Mobile Robots Grow Up

whitePaper | February 24, 2022

Cloud-native engineering empowers organizations to design and develop scalable, agile, cost-effective applications and run them in dynamic environments such as on-premises or in public, private, or hybrid clouds. A cloud-native application consists of microservices working together in an application that can be scaled easily. These microservices are often packaged in code along with libraries and dependencies to run anywhere. In a cloud-native app, the application code is designed, built, and delivered very differently than it would be for conventional, monolithic apps. Cloud-native engineering enables loosely coupled systems that are resilient, manageable, and observable to be combined with robust automation, allowing engineers to make changes frequently.

whitePaper | April 30, 2021

How an interactive approach to automation infrastructure can conserve resources while accelerating innovation. iscover the power of embracing agility over predictability, especially in uncertain times.See how agile automation can help identify challenges before they waste resources.Learn why a segmented automation approach can mitigate business and technical risks

whitePaper | December 13, 2019

Today's automotive Original Equipment Manufacturers are in a race to satisfy consumer demand for an expansive and rapidly evolving array of digitally reliant vehicle capabilities, functionalities, and features. The dependence of these offerings on automotive electronic architectures has drastically altered the relationship between development organizations and vehicle software and silicon.

whitePaper | November 14, 2019

When specifying the mechanical and electrical equipment for a building, it is easy to assume that extra capacity is a good thing, but it actually can be just as counterproductive as having undersized installations. In the first place, extra capacity comes at a higher upfront cost, which makes the building owner assume unnecessary expenses. There are also many types of equipment that experience performance issues when over-engineered, which can range from low energy efficiency to a diminished service life.

whitePaper | June 30, 2021

Healthier spaces mean healthier people. The pandemic has given us all a chance to help rebuild the idea of healthy buildings from the ground up—not just until we make it through the pandemic, but long term. Keeping people safe now hinges on implementing a fact-based, expert developed, and dynamic approach to occupant wellness: one that helps mitigate both air and surface based viral transmission risks, while also increasing efficiencies and the financial health of your operations.

whitePaper | May 12, 2022

Machine learning is powering most of the recent advancements in artificial intelligence including autonomous systems, computer vision, natural language processing, predictive analytics, and a wide range of applications among the seven patterns of AI. However, in order for these systems to be able to create accurate generalizations, these machine learning systems must be trained on data. The more advanced forms of machine learning, especially deep learning neural networks, require significant amounts of data to be able to create models with acceptable levels of accuracy.