Visual Decathlon Challenge


The goal of this challenge is to solve simultaneously ten image classification problems representative of very different visual domains. The union of the images from the ten datasets is split in training, validation, and test subsets. Different domains contain different image categories as well as a different number of images. The task is to train the best possible classifier to address all ten classification tasks using the training and validation subsets, apply the classifier to the test set, and send us the resulting annotation file for assessment. The winner will be determined based on a weighted average of the classification performance on each domain, using the scoring scheme described below.

Video: R for AI, and the Not Hotdog workshop


Earlier this year at the I also presented an interactive workshop, using R and the Microsoft Cognitive Services APIs, to automatically generate captions for images, and to create a tool to recognize images of hotdogs. Video from both the presentation, and the workshop (which starts at the 10:00 mark), is now available to view the You can find the slides for the presentation here. The R code for the "Not Hotdog" workshop is available as an Azure Notebook which you can clone and use to follow along with the workshop.

Machine learning in business? How does that work again?


If you want to put machine learning to work in your organisation, you should really consider securing a place at one of the four all-day workshops we're running as part of MCubed before our early bird ticket offer expires in two weeks time. Oliver Zeigermann returns to take you through the basics of machine learning, before diving into neural networks and deep learning and working up to convolutional neural networks, all using TensorFlow and sklearn. To learn how to build basic models and crucially get them into production in the real world, join Terry McCann for his workshop on "From model to production using the cloud, Containers and Devops". As well as using Python to develop models, this highly interactive session will show how to exploit common technologies such as Azure, Docker and Kubernetes. For a holistic, soup to nuts introduction to machine learning, join Prof Mark White and Kate Kilgour.

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As Machine Learning and AI Perform Magic, How Can UX Professionals Help? User Experience Magazine


At the UXPA 2017 International Conference, a collaborative workshop was held in which 21 UXPA attendees, including UX researchers, designers, and consultants, came together to discuss new challenges and opportunities in the new AI and Machine Learning (ML) age.

Some thoughts on Artificial Intelligence, and what it means for marketing


I am preparing for a workshop on the topic of Artificial Intelligence in Marketing, and what it means for the field. These are some initial thoughts that I penned for this workshop. What is Artificial Intelligence (AI)? The term AI refers to any technological assemblage that can collect inputs from the environment (e.g., through sensors), and take actions as a result of those inputs (e.g., adjust temperature), in ways that simulate human intelligence. This means that the technology can apply rules, can self-correct, and can learn through the acquisition of new information.

IBM to release world's largest facial dataset for studying AI bias


Society is paying more attention than ever to the question of bias in artificial intelligence systems, and particularly those used to recognize and analyze images of faces. And, we are continuing to drive continual improvements. A technical workshop is being held (by IBM Research in collaboration with University of Maryland) to identify and reduce bias in facial analysis on Sept 14, 2018 in conjunction with ECCV 2018. The results of the competition using the IBM facial image dataset will be announced at the workshop. Furthermore, our researchers continue to work with a broad range of stakeholders, users and experts to understand other biases and vulnerabilities that can affect AI decision-making, so that we can continue to make our systems better.

Indian American-founded Nonprofit MathandCoding Adds Machine Learning, Engineering Workshops


The nonprofit MathandCoding, a San Francisco Bay Area-based organization that teaches coding to kids, June 11 announced it has expanded its offering to include machine learning and engineering workshops to its lessons. The organization as a whole has grown since being founded by three high school students to hold lessons at more than 25 libraries and community centers throughout the area. The success has led to co-founder Anika Cheerla saying the organization has ventured into physics, engineering and machine learning.

Not too late for Europe in the AI race, experts say Science


Beware all the hype about artificial intelligence. In fact, experts say, the technology is still in its formative stages – and so Europe still has an opportunity to overtake an early American and Chinese lead in the field. Though news reports of artificial intelligence can sound space-age, in fact the underlying technology of "the current AI is very old," he says. "It is about 30 years old and it is really stupid," he told a workshop on AI at a conference on innovation in the EU organised by Science Business. "The next generation will be the big revolution.

Bringing humanistic education in technical subjects to the world

MIT News

If you get the chance to talk with MIT Lecturer Kyle Keane or his colleague Andrew Ringler about their course, RES.3-003 (Learn to Build Your Own Videogame with Unity Game Engine and Microsoft Kinect), you probably won't discuss technology much -- if at all. Instead, be prepared to hear terms like: behavioral modeling, emotional intelligence, vulnerability, and positive psychology. Keane, this year's recipient of the MIT School of Engineering Infinite Mile Award for Excellence and the James N. Murphy Award for inspired and dedicated service to students, delivers a rigorous project-based curriculum, where he and Ringler consciously employ positive education techniques to create a kinder, bolder, and more effective learning experience. In this nine-day hands-on workshop about scientific communication and public engagement, students learn to design, build, and publish video games using the Unity game engine. Students also gain experience in collaborative software development with GitHub, gesture-based human-computer interactions using Microsoft Kinect, automation and robotics using Arduino, as well as 3-D digital object creation, video game design, and small-team management.