There is no question that Machine Learning (ML) and Artificial Intelligence (AI) are at the top of the hype curve. 2016 proved to be an amazing year for machine learning and AI. During the year, we saw nearly every high tech CEO claim the mantel of becoming an ‘AI Company’. Notably Amazon, Facebook, Google, IBM, Microsoft, Tesla Motors and NVIDIA, were the chief companies who significantly invested in AI. The appetite for AI & ML continues this year as well. To begin with –
Cisco has announced its intent to acquire MindMeld, a privately held artificial intelligence (AI) company based in San Francisco. MindMeld has pioneered the development of a unique AI platform that enables customers to build intelligent and human-like conversational interfaces for any application or device. Through its proprietary machine learning (ML) technology, MindMeld delivers incredible accuracy to help users interact with voice and chat assistants in a more natural way. Rowan Trollope, Senior Vice President, Cisco, said in a blog post “MindMeld’s technology and staff would help improve the company’s various chat and related workplace software.”
“We realized that to really enable our customers to have more natural, conversational interactions in our enterprise collaboration tools, we’d have to do more for them, and do more of the heavy lifting,” said Trollope.
On the other hand, for the third year in a row, Microsoft is heavily promoting machine learning services at its Build developer conference. On the first day of the conference itself, Microsoft unveiled a number of new artificial intelligence capabilities that can be integrated into everything from online presentations to business database management.
Microsoft‘s vision of artificial intelligence is to make those capabilities ‘available to everyone, from developers and data scientists to tech enthusiasts and students,’ Harry Shum, Executive Vice President – AI and Research Group, Microsoft. Shum said Microsoft now offers 29 different cognitive services to developers, making it possible for them to incorporate AI capabilities in new apps ‘with just a few lines of code.’
Another intelligent service, the Microsoft Bot Framework, lets developers create ways for people to interact with AI in conversational ways. “We are infusing AI into every product and service we offer, from Xbox to Windows, from Bing to Office,” Shum noted. For example, one new offering unveiled yesterday, Presentation Translator, will use Microsoft‘s Translation APIs to enable real-time translations in a variety of languages during PowerPoint presentations.
“Once launched, Presentation Translator embeds live transcriptions of the presenter into a specific language and even generates a unique link that attendees can use to get translations in their own language in real time,” Shum said.
Twitter is now using artificial intelligence on its micro-blogging website to rank up tweets in users’ timeline, quitting on a year-old algorithm it had been using until now – to server its 328 million monthly active users. The ranking algorithm is powered by deep neural networks, leveraging the modeling capabilities and AI platform.
Twitter had acquired machine learning start-up Magic Pony technology and open-sourced some of its deep learning software. However, the company remains enigmatic on its works on artificial technology into the platform.
Twitter is constantly evaluating and scoring thousands of tweets per second to analyse what’s worth recommending in timelines. The firm is also taking pictures, videos, likes and re-tweets into account, among a number of factors to determine which tweet should show up in timelines.