Radical Open Innovation News week 17-2019

Welcome to our weekly selection of digital innovation news. Created using our opinionated automated selection algorithm with a twisted text rank summary creator. We present some top innovation news to get you thinking, debating and collaboration on making our world better.

1 MLJAR: Automated machine learning platform

MLJAR is a platform for rapid prototyping, developing and deploying machine learning models. MLJAR makes algorithm search and tuning painless. It checks many different algorithms for you. For each algorithm hyper-parameters are separately tuned. All computations run in parallel in MLJAR cloud, so you get your results very quickly. Since the core parts of MLJar are open source, MLJar is placed on the still growing list of open ML solutions.


2 Bosque Programming Language: Avoid complexity!

The Bosque programming language is designed for writing code that simple, obvious, and easy to reason about for both humans and machines. The key design features of the language provide ways to avoid accidental complexity in the development and coding process. The goal is improved developer productivity, increased software quality, and enabling a range of new compilers and developer tooling experiences. To simplify collaboration with other researchers and the wider developer community this project is setup around an open-source (MIT) licensed github repository. And yes: This is a Microsoft project. But MS is more on openness than ever!


3 Complexity of Chip Design

The road to artificial intelligence in chip design is not a simple one, and things won’t happen overnight. When it comes to the human aspect, the chip design process is still highly manual and labor intensive, despite all the advances in design automation tools over the past decades. Unlike social media where data that can be harvested seemingly without limits, chip design data is available only in a fractured environment, and technology is constantly changing. So what about chip design? In chip design, the training of machine learning models is likely to happen in each customer environment independently at the design level, and for each foundry ecosystem at the technology node level.

(Semiconductor Engineering)

4 A novel data-compression technique for faster computer programs

Instead, it uses “objects,” data structures that contain various types of data and have variable sizes. Because of this, using data compression in the memory helps improve performance, as it reduces the frequency and amount of data programs need to fetch from main memory. A novel technique developed by MIT researchers rethinks hardware data compression to free up more memory used by computers and mobile devices, allowing them to run faster and perform more tasks simultaneously. Because each application consumes less memory, it runs faster, so a device can support more applications within its allotted memory. Pointers in all objects across levels then point to those compressed objects, which makes them easy to recall back to the faster levels and able to be stored more compactly than prior techniques.

(MIT Reseach CS)

5 It’s Complicated: Mozilla’s 2019 Internet Health Report

The 2019 Internet Health Report examines the story behind these stories, using interviews with experts, data analysis and visualization, and original reporting. ## _Our annual open-source report examines how humanity and the internet intersect. How do we push the digital world in a better direction? In this year’s Report, you’ll hear from technologists in Ethiopia, digital rights lawyers in Poland, human rights researchers from Iran and China, and dozens of others. As a result, cities are emerging as a counterweight, ensuring municipal technology prioritizes human rights over profit — the Cities for Digital Rights Coalition now has more than two dozen participants.

(Mozilla BLOG)

6 Facing the Dark Side: How Leadership Destroys Organisational Innovation

The results show that a caring climate influences innovation in a positive way that mitigates the relationship between destructive leadership and innovation.

However, such literature pays little attention to the relationship between destructive leadership and innovation. Leadership is an essential element for promoting innovation. Findings reveal that destructive leadership has a negative effect on innovation and on caring climate. The literature has primarily focused on the effect of “constructive” leadership on innovation, although numerous studies point out that destructive leadership affects organizational performance.

(Journal of Technology and management)

7 The Persistence of Firefighting in Product Development

One of the most common syndromes in product development is the unplanned allocation of resources to fix problems discovered late in a product’s development cycle or firefighting. While it has been widely criticized in both the popular and scholarly literature, fire fighting is a common occurrence in most product development organizations. In this paper we try to answer three questions: (1) why does firefighting exist; (2) why does firefighting persist; and (3) what can managers do about it? The most important result of our studies is that product development systems have a tipping point.


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]