What Should Mixed Reality UI Look Like? [Concept] – ART + marketing

  • [Concept]While virtual and mixed reality experiences are trending right now (we’ve seen a lot of cool examples in movies), I feel that there’s a lack in convergence of practical interaction patterns.
  • We haven’t seen the iPhone of mixed reality yet, so I decided to explore the user experience and interface aesthetics of mixed reality and share my ideas with the community.
  • My goal is to encourage other designers to think and publish ideas on MR interfaces.As technology becomes invisible at all such levels, from a perceptual and cognitive point of view, interaction becomes completely natural and spontaneous.
  • And one of the attributes of good interaction design is allowing Natural User Interfaces: those which are invisible to the user, and remain invisible as we learn them.
  • Some examples of these interfaces are speech recognition, direct manipulation, and gestures.Apps as ObjectsI started by looking into an interaction that felt very natural: browsing records.I found this interaction interesting because of the following:Direct manipulation of the catalogPerception of progress while browsingFull visual of selected itemMinimal footprint of scrolled itemsI was thinking of a way to apply these principles to an interaction for browsing and launching apps in a mixed reality environment.In this case, the app cards are arranged in a stack and placed below the user’s point of view, at a comfortable reach distance.

While virtual and mixed reality experiences are trending right now (we’ve seen a lot of cool examples in movies), I feel that there’s a lack in convergence of practical interaction patterns. We haven…
Continue reading “What Should Mixed Reality UI Look Like? [Concept] – ART + marketing”

The Science of AI and the Art of Social Responsibility

The @HuffingtonPost take a look at the science of #AI and the art of social responsibility:

  • But the transformational nature of artificial intelligence requires new metrics of success for our profession.
  • This year alone at least 1 billion people will be touched in some way by artificial intelligence, which is transforming everything from financial services to transportation, energy, education and retail.
  • And why IBM is a founding member of the Partnership on AI, a collaboration among Google, Amazon, Facebook, Microsoft, Apple and many scientific and nonprofit organizations charged with guiding the development of artificial intelligence to the benefit of society.
  • Opportunity: Developers of AI applications should accept the responsibility of enabling students, workers and citizens to take advantage of every opportunity in the new economy powered by cognitive systems.
  • They should help them acquire the skills and knowledge to engage safely, securely and effectively in a relationship with cognitive systems, and to perform the new kinds of work and jobs that will emerge in a cognitive economy.

By Guru Banavar, IBM’s Chief Science Officer for Cognitive Computing
I am a computer scientist and engineer, inspired by the art of the possible an…
Continue reading “The Science of AI and the Art of Social Responsibility”

The Science of AI and the Art of Social Responsibility

The science of #AI and the art of social responsibility:  via @HuffingtonPost

  • But the transformational nature of artificial intelligence requires new metrics of success for our profession.
  • This year alone at least 1 billion people will be touched in some way by artificial intelligence, which is transforming everything from financial services to transportation, energy, education and retail.
  • And why IBM is a founding member of the Partnership on AI, a collaboration among Google, Amazon, Facebook, Microsoft, Apple and many scientific and nonprofit organizations charged with guiding the development of artificial intelligence to the benefit of society.
  • Opportunity: Developers of AI applications should accept the responsibility of enabling students, workers and citizens to take advantage of every opportunity in the new economy powered by cognitive systems.
  • They should help them acquire the skills and knowledge to engage safely, securely and effectively in a relationship with cognitive systems, and to perform the new kinds of work and jobs that will emerge in a cognitive economy.

By Guru Banavar, IBM’s Chief Science Officer for Cognitive Computing
I am a computer scientist and engineer, inspired by the art of the possible an…
Continue reading “The Science of AI and the Art of Social Responsibility”

Gamasutra

DeepMind and Blizzard team up to release API aimed at #AI enhancement  #gamedev

  • DeepMind has been using games to teach AI agents how to function in complex and sometimes unpredictable situations for a while now.
  • Booz Allen Hamilton – San Antonio, Texas, United States [11.04.16] Lead Game Developer
  • The company plans to make the interface available to AI researchers and developers next year.
  • Eyestorm Productions – Los Angeles, California, United States [11.04.16] Lead HTML 5 Developer
  • Blizzard’s release of the API will open the field for programmers to create and train their own AI agents to play StarCraft II .

