One of the most rewarding aspects of developing innovative IoT systems at scale is the opportunity to define the process and make sense of a rapidly changing marketplace where no single methodology, platform or approach dominates yet.
This year, Stack Overflow asked 100,000 developers worldwide how they feel about the tools they use and about their working environment. The 2018 survey also covered some new topics ranging from artificial intelligence to ethics in coding.
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.
“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.