapdata to help it expand into AR maps[Log] 20: https://techcrunch.com/2017/11/03/mapbox-acquires-mapdata-to-help-it-expand-into-ar-m
  • [Log] 21: How video game tech makes neural networks possible[Log] 21: https://techcrunch.com/2017/10/27/how-video-game-tech-makes-neural-networks-possib
  • [Log] 22: Google introduces Neural Networks API in developer preview of Android 8.1[Log] 22: https://techcrunch.com/2017/10/25/google-introduces-neural-networks-api-in-developer-p
  • [Log] 23: The Brain and Body Are Really One, Especially When It Comes to Emotions[Log] 23: http://www.blog-thebrain.org/advanced/2017/10/11/the-brain-and-body-are-really-one-espe
  • [Log] 24: The Brain: The History of an Organ Like No Other[Log] 24: http://www.blog-thebrain.org/advanced/2017/09/26/1395/
  • [Log] 25: Apple’s new TrueDepth Camera System and its Implications[Log] 25: https://www.cygnismedia.com/blog/true-depth-camera-system/
  • [Log] 26: Frank Lessons on AI from the Developer of the World’s First Hotdog Recognizer[Log] 26: https://mxpnlcms.wpengine.com/blog/2017/08/31/frank-lessons-on-ai-from-tim-anglade/
  • [Log] 27: Humans Are the Product of Dynamic Processes on Multiple Time Scales[Log] 27: http://www.blog-thebrain.org/advanced/2017/08/21/humans-are-the-product-of-dynamic-p
  • [Log] 28: Prisma shifts focus to b2b with an API for AI-powered mobile effects[Log] 28: https://techcrunch.com/2017/08/19/prisma-shifts-focus-to-b2b-with-an-api-for-ai-powered
  • [Log] 29: Teleport’s neural networks let you try before you hair dye[Log] 29: https://techcrunch.com/2017/08/09/teleports-neural-networks-let-you-try-before-you-hair-d
  • [Log] 30: Facebook finishes its move to neural machine translation[Log] 30: https://techcrunch.com/2017/08/03/facebook-finishes-its-move-to-neural-machine-transla
  • [Log] 31: What you should know about AI[Log] 31: https://techcrunch.com/2017/08/01/what-you-should-know-about-ai/?ncid=rss
  • [Log] 32: HBO’s Silicon Valley on A.I. driven products: Not HotDog[Log] 32: https://mxpnlcms.wpengine.com/blog/2017/07/27/ai-driven-products-hbo-silicon-valley/
  • [Log] 33: Why the future of deep learning depends on finding good data[Log] 33: https://techcrunch.com/2017/07/21/why-the-future-of-deep-learning-depends-on-finding-g
  • [Log] 34: MIT is building a system that can identify a recipe using pictures of food[Log] 34: https://techcrunch.com/2017/07/20/mit-is-building-a-system-that-can-identify-a-recipe-usi
  • [Log] 35: Apple launches machine learning research site[Log] 35: https://techcrunch.com/2017/07/19/apple-launches-machine-learning-research-site/?ncid
  • [Log] 36: Metaphors for the Brain’s Anatomy and Functioning[Log] 36: http://www.blog-thebrain.org/advanced/2017/07/14/1362/
  • [Log] 37: Computed Curation – Curating photography with neural networks[Log] 37: http://www.creativeapplications.net/js/computed-curation-curating-photography-with-neura
  • [Log] 38: MIT CSAIL research offers a fully automated way to peer inside neural nets[Log] 38: https://techcrunch.com/2017/06/30/mit-csail-research-offers-a-fully-automated-way-to-pe
  • [Log] 39: Microsoft launches a new service for training deep neural networks on Azure[Log] 39: https://techcrunch.com/2017/05/10/microsoft-launches-a-new-service-for-training-deep-n
  • [Log] 40: Someone scraped 40,000 Tinder selfies to make a facial dataset for AI experiments[Log] 40: https://techcrunch.com/2017/04/28/someone-scraped-40000-tinder-selfies-to-make-a-fac
  • [Log] 41: 10 Machine Learning Examples in JavaScript[Log] 41: http://tutorialzine.com/2017/04/10-machine-learning-examples-in-javascript/
  • [Log] 42: Neural networks made easy[Log] 42: https://techcrunch.com/2017/04/13/neural-networks-made-easy/?ncid=rss
