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.
“It was probably the most intense developer event I got to experience since I have joined Actility about a year and a half ago.” This is how Alexandre Estela, Experience Engineering Director with Actility, describes the time he spent during the CityHack 2017 competition.
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.
Tremend designed and built for ING Bank a complex card-linked loyalty solution, intended as a powerful marketing tool that allows merchants to target very specific client segments (using bank’s demographic and transactional data) to deliver promotions.
Over 100 specialists attended the hackathon, including some of the top developers, designers, project managers and marketing specialists from the three companies. They split into 13 teams and strived to develop the best smart city solution.
Around 300 car models are Android Auto-ready today. Nvidia, the mobile tech supplier and over 28 car manufacturers have joined efforts to promote the platform, as part of the Open Automotive Alliance.
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.
The Portable Document Format (PDF) is a file format used to present documents in a manner independent of application software, hardware, and operating systems. Each file encapsulates a complete description of a fixed layout flat document.
Today, using a display to interact with technology is so commonplace that even the most low-tech experiences are getting a screen for basic tasks. Think of fridges, trash bins or even hotel lobbies. The advent of AI and machine learning is further accelerating the change.
Or the Good, the Bad and the Most Wanted of Coding tools. Software engineers feel strongly when choosing between one technology or another. And it sure pays to listen to them carefully. We certainly do, at Tremend.
The Internet of Things is becoming huge. Numbers increase exponentially. From two billion in 2006, over 200 billion “things” will be connected by 2020. That includes 1.9 billion home devices and 90% of all running cars. Over 82% of businesses will be impacted.
The ambitious project of a full stack eCommerce solution for Carrefour, one of the largest retailers in Europe, determined us to come with a reliable, scalable and decoupled solution. The process of automatically managing hundreds of orders per day implies high availability, redundancy and fault tolerance.
When the Ariane 5 rocket exploded mid air in June 1996, only 36 seconds after its test launch, the software aboard the spaceship was working within official specifications. Still, it was a software error that had caused the disaster.
Software testing can feel a lot like being a demolition man. Or like being a curious kid with an appetite for dismantling expensive toys. It comes with the daily practice of getting into the mindset of end-users of all kinds.