News, ideas and ponderings from the YND team.
Startup Spotlight: Asumma
9 Reasons Why Fintech Apps Are So Hard to Design
The value of fintech market is predicted to reach $46 billion in 2020, which means that the demand for fintech apps will grow exponentially and the days of underestimating UX and UI design are over. An immersive user experience is as much of a competitive advantage as the technological aspects of those apps, such as safety mechanisms and payment processing. There are many reasons why creating an outstanding fintech app isn’t so easy to design. We've rounded up the nine most common challenges you have to be aware of during the design process.
TensorFlow vs Pytorch
“I’m not stating my opinion - I’m just giving a framework overview.” There are already countless blog posts on TensorFlow vs PyTorch out there, so why another comparison? We started using PyTorch at YND almost a year ago. Based on our experience, I’ll explain why we’re still using this framework instead of TensorFlow, despite changes in both of them. You’ll find a code comparison and conclusions on different aspects of development with each framework. Let’s get started!
Introducing Cleanride, YND Studio’s Latest Venture
As a team with deep expertise and interest in AI projects, it was only a matter of time before we launched our next one. Enter Cleanride, an AI-powered solution to detect interior issues in shared cars and YND Studio’s latest venture.The team’s work on Cleanride was recently recognised by reaching the finals of the Volkswagen Nutzfahrzeuge Innovation Challenge 2018.
Anti-Spoofing Mechanisms in Face Recognition Based on DNN
Biometric Antispoofing Methods: A Survey in Face Recognition, Javier Galbally, Sébastien Marcel, Julian Fierrez
Car Detection & Recognition Using DNN Networks
A lot has been said and done about innovation in the automotive industry in 2017. The essential driving mechanics & propulsion are being vividly disrupted by electrical engines and alternative fuels… While at the same time cars gain self-driving capabilities and deep environment awareness — thanks to computer vision and Machine Learning.