Google's neural networks have achieved the dream of CSI viewers everywhere: the company has revealed a new AI system capable of "enhancing" an eight-pixel square image, increasing the resolution 16-fold and effectively restoring lost data. The neural network could be used to increase the resolution of blurred or pixelated faces, in a way previously thought impossible; a similar system was demonstrated for enhancing images of bedrooms, again creating a 32x32 pixel image from an 8x8 one. Google's researchers describe the neural network as "hallucinating" the extra information. The system was trained by being shown innumerable images of faces, so that it learns typical facial features. A second portion of the system, meanwhile, focuses on comparing 8x8 pixel images with all the possible 32x32 pixel images they could be shrunken versions of.

With 18 months of managed cloud services under its belt, ZeroStack says it's ready to start feeding what it's learned into machine learning algorithms, aiming to further automate the private cloud. The goal is to let application developers run jobs without worrying about things like storage capacity or the optimal placement of applications, says Steve Garrison, the startup's vice president of marketing. "A lot of people are wanting to refrain from managing anything on-premises any more. This is why public cloud is taking off," Garrison says. What ZeroStack offers is infrastructure that can be consumed as if it were a public cloud, but that remains under control of the enterprise -- a "neutral hybrid" alternative for work that the enterprise would prefer to keep closer to home, he says.

We'll see that CART decision trees are the foundation of gradient boosting and discuss some of the advantages of boosting versus a Random Forest. We will explore the gradient boosting algorithm and discuss the most important modeling parameters like the learning rate, number of terminal nodes, number of trees, loss functions, and more. We will demonstrate using an implementation of gradient boosting (TreeNet Software) to fit the model and compare the performance to a linear regression model, a CART tree, and a Random Forest.

Microsoft is readying three of its 25 Cognitive Services tools for wider release to developers. Microsoft's Cognitive Services application programming interfaces (APIs) give developers a way to add features like speech recognition, language understanding, sentiment detection and more to their applications. Cognitive Services and bots are both part of Microsoft's overall artificial intelligence and more specific "conversation as a platform" strategies. Microsoft's Cognitive Services APIs are meant to work well with the Microsoft Bot Framework and be useful in bot scenarios. Like Microsoft's Cognitive Services, bots can be speech, language, and vision-based.

We are still finding our way through the hype surrounding chatbots. They are disruptive, but at the moment, only a few deliver value that makes a strong case against mobile app or Website alternatives. One useful exercise is to classify bots by the different ways in which they provide value to users. It's a great way to reconnect with the basic motivations for using bots. The resulting categories are no coincidence: each one represents a hypothesis on how the use of the messaging canvas could disrupt traditional offerings.

New details about Bixby, the Samsung Galaxy S8's AI assistant, have emerged ahead of the phone's unveiling next month. The virtual helper will support up to eight languages at launch, including English, Korean and Chinese, according to SamMobile. That pushes it out in front of Google Assistant, which supports English and German on the Pixel phone, as well as Hindi, Japanese and Portuguese through the controversial Allo messaging app. However, both trail some way behind Apple's Siri, which supports over 20 different languages. 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.

Broad adoption of powerful cloud computing has unleashed innovation in artificial intelligence technologies, and 2017 is poised to be the year that AI and machine learning applications make their way into the hands of the general public. For those in IT and – more specifically – the managed services space, tools driven by AI are increasingly popping up in everything from customer service and security, to CRM and remote monitoring and management. Machine learning can have a particular impact for IT tech services firms, where increased efficiency can translate directly into more revenue falling to the bottom line. "There is an absolute revolution occurring in artificial intelligence," John Ball, general manager of Salesforce Einstein, told Bloomberg when that AI product launched in September. Machine learning, which represents one type of artificial intelligence, is joined at the hip with big data.

Microsoft's new Artificial Intelligence and Research Group announced that its Microsoft Cognitive Services includes now 25 tools forming the backbone for Cortana digital assistant and the Skype Translator. According to Hot Hardware, two of the new APIs created by the company's new Artificial Intelligence and Research Group are the Content Moderator and Bing Speech. Bing Speech is capable of both converting text to speech and translating speech into text. Microsoft's speech recognition technology uses language and acoustic models to in order to distinguish between similar-sounding words and to customize its services for a specific language. In order to narrow the focus of the recognition engine, a Custom Speech Service lets developers supply their own data.

A fortnight ago the bank had announced that it will soon introduce a humanoid IRA - intelligent robotic assistant to help its branch staff in servicing customers. "In the next 18-24 months we are looking at atleast 15-20 humanoids in our branches with different manifestations and versions, it may be different looking with a different name," said Nitin Chugh, Country Head, Digital Banking, HDFC Bank. "Specific humanoids will be built to cater to needs of customers in those branches." Developed using Robotics and Artificial Intelligence technologies, IRA will be positioned near the Welcome Desk, where it will greet customers and guide them to the relevant counter in the branch such as Cash Deposit, Foreign Exchange, Loans, among others in the first phase. In the next phase, IRA's capabilities will be enhanced further by introducing features such as Voice and Face recognition for customer identification, Voice-guided navigation, Balance enquiry, and Cheque deposit among others.

Artificial intelligence is all around us, from searching on Google to what news you see on social media to using Siri. And with the momentum around AI growing every day, it's not surprising that some of the most innovative retail sites have recently been experimenting with the use of AI, as well. Businesses that ignore this growing trend will find themselves playing catch-up for years. The big question is how exactly is this new technology going to change retail. E-commerce is a space with a lot of potential, in part because it's such a data-rich industry, and, there's some momentum around AI gathering already. What's more, a lot of the AI techniques that are enjoying success in other applications are well-positioned to make serious impact on the space, streamlining retail processes and transforming the online experience into something more like talking to an experienced salesperson at a brick-and-mortar location.