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 Innovation Doesn’t Have to Come at the Expense of Privacy
PPDA is a promising and fast growing area of privacy innovation that should not be overlooked. Either way, companies are responding to sustained public attention on privacy (and privacy failures) over the last year. In federated learning, data from many people’s devices locally contribute to training a machine learning model without having to be collected in a centralized database. One startup, Canopy, aims to deliver personalized recommendations (for articles, songs, podcasts, etc.) without collecting any identifiable personal information.
2 Algorithms And Security
What’s clear is that security is not a primary concern when it comes to designing and building AI systems. From a security standpoint, the best thing AI has going for it is that it’s in a state of perpetual change. All of that is great for AI systems on one level, but the impact on security could be significant. Training algorithms are being written, pruned and adjusted, and chip designs are being constantly tweaked to eliminate bottlenecks in moving data through these devices. In effect, security in AI needs to have extremely limited overhead because the whole purpose of these devices is blazing processing speed with very low power.
3 Cracking open the black box of automated machine learning
A control panel allows users to upload datasets and an AutoML system, and start or pause the search process. Unlike traditional AutoML systems, ATM fully catalogues all search results as it tries to fit models to data. Recently developed automated machine-learning (AutoML) systems iteratively test and modify algorithms and those hyperparameters, and select the best- suited models. Called ATMSeer, the tool takes as input an AutoML system, a dataset, and some information about a user’s task. Results indicate three major factors — number of algorithms searched, system runtime, and finding the top- performing model — determined how users customized their AutoML searches.
4 Innovative Solutions to Enhance Cybersecurity
In recent years, our world has become hyper-connected, and while that offers many substantial benefits to both corporations as well as individuals, these benefits come with a hefty price tag on our privacy and security.
5 Speed up the discovery of new solar cell materials
A broad class of materials called perovskites is considered one of the most promising avenues for developing new, more efficient solar cells. Among those 75, they found two new lead-free perovskite systems that exhibit promising properties that might have potential for high-efficiency solar cells. In the process, they produced four compounds in thin-film form for the first time; thin films are the desirable form for use in solar cells. In the process, they have already discovered two sets of promising new perovskite-inspired materials that are worthy of further study. Ultimately, Buonassisi says, it’s all about getting solar power to be as inexpensive as possible, continuing the technology’s already remarkable plunge.
6 Linux Foundation to Host the Accord Project for Smart Legal Contracts
The open source project will establish and maintain a common legal and technical foundation for smart legal contracts London, Accord Project Forum, June 6, 2019 – The Linux Foundation, the nonprofit organization enabling mass innovation through open source, today announced the launch of the Accord Project as a Linux Foundation project. Dan Selman, co- director of the Accord Project and Chair of its Technology Working Group, noted that “Our goals for the Accord Project are to promote the use of open legal technology, attract a self-sustaining base of contributors, supported by a rigorous governance structure. The Accord Project is a nonprofit organization that builds open source code and documentation to maintain a common and consistent legal and technical foundation for contract management.
7 Research from the SEI in DevSecOps, Threat Modeling, and Insider Threat
By: Douglas C. Schmidt. As part of an ongoing effort to keep you informed about our latest work, this blog post summarizes some recently published SEI reports, podcasts, and presentations highlighting our work in DevSecOps, insider threat, cyber risk and resilience, software assurance, infrastructure as code, software architecture, and threat modeling. These publications highlight the latest work of SEI technologists in these areas. This blog post also presents the latest episode in our podcast series highlighting the work of women in software and cybersecurity. This post includes a listing of each publication, author(s), and links where they can be accessed on the SEI website. (Software Engineering Institute )
8 Next steps in privacy-preserving Telemetry with Prio
In late 2018 Mozilla conducted an experiment to collect browser Telemetry data with Prio, a privacy-preserving data collection system developed by Stanford Professor Dan Boneh and PhD candidate Henry Corrigan- Gibbs. Today, we want to let you know about our next steps in testing data collection with Prio. That experiment was a success: it allowed us to validate that our Prio data collections were correct, efficient, and integrated well with our analysis pipeline. In the next phase of testing we need validate that Firefox Origin Telemetry works at scale. However, directly monitoring how our blocklists are applied would require data that we feel is too sensitive to collect from release versions of Firefox.
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]