What’s next for Google’s DeepMind AI system after mastering Atari 2600 games and defeating expert level Go players? The APM-driven and sometimes chaotic multiplayer of StarCraft II.
Continue reading “Gamasutra”

Hands-On with Azure Machine Learning

Be a master of the #machinelearning world 🌎 with this hands-on #Azure course!  #MSMVA

  • You can now easily embed a specific lesson into your site.
  • If you click No , you will be signed out from the site and will lose any unsaved progress.
  • Hands-On with Azure Machine Learning
  • Закрыть
  • Microsoft Virtual Academy Курсы

Get the details on Azure Machine Learning, a cloud-based service for building machine-learning models. Learn to perform sophisticated predictive analytics.
Continue reading “Hands-On with Azure Machine Learning”

Hugo Larochelle’s neural network & deep learning tutorial videos, subtitled & screengrabbed ~ prooffreader plus

.@hugo_larochelle #NeuralNetwork & #DeepLearning tutorial videos, subtitled & screengrabbed

  • Like a lot of data scientists (I consider myself more of a data spelunker, but I aspire to data science), I try my best to keep up with the latest discoveries in a very fast-changing field; and probably nothing has been as game-changing as the advent of deep learning.
  • used youtube-dl to download the videos and WEBVTT subtitles;
  • Doing data science, I often start loop functions without a clear idea of how long they’ll take.
  • used ffmpeg (from a subprocess call) to add a black letterbox below each video, burn the subtitles into that box and then save png screenshots wherever there was a new subtitle line;
  • Deep Learning, explained to a five-year-old (okay, maybe fifteen-year-old): Data science been really good for a while now at data that can be explained in Excel spreadsheets, i.e. columns and rows: one row per observation, one column per variable.

By David Taylor10:22 AMdeep.learning, learning, machine.learning, neural.networks, pdfs, tutorial, videos4 comments

Continue reading “Hugo Larochelle’s neural network & deep learning tutorial videos, subtitled & screengrabbed ~ prooffreader plus”

Building Blocks: Big Data and Machine Learning

Harness the power of @Azure for the #storage & processing of #BigData. Find out how:  #MSMVA

  • You can now esily embed a specific lesson into your site.
  • If you click No , you will be signed out from the site and will lose any unsaved progress.
  • Check out our new embed option!
  • Building Blocks: Big Data and Machine Learning
  • Microsoft Virtual Academy Курсы

Learn how Microsoft Azure provides a platform for storing and processing big data, and see how to build predictive machine learning models.
Continue reading “Building Blocks: Big Data and Machine Learning”

43 New External Machine Learning Resources and Updated Articles

43 New External Machine Learning Resources and Updated Articles | #DataScience #MachineLear…

  • A Complete Tutorial to learn Data Science in R from Scratch
  • How William Cleveland Turned Data Visualization Into a Science *
  • You need to be a member of Data Science Central to add comments!
  • Massive innovations in data science to come
  • Former Facebook Data Scientist Shares How to Wrangle Your Data

Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of automatically c…
Continue reading “43 New External Machine Learning Resources and Updated Articles”

The Data Science Process, Rediscovered

The #DataScience Process, Rediscovered:  #BigData #MachineLearning #CRISPDM via @kdnuggets

  • The Data Science Process is a relatively new framework for doing data science.
  • The Data Science Process is a framework for approaching data science tasks, and is crafted by Joe Blitzstein and Hanspeter Pfister of Harvard’s CS 109 .
  • KDnuggets Home > News > 2016 > Mar > Opinions, Interviews, Reports > The Data Science Process, Rediscovered ( 16:n10 )
  • The Data Science Framework is an innovative framework for approaching data science problems.
  • . the answer, written by Ryan Fox Squire, a self-described “Neuroscientist Turned Data Scientist,” employed The Data Science Process as it described such a workflow.


The Data Science Process is a relatively new framework for doing data science. It is compared to previous similar frameworks, and a discussion on process innovation versus repetition is then undertaken.

Continue reading “The Data Science Process, Rediscovered”

Data Science and Azure Machine Learning

Demand for #bigdata talent is exploding. Learn the essentials from @MIT & industry experts:

  • If you click No , you will be signed out from the site and will lose any unsaved progress.
  • Data Science and Machine Learning Essentials
  • Закрыть
  • Microsoft Virtual Academy Курсы

Learn data science essentials, how to derive insights from data science and machine learning models, and ways to build a cloud data science solution.

Continue reading “Data Science and Azure Machine Learning”