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. In our previous blog post, we described how machines learn to “understand” and use natural language. Here is a shortlist of some of the… Read More
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.
In March 2017, the top four mobile messaging apps equaled social media for the first time ever. WhatsApp, Facebook Messenger, WeChat, and Viber had 2.125 billion monthly users, mostly on mobile. The same as the top four social media platforms combined – Facebook, Twitter, LinkedIn, and Instagram. It’s fair to say that messaging is taking over social media as the… Read More
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.”