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 items to get you thinking, debating and take action in order to make our world even better.
1 Interactive data visualizations to understand the world’s largest problems
2746 charts and 92 entries, all free: open access and open source! To work towards a better future, we all need to understand how and why the world has changed up to now. We must carefully measure what we care about, and let the facts and research inform our worldview. Our World in Data is a non-profit website that brings together the data and research on the powerful, long-run trends reshaping our world: Through interactive data visualizations we show how the world has changed; by summarizing the scientific literature we explain why.
2 Lascar: open source python3 Side Channel Attack library
Lascar stands for Ledger’s Advanced Side Channel Analysis Repository. Its goal is to gather and provide common tools and techniques used in the field of Side Channel Analysis, within an open, customizable library. Based on the principle that published Side Channel Attacks, any scientific piece, should be reproducible, Lascar aims at offering an open source platform for publishing your work. Lascar provides primitives for all the required steps in Side Channel Analysis. It allows the implementaton of end-to-end Side Channel Attacks.
3 Depth Index to the rescue
Innovation starts sometimes with playing and wondering. This is such a real play thing. It makes you wondering and thinking. What can you do with it for real? So have you ever wanted your boring 2D web pages to have, like, one more dimension? Depth Index to the rescue. It’s a rough experiment into adding more depth to your computer screen, by tracking your eyes. Depth Index uses Tensorflow & the PoseNet model from Google, to track the position of your eyes and the distance between them. From that, it renders physically accurate parallax & scaling, based on your face distance from the screen and position. Start playing!
4 Datashader: a graphics pipeline system
Datashader is a graphics pipeline system for creating meaningful representations of large datasets quickly and flexibly. Datashader breaks the creation of images into a series of explicit steps that allow computations to be done on intermediate representations. This approach allows accurate and effective visualizations to be produced automatically without trial-and-error parameter tuning, and also makes it simple for data scientists to focus on particular data and relationships of interest in a principled way. The computation-intensive steps in this process are written in Python but transparently compiled to machine code. Datashader makes complex things easy and simple. And since it is open source everyone can make it better.
5 DVC : An open-source tool for data science and machine learning projects
DVC is built to make ML models shareable and reproducible. It is designed to handle large files, data sets, machine learning models, and metrics as well as code. DVC is compatible with Git for storing code and the dependency graph (DAG), but not data files cache. To store and share data files cache DVC supports remotes – any cloud (S3, Azure, Google Cloud, etc) or any on-premise network storage (via SSH, for example).
6 AI: Where’s The Money?
Since vehicles have become the most important AI edge devices for innovating and proving new technologies, it shouldn’t be surprising that we see AI demands commonly combined with functional safety. Whatever you may think of the role of AI in our future, not playing in this segment is a hard sell. These kinds of inference in the datacenter may well be the dominant $$ driver for AI. Now let’s look at chip architecture. At Arteris IP, we have a unique view because our interconnect technology is used in many custom AI designs which, as we’ll see, are likely to dominate the space. Bottom line: AI is big, but there is no such thing as a “standard AI chip.” Optimal chip architectures differ according to the types of functions that must be executed, where they must be performed, and within what amount of time and power budget.
7 Streamlining restaurant operations
Then again, Toast’s early operations didn’t exactly inspire visions of Boston’s next billion-dollar startup. Humble beginnings Toast’s three founders set out to start a company after working together at Endeca, a software company that was bought by Oracle in 2011. After considering some areas to lease office space, the founders decided it would be cheaper to refinish the basement in Narang’s house and set up operations there. It was a good problem to have as a company.” Fredette says the founders have endured the inevitable pains that come from running a fast- growing company, learning in real-time as they overhauled processes, systems, and teams. People in the restaurant industry know a thing or two about execution. Necessity is the mother of innovation,” Fredette says. “If you say we need to go to the moon, then innovation often happens.
8 Collaboration is Key for Open Source Compliance at NHS
This is even more apparent when discussing open source compliance and aligning the various stakeholders in an open source supply chain. Open source projects play a critical role by providing a common platform that can integrate with new and existing systems. Thank you to all of our partners and we look forward to future collaboration in healthcare, automotive, and many more industries as they increasingly adopt open source. One of the powerful things about open source is the way it allows various organizations and stakeholders come together to achieve common objectives.
9 Why the EU Copyright Directive is a Threat to Fair Use
Now let’s fast forward to a (still-avoidable) future, where the EU Copyright Directive has been approved and implemented by each Member State. Just don’t wait too long to do so; the final vote on the Copyright Directive may come as soon as the end of March. This directive contains some provisions that, if adopted, will change the nature of the web (at least in the EU). This provision would reverse course on one of the web’s long-standing legal foundations (shielding intermediaries from liability for copyright infringements by users), and risks damaging a fundamental aspect of copyright policy here in the U.S., fair use.
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]