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 Down the deep rabbit hole: Untangling deep learning from machine learning and artificial intelligence
Interest in deep learning, machine learning, and artificial intelligence from industry and the general public has reached a fever pitch recently. Next, an overview of the historical background of deep learning reveals its wide scope and deep roots. A case study of a major deep learning implementation is presented in order to analyze public perceptions shaped by companies focused on technology. As a first step, artificial intelligence and machine learning are defined. This paper serves as a non-technical guide for those interested in a high-level understanding of these increasingly influential notions by exploring briefly the historical context of deep learning, its public presence, and growing concerns over the limitations of these techniques.
2 From shopping to car design, our customers and partners spark innovation across every industry
The robots are powered by Microsoft Azure, AI and Machine Learning._ In automotive, companies like Toyota are breaking new ground in mixed reality. This is what we mean when we talk about digital transformation. In this new reality, enterprise technology choices play an outsized role in how businesses operate, influencing how employees collaborate, how organizations ensure data security and privacy, and how they deliver compelling customer experiences. I see this trend in every industry where customers are choosing Microsoft’s intelligent cloud and intelligent edge to power their transformation.
3 SAP: One of Open Source’s Best Kept Secrets
Even though these activities and projects were very successful, there was a growing need for more central coordination of SAP’s open source activities. “We had several teams that took care of specific aspects of open source, such as security scanning, license scanning, and building our own open source tooling. Maybe we’re one of open source’s best kept secrets.” SAP prefers not to be a secret any longer and is stepping up its open source game in more visible ways. “We’re going to participate in more of the open source community conferences, such as Open Source Summit, OSCON, FOSDEM, EclipseCon, KubeCon, and so on” says Giese. SAP has been working with open source for decades and has now established an open source program office (OSPO) to further formalize the coordination of its open source activities and expand its engagement with the open source communities. “SAP was one of the first industry players to formally define processes for open source consumption and contribution,” says Peter Giese, director of the Open Source Program Office. SAP has established an open source program office to further its open source activities and expand its engagement with the open source communities. For the open source community, to advance open source best practices and tooling, SAP recently contributed it’s open source vulnerability assessment tool, which supports any software development organization in assessing security vulnerabilities of open-source components in their application development.
4 The Internet of (Wonderful and Scary) Things
For some IoT developers, that may mean choosing between product usability and product security. Prioritizing Product Security Businesses frequently fail to consider that the incentive for product security can have more to do with marketability than integrity. Considering the relative infancy of many IoT markets and the growing demand for cheap and accessible IoT products, this is a critical stage for IoT businesses. The first feedback loop (R) is obvious to most IoT product designers: The more beneficial or attractive a product, the more its use and sales increase. Consider our iceberg model (See “Iceberg Model for IoT Products”), which maps the growth of IoT products. In fact, investing resources in cybersecurity is probably the most business- savvy thing that IoT product manufacturers can do. And yes, we love this article because it has a great CLD (Causal Loop Diagram)
ClusterFuzz is a scalable fuzzing infrastructure which finds security and stability issues in software. It is used by Google for fuzzing the Chrome Browser, and serves as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features which help seamlessly integrate fuzzing into a software project’s development process:
- Highly scalable. Google’s internal instance runs on over 25,000 machines.
- Accurate deduplication of crashes.
6 Machine Learning for Everyone
Machine Learning is like sex in high school. Everyone is talking about it, a few know what to do, and only your teacher is doing it. If you ever tried to read articles about machine learning on the Internet, most likely you stumbled upon two types of them: thick academic trilogies filled with theorems (I couldn’t even get through half of one) or fishy fairytales about artificial intelligence, data-science magic, and jobs of the future. This article tries to explain ML in simple words. With real-world examples. Yes, again.
7 What Happened to the 100,000-Hour LED Bulbs?
Do not repeat history. Learning is crucial for creating innovation that do stick. This story is all about a promise that seemed to good to be true. So, what happened to those 100,000 hour residential LED bulbs? Were the initial estimates just over-optimistic? Was it all marketing hype? Or, did we not know enough about LED aging to predict the true useful life of a bulb? Certainly moving away from incandescent bulbs to more efficient lighting makes sense, but maybe we never really needed 100,000 hour bulbs in the first place. The lifetime of even 7,500-hour bulbs is long compared to the rapid pace of advance in lighting technology. The comments are gold after this story!
8 Making government work for the people, by the people
Government can work for the people, by the people, in the digital age. Services can be simple, accessible, and easy to use. Outcomes can be measurably better. Better can cost less. We can serve everyone with respect and dignity. It would be the biggest source of societal good for a generation. Let’s all build it together.
9 What was the creation myth of Google?
The pursuit of monopoly has led Silicon Valley astray. The fundamental problem with Silicon Valley’s favorite growth strategy.
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]