Radical Open Innovation News week 51-2019

Welcome to our biweekly 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 items to get you thinking, debating and take action in order to make our world even better.

1 Modeling Low Carbon Energy Futures for the United States

The Open Energy Outlook will utilize an open source energy system optimization model to examine US technology and policy pathways for deep decarbonization. There are both commercial and open source solvers that can be used. With respect to uncertainty analysis, the energy modeling community needs to do a better job characterizing how future uncertainty can affect key model-based insights. If energy modeling is to follow basic scientific convention, then it should be possible to replicate published results.

(Leibniz Research Alliance Open Science)

2 The next decade for financial services – benefitting from tech intensity

Looking ahead, financial services organizations will need to be at the forefront of both technological disruption and geopolitical shifts. Looking back over the last decade, its impact on the financial services industry has been profound. 2010 launched new legislation, international standards, regulatory requirements and provisions that financial organizations are addressing today. In the last 10 years, financial services have also been one of the industries most impacted by digital disruption.


3 Optical Communication Using LEDs Alone

It has a variety of communication strategies for various different media, and as this LED demonstration shows, its strength is that it’s capable of working through media that other networks would balk at. We’re all used to the humble LED as a ubiquitous source of light, but how many of us are aware that these components can also be used as photodiodes? While you’d need a bit more than a couple of LEDs on breadboards for a real-world application, we still think it’s a neat demonstration.

(Hackers Blog)

4 Lessons Learned from Developing ML for Healthcare

In addition to detecting known diseases, ML models can tease out previously unknown signals, such as cardiovascular risk factors and refractive error from retinal fundus photographs. This should be done throughout the process of developing technologies for healthcare applications, from problem selection, data collection and ML model development to validation and assessment, deployment and monitoring. Previous research indicates that doctors assisted by ML models can be more accurate than either doctors or models alone in grading diabetic eye disease and diagnosing metastatic breast cancer. How does the ML model help me in taking care of my patients? To reduce confusion, we have opted to refer to the (ML) validation set as the “tuning” set.

(Google AI Blog)

5 How to Avoid All-or-Nothing Thinking in Your Tech Strategy

The thinking is that because machines cannot take over an entire process, they might as well be kept out of it altogether. My experience turned out to be emblematic of what’s happening in numerous global industries where all-or-nothing mentalities still reign when it comes to technology. I asked why the title and escrow industry hadn’t embraced new technologies, from automation to machine learning to predictive analytics, given the rise of disruption in similar sectors. To break the cycle, organizations should hire managers and recruits with experience introducing technological elements, even first-of-its-kind technologies. I looked into it and discovered that the handful of companies controlling the title insurance industry were still operating much like they did in the 1950s.

(MIT Sloan Management Review)

6 Will Open-Source Processors Cause A Verification Shift?

While the promised flexibility of open source could have advantages and possibilities for processors and SoCs, where does the industry stand on verification approaches and methodologies from here? How do you deal with an open-source processor? You’ve got however many hundreds of thousands of gates that you’ve designed, and I don’t know that open source comes into. Granted there will be end users who know how to verify processor IP and know where to look. Seventh is verification IP, and verifying all these protocols.

(Semiconductor Engineering)

7 Welcoming Mozilla to Matrix!

Hi all, We’re incredibly excited that Mozilla just announced that they’ve selected Matrix as the successor to IRC as the communication platform for the public Mozilla community!! The very first protocol bridge we built for Matrix back in 2015 was for IRC – and Moznet and Freenode were the first public bridges we turned on. It’s very reassuring to see that Mozillians from the trial recognise the alignment and have converged on Matrix as the way forward – it’s a massive win for the open web and standards-based communication in general. Huge thanks to everyone who invested their time and energy participating in the trial and for their trust in concluding that Matrix was the way forward.

(Matrix Blog)

8 Artificial Intelligence: Threat or Menace?

Instead I’m going to talk about some implications of the post-2012 AI boom that weren’t obvious to me two years ago. So, because I’m chicken, I’m going to ignore current events and instead take this opportunity to remind you that I can’t predict the future. To crib shamelessly from wikipedia: Searle’s thought experiment begins with this hypothetical premise: suppose that artificial intelligence research has constructed a computer that behaves as if it understands Chinese. I’m going to go out on a limb here and say ” not _yet “. As a result of this resounding vote of no-confidence, research into neural networks stagnated until the 1980s and the development of backpropagation.

(Charlie’s Diary)

9 The 2019 Stratechery Year in Review

2019 was a transition year for me personally, and by extension, Stratechery. It was not a healthy approach, but, six years after starting Stratechery, and five years of it being my full-time job, it was perhaps an understandable one. Here history matters. The good thing about making mistakes is that it is an opportunity to learn; two of these articles are directly connected to WeWork.

(Stratechery by Ben Thompson)

10 The end of a decade: Breathtaking Open IT innovations

With less money to spend a lot of new smart technology innovations evolved. This decade again showed again that great world wide IT innovations are possible by a very small team or a single person. Thanks to Let’s Encrypt the internet has become a little bit more secure.


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]