Radical Open Innovation News week 30-2018

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 Machine Learning in Google BigQuery

BigQuery ML additionally sets smart defaults automatically and takes care of data transformation, leading to a seamless and easy to use experience with great results.   When designing the BigQuery ML backend, the team was faced with a dilemma. However, many of the businesses that are using BigQuery aren’t using machine learning to help better understand the data they are generating. And while stochastic gradient descent is far more common in today’s large-scale machine learning systems, the batch variant has numerous practical advantages. Today we’re announcing BigQuery ML, a capability inside BigQuery that allows data scientists and analysts to build and deploy machine learning models on massive structured or semi-structured datasets. For example, in-database machine learning systems based on stochastic gradient descent process examples one by one, and can perform poorly when the data is suboptimally ordered.

(Google AI Blog)

2 Introducing the Serverless Bot Framework

The Serverless Bot Framework is a solution that helps AWS customers implement chatbots in other languages without having to develop their own backend platforms that support language analysis and abstraction, and knowledge training. The solution integrates with managed services such as AWS Lambda, to apply machine learning algorithms, and Amazon Polly, to turn text into lifelike speech.

(Amazon Web Services)

3 Helping computers perceive human emotions

In the growing field of “affective computing,” robots and computers are being developed to analyze facial expressions, interpret our emotions, and respond accordingly. In MoEs, a number of neural network models, called “experts,” are each trained to specialize in a separate processing task and produce one output. Each expert, and the gating network, tracked facial expressions of each individual, with the help of a residual network (“ResNet”), a neural network used for object classification. Imagine a model set to analyze facial expressions in one culture that needs to be adapted for a different culture. MIT Media Lab researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do.

(MIT Reseach)

4  OpenUP final conference: ‘Opening Up the Research Life Cycle: Innovative Methods for Open Science’ – 5-6 September 2018, Brussels, Belgium

Are you interested in how Open Science is revolutionizing the way scholarly artefacts are created, published and evaluated? Different Motivate and Meet sessions will foster interaction and exchange in the context of Open Science. Researchers, funders, research institutions and policy makers from across Europe are invited to attend

(EU Innovation Reserch)

5 Columbia U Opens Research Center Devoted to Blockchain Tech

A new center at Columbia University will focus on research and innovation in blockchain technology. The institution partnered with IBM to create the Columbia-IBM Center for Blockchain and Data Transparency, which will “combine cross-disciplinary teams from the academic, scientific, business and government communities to explore key issues related to the policy, trust, sharing and consumption of digital data when using blockchain and other privacy-preserving technologies,” according to a news announcement.

(Campus Technology: News)

6 Git is already federated & decentralized

The main issue with using ActivityPub for decentralized git forges boils down to email simply being a better choice. But get this: git is already federated and decentralized! I don’t think that we should replace web forges with our email clients, not at all. It’s decentralized and federated, and it’s already integrated with git. There’s tools like mailman which provide mailing lists and public archives, or public- inbox, which archives email in git, or patchworks for facilitating code review over email.

(Drew DeVault’s Blog)

7 The next wave of computing is the intelligent edge and intelligent cloud

We call this next wave of computing the intelligent edge and intelligent cloud. We need to give all organizations and developers the tools to build these kinds of increasingly ambitious solutions that span the intelligent edge and intelligent cloud. Farmers like Sean Stratman in Carnation, Washington, are using the intelligent edge to do precision agriculture with real-time intelligence on soil, even in remote areas with unreliable connectivity.

(Microsoft)

8 Cell-sized robots can sense their environment

Researchers at MIT have created what may be the smallest robots yet that can sense their environment, store data, and even carry out computational tasks. A simple photodiode provides the trickle of electricity that the tiny robots’ circuits require to power their computation and memory circuits. MIT postdoc Volodymyr Koman is the paper’s lead author. “Colloids can access environments and travel in ways that other materials can’t,” Strano says. Tiny robots made by the MIT team are self-powered, requiring no external power source or even internal batteries. These devices, which are about the size of a human egg cell, consist of tiny electronic circuits made of two-dimensional materials, piggybacking on minuscule particles called colloids.

(MIT Reseach)

9 Forbes: Is White The New Color Of Networking?

“Open source has been very instrumental in reshaping the landscape of networking and, to a greater extent, the viability of white box networking solutions. Case in point, AT&T; announced last year its intent to deploy over 60,000 white box routers within its core wireless network infrastructure. What’s key to making it work is a network operating system based on the ONAP (Open Network Automation Platform), spearheaded by the Linux Foundation.”

(Linux Foundation)

10 Angular v6.1 Now Available — TypeScript 2.9, Scroll Positioning, and more

New navigation events will reset the scroll position, and pressing the back button will restore the previous position. ShadowDOM v1 has better cross-browser support than the previous version, and is being built as a shared standard across browsers. This allows developers to more dynamically determine the set of rules to follow when designing Schematics. TypeScript 2.9 Angular now supports TypeScript 2.8 and 2.9, in addition to 2.7. ShadowDOM v1 is necessary for content projection with Angular Elements. Within your component decorator, you can now change the View Encapsulation to use ShadowDOM v1.

(Angular Blog)

 

The Radical Open Innovation weekly overview is a brief overview of innovation news on Digital Innovation and Management Innovation from all over the world. Your input for our next edition is welcome! Send it to [info] at [bm-support]dot[org]