It’s been over a year since PSD2, or European Union’s Payment Services Directive 2, was first released to the open public. This directive, considered by many voices in the banking industry to be the most significant regulation in Europe to…
Introduction Over the course of 18 years in the Functional Verification field, I’ve been asked many times what it is that we actually do. Are our desks draped in wires, cables and measurement devices? Are we testers? What exactly are…
From the series: A practical approach between myth and reality In the previous article, we presented two ways of categorizing conversational agents — more widely known as chatbots — along with their advantages, limitations and use case scenarios. In the…
Especially over the last few years, many businesses have been considering the idea of building or acquiring their own AI-enabled conversational agent. However, despite the interest, research and effort that are put in, there are still just a handful of successful attempts.
Natural language processing is a messy and complicated affair but modern advanced techniques are offering increasingly impressive results. Word embeddings are a modern machine learning technique that has taken the natural language processing world by storm.
An interview with Petrica Martinescu, Lead Architect Web Platforms, Tremend. Microservices are emerging as the preferred way to create enterprise applications, bringing a wide range of advantages such as isolated risk and faster innovation, flexibility and agility.
Over the past few years we’ve seen amazing improvements in machine learning applied to natural languages. New applications have emerged, and some of them are likely to change how humans communicate with each other and with their computers.
Google is making a big impression right now with the launch of the Pixel Buds, the earphones that can translate conversations between 40 languages. This is just the latest display of remarkable machine learning power, applied to human language.
WhatsApp, Facebook Messenger, WeChat and Viber had 2.125 billion monthly users, mostly on mobile. The same as as the top four social media platforms combined – Facebook, Twitter, LinkedIn and Instagram.
From our experience, microservices are mainly employed when clients want to develop or rewrite an application for which they forecast uneven growth. That can happen when a certain business segment is expected to grow, or change radically.
Which do you think works better for your company – one big machine that does all the jobs, or several sleek tools that deal with various parts of your business? No surprise here, the consultant’s answer would be “It depends.”
Mircea Marghidanu, lead developer at Unity3D was our guest at Tech Talks@Tremend for a presentation on game development, code testing and human perception limits.