Personetics, which has offices in New York, London and Tel Aviv, creates "chatbots" that can respond to customer questions through popular messaging platforms like Facebook Inc's Messenger. French bank Societe Generale, for instance, is using Personetics to answer queries about equity funds in its Romanian banking unit.

Facebook is secretly building artificially intelligent systems that can read people's private messages, according to a major manifesto published by Mark Zuckerberg. The Facebook CEO posted a 6,000-word essay in which he worried about the end of globalisation and seemed to suggest that Facebook would be necessary for the future safety of the world. But it didn't include one paragraph that had been expected to be part of it – apparently as a result of the worrying features it suggested the social network was developing. In one version of the text, Mr Zuckerberg wrote about the fact that Facebook appeared to be using artificial intelligence for online surveillance. It could eventually develop robots that would read through people's private messages and check for anything that it deems worrying, the manifesto read. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

Paraphrasing Garrison Keillor, it's been a quiet week in the Apache Spark community - at least compared to last year, where the definitive Spark 2.0 was unveiled. Last week, Spark Summit pulled into Boston, and so did one of those nor'easters that make Boston so alluring in February. And so the Spark project, for now, is engaging in the blocking and tackling chores of cleaning up or optimizing APIs. For instance, a recent update of Spark 2.0 has added pipeline processing for enabling more efficient running of complex machine learning jobs. And of course while we're on that topic of machine learning, it was virtually impossible to evade presentations covering it.

From the millions of Amazon Alexas to the self-driving car, new products are coming to market infused with machine learning. The innovation offered by machine learning techniques are real, and they will changed the SaaS world. How can startups use machine learning to their advantage? These applications alone make for tremendous advances. But, combinations of these applications lead to incredible things.

Depictions of the future in books and film are usually influenced by what's going on at the time, reflecting social malaise, impending armageddon, or economic anxieties. The robots in classic sci-fi usually resembled humans, as most authors assumed they would eventually assist us in the same tasks humans did. Instead, however, today we find artificial intelligence doing some of our thinking for us, but it's more often solving problems that don't need intervention from self-contained humanoid robots. The promise of autonomous robots that matched our abilities has given way to a more specific focus on tasks that are fulfilled by armies of smaller bots controlled by machine learning and algorithms running in the cloud. Their scope is more complex, but a lot less dramatic than, say, Forbidden Planet's Robby the Robot, or the replicants from Blade Runner.

So I started this as a journey to learn how to get an Android App to tell me the brand of the beer I was having, which would be a cool base idea to develop an app such as "Vivino" that does precisely this but with wine. Wouldn't it be nice to have app such as "Vivino" but for beer?… I first started checking how could software determine the contents of an image and came across TensorFlow which is Google's answer to that question (and many many others). TensorFlow provides the base machine learning algorithms that Google use to determine the contents of your images, mails, and your life in general (obviously). Since it is open source you are able to extend it as you like; for example to re-train it with another specific images, improving its chances to classify them.

That's because customers rely on an increasingly wide range of tools to connect with businesses, including social media, email, texting, and other messaging platforms. Today, enterprise technology giant Salesforce is rolling out new artificial intelligence tools to keep those communication channels running smoothly, and triage customer service requests as they come in. Salesforce calls the technology Service Cloud Einstein, extending its Einstein artificial intelligence initiative to its Service Cloud customer service platform. It's a collection of tools that use machine learning to inform, guide and learn from the work of customer service agents and contact center managers. Salesforce CEO Marc Benioff launched the larger Einstein project last year, promising to bring artificial intelligence to all of the company's products and services.

Education stands to benefit from rapid developments in artificial intelligence. But historically, adaptive learning software has been programmed in a top-down fashion. It asks a question, and if the child provides a particular answer, a set of prompts or tips might be shared or a new (perhaps easier, perhaps more advanced) question might be asked. Whether this is or is not AI is up for debate; however, the development of such programs is labor intensive and generally only effective in providing practice for concepts taught in class. As the Innovation Leader at an international education company, I work with both educational leaders on leveraging digital learning ecosystems and with education technology companies to improve their products for use in our schools.

BERKELEY, CA--(Marketwired - Jan 25, 2017) - LeadGenius today announced that Qin Zhang has joined the company as Vice President of Engineering. LeadGenius provides B2B marketing and sales teams with highly-accurate lead generation data and go-to-market insights through a combination of machine learning and human researchers. Before joining LeadGenius, Zhang was Vice President of Engineering for EverString. With more than 15 years of technology product development experience, Zhang has scaled engineering teams at a range of companies, including firstRain, Primavera Systems, and EverString. "Qin will focus on scaling the LeadGenius engineering team and the core machine learning technology powering the LeadGenius platform," said Prayag Narula, CEO of LeadGenius.

The world's first rotating skyscraper is set to be built in Dubai by 2020. The Dynamic Tower Hotel has been planned since 2008, having been proposed by Israeli-Italian architect David Fisher. It will stand at 1,375 feet tall, with each of its 80 storeys capable of rotating individually around a concrete core, offering 360-degree views of Dubai. Residents will be able to control rotation speeds and stop their apartment from spinning with voice commands. The skyscraper is expected to be completely self-powered, reportedly featuring as many as 79 horizontal-lying wind turbines between floors, as well as roof-mounted solar panels.