The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!
Testing is a vital part of the mobile app development process. Your team can use testing to evaluate the quality, security, and reliability of mobile apps before releasing them to your users. Users who expect their applications to be highly performant and intuitive. There are two ways DevOps teams can perform testing for mobile apps: on-premise (also called self-hosted) or in the cloud. But which of these is the best option for your team?
Welcome to the August 2022 edition of Open Source Matters: our regular publication about the latest happenings in open source! Let’s dive into the news.
At GrafanaCONline 2022, Theia Scientific President, Managing Member, and Lead Developer Chris Field and Volkov Labs founder and CEO Mikhail Volkov — a Grafana expert — delivered a presentation about using Grafana and machine learning for real-time microscopy image analysis. Real-time microscopy image analysis involves capturing images on a microscope using a digital device such as a PC, iPad, or camera.
The use of mobile devices within organizations is steadily increasing, and it’s not slowing down anytime soon. Zippia reported that around 3 out of every 4 employees use their personal cell phones for work. Mobile devices in the workplace can provide many benefits, but can also bring more risks, which is why mobile device management is needed.
An application programming interface (API) provides access to the features of a business application, but with the visual elements stripped away. By using APIs, devices like tablets, self-service kiosks, point-of-sale terminals, and robotic sensors can connect up to apps running on servers in a datacenter or in the cloud. Because they give access to the heart of your business applications, it should come as no surprise that there are some APIs that the general public should not have access to.
Michael Stefferson received his PhD in Physics from the University of Colorado before deciding to make the jump into machine learning (ML). He spent the last several years as a Machine Learning Engineer at Manifold, where he first started working on projects in the healthcare industry. Recently, Stefferson joined the team at Cerebral as a Staff Machine Learning Engineer and hopes to leverage data to make clinical improvements for patients that will improve their lives in meaningful ways.
The use of a Real-Time Operating System (RTOS) is increasingly common in embedded software designs. An RTOS makes it easy to divide your code into smaller blocks, tasks, which execute seemingly in parallel and independent of each other, as described in the first article in the RTOS 101 series.