  • [Log] 43: Google DeepMind open sources Sonnet so you can build neural networks in TensorFlow even quicker[Log] 43: https://techcrunch.com/2017/04/07/google-deepmind-open-sources-sonnet-so-you-can-b
  • [Log] 44: Google’s smarter, A.I.-powered translation system expands to more languages[Log] 44: https://techcrunch.com/2017/03/06/googles-smarter-a-i-powered-translation-system-expa
  • [Log] 45: Mark Zuckerberg’s ‘Jarvis’ Addresses AI’s Biggest Challenges[Log] 45: https://www.cygnismedia.com/blog/artificial-intelligence-challenges/
  • [Log] 46: Embark’s self-driving truck is ready to assist human drivers[Log] 46: https://techcrunch.com/2017/02/24/embarks-self-driving-truck-is-ready-to-assist-human-d
  • [Log] 47: "Zoom, Enhance" Could Become a Reality, Thanks to Google[Log] 47: http://www.hongkiat.com/blog/google-zoom-enhance-technology/
  • [Log] 48: FaceApp uses neural networks for photorealistic selfie tweaks[Log] 48: https://techcrunch.com/2017/02/08/faceapp-uses-neural-networks-for-photorealistic-selfie
  • [Log] 49: Mark Cuban on Why You Need to Study Artificial Intelligence or You’ll be a Dinosaur in 3 Years[Log] 49: https://bothsidesofthetable.com/mark-cuban-on-why-you-need-to-study-artificial-intelligenc
  • [Log] 50: A First Brain-Imaging Study on the Effects of LSD[Log] 50: http://www.blog-thebrain.org/advanced/2017/01/09/1281/
  • [Log] 51: Mark Zuckerberg’s ‘Jarvis’ Addresses AI’s Biggest Challenges[Log] 51: http://www.cygnismedia.com/blog/artificial-intelligence-challenges/
  • [Log] 52: Some Amazing Predictions Based on Brain Connectivity[Log] 52: http://www.blog-thebrain.org/advanced/2016/12/12/some-amazing-predictions-based-on-b
  • [Log] 53: Google’s AI Experiments help you understand neural networks by playing with them[Log] 53: http://feedproxy.google.com/~r/Techcrunch/~3/WUoKqCnvY5M/
  • [Log] 54: Facebook Caffe2Go Deep-Learning System Powers Video ‘Style Transfer’ Test[Log] 54: http://www.adweek.com/socialtimes/caffe2go/647127
  • [Log] 55: Is Machine Learning the Big Bad Wolf of Media? Whisper doesn’t think so.[Log] 55: https://blog.mixpanel.com/2016/11/08/whisper-machine-learning/
  • [Log] 56: Os nosos centros tecnolóxicos e de investigación presentan este xoves no CESGA os seus avances e[Log] 56: http://www.codigocero.com/Os-nosos-centros-tecnoloxicos-e-de-investigacion-presentan
  • [Log] 57: Psychologist Scans Own Brain Twice per Week for a Year and a Half[Log] 57: http://www.blog-thebrain.org/advanced/2016/10/20/psychologist-scans-own-brain-twice-p
  • [Log] 58: Deep learning takes on GIFs, fashion, doodles and more at ACM Multimedia[Log] 58: http://feedproxy.google.com/~r/Techcrunch/~3/HZlZ28umjr4/
  • [Log] 59: A xornada sobre Machine Learning do CESGA abranguerá máis de dúas ducias de relatorios[Log] 59: http://www.codigocero.com/A-xornada-sobre-Machine-Learning-do-CESGA-abranguera-m
  • [Log] 60: Google unleashes deep learning tech on language with Neural Machine Translation[Log] 60: http://feedproxy.google.com/~r/Techcrunch/~3/YEhcHjfYfYs/
  • [Log] 61: Facebook’s Artificial Intelligence Research lab releases open source fastText on GitHub[Log] 61: http://feedproxy.google.com/~r/Techcrunch/~3/ROB5oi8KuFI/
  • [Log] 62: Hearing is like seeing for our brains and for machines[Log] 62: http://feedproxy.google.com/~r/Techcrunch/~3/E4r0_mb2r9E/
  • [Log] 63: The hard thing about machine learning[Log] 63: https://blog.mixpanel.com/2016/08/03/hard-thing-about-machine-learning/
  • [Log] 64: Convolutional Neural Networks in iOS 10 and macOS[Log] 64: http://invasivecode.tumblr.com/post/147955476650
  • [Log] 65: Researchers use neural networks to turn face sketches into photos[Log] 65: http://feedproxy.google.com/~r/Techcrunch/~3/CXC0RaDqeKo/
