The Artificial Intelligence revolution is here. We are moving further into an age, where the imagination stirred from our childhood spent watching movies, is now becoming reality. Leading us into this age are the typical (and untypical) tech giants, who are fiercely competing for the next break through. Project Oxford is Microsoft's venture into the world of artificial intelligence and deep learning. It takes in several key areas, including image, facial, text and speech recognition, and hopes to implement the technology into its computer operating systems and smartphone software.
It has been reported that Baidu's most recent investment has come in the form of deep learning capabilities, which they are looking to use for Phoenix Nest, their ad-bidding platform. Although the company always keep a fairly tight lid on future projects, one could safely assume that the deep learning technology could soon find its way into Minwa's architecture, removing the need for many of the developers inputting code and deleting abnormalities. This would also create the opportunity for Minwa to be involved in a more philanthropic role as Watson has started to be used.
Artificial Intelligence evokes a whole gamut of reactions. The cinematic world has been taking unrestrained creative liberty for ages. Such ambiguities that hound artificial intelligence (AI) clearly stem from an inherent lack of understanding of its root concepts. Interestingly, in one form or the other, the human race is already surrounded with AI. The era of Artificial Intelligence has begun.
INFLUENCER: "Conversational artificial intelligence is alive and well," says Paul Slattery, Technical Director at AKQA Berlin One of the most natural things for humans to do – engage in a simple conversation – has been one of the hardest things for machines to master. Yet a new era has started where we might chat with machines more often than we do with each other – as conversation becomes the most effective interface for getting things done. Conversational AI (Artificial Intelligence) is alive and well in applications like Telegram, which passed 100 million active monthly users earlier this year. Facebook has re-launched Messenger as a platform with built in AI; x.ai has spent the last two years teaching'Amy', its calendar AI, how to handle meeting schedules via email; and a 19-year-old has created DoNotPay, a free chatbot AI lawyer that has appealed 3 million in parking tickets. Let's have a look at how these intelligent systems work, the advantages they present to us and where we might be heading.
When the world's smartest companies such as Microsoft, Google, Alphabet Inc., and Baidu are investing heavily in Artificial Intelligence (AI), the world is going to sit up and take notice. Chinese Internet giant Baidu spent USD1.5 billion on research and development. And as proof of China's strong focus on AI and Machine Learning, Sinovation Ventures, a venture capital firm, invested USD0.1 billion in "25 AI-related startups" in the last three years in China and the U.S. Research shows that although genuine intelligence may still be a bit far off, AI and Machine Learning technologies are still expected to reign in 2017. Try reading up on Microsoft Project Oxford, IBM Watson, Google Deep Mind, and Baidu Minwa, and you'll understand what I am trying to get at. In 2015, Gartner's Hype Cycle for Emerging Technologies introduced Machine Learning (ML), and the graph showed (Figure 1) that it would reach a plateau in 2 to 5 years.