The Future is Almost Here: Auriga Develops Computer Vision for Autonomous Driving

In many ways, 2016 was an important year for driverless vehicles full of historic moments. In that year, major automakers—from Daimler to BMW, Audi, and Hyundai—invested billions of dollars in autonomous vehicle development and worked in partnership with tech players to become leaders in the race for self-driving cars. It was the year driverless and semi-autonomous cars were made available to the public for the first time, at least in trial mode, and the year that sparked a hot debate on the challenges of self-driving mobility and car automation. Continue reading

3 Questions You Always Wanted to Ask about Machine Learning

The cognitive and automation technologies behind artificial intelligence (AI) are quietly reshaping the world. Machine learning, deep learning, neural networks, biometrics, natural language processing, Big Data, and predictive analytics have unlocked our imagination, and things that were a dream a few decades ago are now a reality. Continue reading

Not a Waterfall but a Whirlpool: Embedded Software Testing and Compliance Tracking in the Agile Era

Compliance with industry standards is not something you can skip or build in later—it is an integral part of the entire embedded software development process. It has always been crucial, considering that many industries—avionics, automotive, and healthcare, just to name a few—require highly sophisticated, safety- or life-critical embedded systems. In recent years, however, the role compliance tracking and embedded software testing play in the development cycle has greatly evolved, overturning the whole game’s rules. And when the rules of the game change, you have to change with them to win. Continue reading

Why it Pays to be a Leader in Embedded Software Testing

Traditionally, or say 10 years ago, most organizations were functionally separated, and there was rarely cross-departmental integration between software engineers, test teams, and IT operations specialists. Departments usually had contradicting goals: developers sought new features, operations strived to ensure organizational stability, and testers wanted to minimize risks. However, the changing technology environment necessitates a change in the approach to the whole software development process. Continue reading

Pros and Cons of Open Source Software in Healthcare

Over the past decade, health IT has evolved from an administrative mechanism to a clinical tool for improving the quality and efficiency of healthcare. Such cutting-edge technologies as the Internet of Things (IoT), cloud, big data, and artificial intelligence have made their way into the healthcare industry, and the rapidly growing scope of information shared has generated the need for accessible, affordable, and widely supported software development tools and technologies. Continue reading