  • [Log] 66: Machine Learning in Swift for iOS[Log] 66: http://invasivecode.tumblr.com/post/146272280155
  • [Log] 67: Introducing Gravity Jack Research: An Inside Look At The Heart of Our Innovation Center[Log] 67: https://gravityjack.com/news/gravity-jack-research-inside-look/
  • [Log] 68: Twitter pays up to $150M for Magic Pony Technology, which uses neural networks to improve images[Log] 68: http://feedproxy.google.com/~r/Techcrunch/~3/YL8NcsD8nog/
  • [Log] 69: Learn deeply, but baby, don’t fear the Skynet[Log] 69: http://feedproxy.google.com/~r/Techcrunch/~3/Y2-DiQSRzRo/
  • [Log] 70: Neural networks: Artificial intelligence and our future[Log] 70: http://feedproxy.google.com/~r/Techcrunch/~3/vt6py_Preqg/
  • [Log] 71: Conscious Awareness and Integration of Brain Activity: They Go Together[Log] 71: http://www.blog-thebrain.org/advanced/2016/06/13/conscious-awareness-and-integration-
  • [Log] 72: What Should We Do With All of That Content?[Log] 72: http://www.adweek.com/socialtimes/what-should-we-do-with-all-of-that-content/638662
  • [Log] 73: ¿Qué es el Machine Learning?[Log] 73: http://jarroba.com/que-es-el-machine-learning/
  • [Log] 74: Magic Pony’s neural network dreams up new imagery to expand an existing picture[Log] 74: http://feedproxy.google.com/~r/Techcrunch/~3/V2vOBiN91Y8/
  • [Log] 75: From recording to reacting: Neural networks are changing notions of surveillance[Log] 75: http://feedproxy.google.com/~r/Techcrunch/~3/-ELdi2uNQ2A/
  • [Log] 76: NVIDIA announces a supercomputer aimed at deep learning and AI[Log] 76: http://feedproxy.google.com/~r/Techcrunch/~3/3zv0iKyNavw/
  • [Log] 77: Following Artificial Intelligence Breakthrough, European Go Champion Loses Against Computer[Log] 77: http://feedproxy.google.com/~r/Techcrunch/~3/R83TWzcalgI/
  • [Log] 78: Years & Years Releases Music Video Created With Google’s DeepDream Technology[Log] 78: http://feedproxy.google.com/~r/Techcrunch/~3/WH1cezmHceA/
  • [Log] 79: Facebook Updates Progress on Artificial Intelligence[Log] 79: http://www.adweek.com/socialtimes/artificial-intelligence-update/629412
  • [Log] 80: On Neuromarketing and Conversions – Interview with Tim Ash [+Webinar][Log] 80: http://blog.getresponse.com/on-neuromarketing-and-conversions-interview-with-tim-ash-w
  • [Log] 81: Understanding Artificial Intelligence – and Why We Fear It[Log] 81: http://rss.feedsportal.com/c/35261/f/656072/s/481c0ec8/sc/14/l/0L0Shongkiat0N0Cblog0C
  • [Log] 82: The “Coming Out” of the Electrical Synapse[Log] 82: http://www.blog-thebrain.org/advanced/2015/03/14/988/
  • [Log] 83: How Google Uses Machine Learning And Neural Networks To Optimize Data Centers[Log] 83: http://feedproxy.google.com/~r/Techcrunch/~3/pqloDGxiqb8/
  • [Log] 84: Zuck Knows If You've Been Bad Or Good, So Be Good For Goodness' Sake[Log] 84: http://feedproxy.google.com/~r/Techcrunch/~3/tFA-5Utj6vA/
  • [Log] 85: Microsoft Improves Windows Phone Voice Recognition: 2X Faster, 15% More Accurate[Log] 85: http://feedproxy.google.com/~r/Techcrunch/~3/8me_bd7gHv0/
  • [Log] 86: How Google's Acquisition Of DNNresearch Allowed It To Build Its Impressive Google+ Photo Search In 6[Log] 86: http://feedproxy.google.com/~r/Techcrunch/~3/vW_ie-I_fss/
  • [Log] 87: Google's Cloud Is Eating Apple's Lunch[Log] 87: http://feedproxy.google.com/~r/Techcrunch/~3/gRBLqOod1rs/

Shares COMPROBADOS

200000 21957 25000 21125 42000 16681 200000 18157 200000 22817 21000 15536 200000 48018 77000 15490 59400 17570 35000 20208 100000 23108 350000 17462 20000 33421 29000 12658 37000 18419 67300 16732 60100 13302 3200 14818 37000 20493 55000 54800 54600 27000 14134 20000 2400 14000 3800 15684 26000 14000 7100 44770 14000 3000 18379 5600 1500 8400 5300 3400 36383 2500 757 6400 3600 22 2300 2800 1300 17946 2500 4500 422 1600 2000 36480