Radical Open Innovation News week 26-2018

Welcome to our weekly selection of digital innovation news. Based on our opinionated always changing automated token based selection algorithm we present some top innovation news to get you thinking, debating and collaboration on making our world better.

1 Scalable Machine Learning in the Enterprise with Dask

You’ve been hearing the hype for years: machine learning can have a magical, transformative impact on your business, putting key insights into the hands of decision-makers and driving industries forward. But many organizations today still struggle to extract value from their machine learning initiatives. Why? (Anaconda)

2 Personalized “deep learning” equips robots for autism therapy

The robots’ personalized deep learning networks were built from layers of these video, audio, and physiological data, information about the child’s autism diagnosis and abilities, their culture and their gender. Armed with this personalized “deep learning” network, the robots’ perception of the children’s responses agreed with assessments by human experts, with a correlation score of 60 percent, the scientists report June 27 in Science Robotics. Although the concept of deep learning has been around since the 1980s, says Rudovic, it’s only recently that there has been enough computing power to implement this kind of artificial intelligence. Children with autism spectrum conditions often have trouble recognizing the emotional states of people around them — distinguishing a happy face from a fearful face, for instance.

(MIT Reseach)

3 AI-powered wearable identifies text and people for the visually impaired

The original device was the size of a smartphone and used a separate head unit and base unit, connected with a wire. Now, the company has introduced the OrCam MyEye 2.0 – a vast improvement on the original, ground- breaking device.   The wearer points at objects, text, or people they want to identify and the OrCam provides the information in audio form using bone conduction. With software and hardware moving at a very rapid pace, will OrCam be able to create a sustainable and long-lasting solution?


4 Amazon Comprehend Now Supports Asynchronous Processing Along With Larger Document Sizes

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Starting today, customers have the option to analyze a collection of documents stored in an Amazon S3 bucket using the new asynchronous job service. This is in addition to the single and multiple document synchronous calls to the REST API already available, giving you a variety of options that best fit your applications’ needs.

(Amazon Web Services)

5 Google Becomes Platinum Member of Linux Foundation, Demonstrating its Commitment to the Open Source Community

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, announces Google has become a Platinum member of the foundation. She has long been an open source community champion in communities such as NGINX and MySQL. More than 800 organizations are members of The Linux Foundation and the open source projects it hosts. Some of The Linux Foundation open source communities Google supports include Cloud Foundry, Node.js and the Open API Initiative. As a Platinum member, Google will also receive a seat on The Linux Foundation Board of Directors. Becoming a Platinum member – the highest level of membership – of The Linux Foundation gives Google access to the foundation’s extensive knowledge and experience in open source governance, legal and technical topics.

(Linux Foundation)

6 Vapor IO, Packet, and the Linux Foundation Collaborate on “Open Glossary of Edge Computing”

Together with the worldwide open source community, it is solving the hardest technology problems by creating the largest shared technology investment in history. Vapor IO and Packet have contributed to the Open Glossary of Edge Computing under the liberal and flexible Creative Commons BY-SA 4.0 license.

(Linux Foundation)

7 Self-Supervised Tracking via Video Colorization

Moreover, we found that the failures from our system are correlated with failures to colorize the video, which suggests that further improving the video colorization model can advance progress in self-supervised tracking.   Our results show that video colorization provides a signal that can be used for learning to track objects in videos without supervision. The model receives as input one color frame and a gray-scale video, and predicts the colors for the rest of the video. We visualize the internal embeddings from the colorization model. However, teaching a machine to visually track objects is challenging partly because it requires large, labeled tracking datasets for training, which are impractical to annotate at scale.

(Google AI Blog)

8 The Privacies of Life

United States, the Supreme Court held that law enforcement is required to obtain a warrant to access historical cell-site location information (CSLI). It is time for the federal government to establish baseline privacy protections that honor those expectations. The few consumer privacy protections we do have do not adequately take people’s reasonable expectations into account. Unfortunately, the same cannot be said for our privacy protections with respect to commercial entities. The Court recognized that cell phones are an inescapable part of modern life and that individuals have a reasonable expectation of privacy in the location data they generate, even though that data is disclosed to a third party (the cell service provider).


9 Lennart Poettering: Walkthrough for Portable Services

Even though the focus is on shipping service unit files in portable service images, you can actually ship timer units, socket units, target units, path units in portable services too. The Portable Services concept builds on that, putting these features together in a new, integrated way to make them more accessible and usable.

(Planet GNOME)

10 Thierry Carrez: A framework for lightweight open source governance

I’m not talking of governance bodies for open source Foundations (which generally benefit from having some representation of their corporate sponsors chiming in on how their money shall be spent). Those bodies create extra bureaucracy while not being able to make a single call, or worse, trying desperately to assert authority to justify their existence. If the group needs no final call, or can trust an upper decision body to make the call if need be, maybe that governance body is not needed. The art of lightweight governance is, of course, to find the best balance between rule #2 and rule #3. I’m talking about the upstream open source project itself, and how the technical choices end up being made in a community of contributors.

(Planet Ubuntu)