The company behind the Windows PC software reported revenue of £19.1bn ($24.1bn) in the three months to December 31, up on the £18.9bn it generated in the same period last year, an increase driven by the firm's cloud-based products, Mr Nadella said. Since taking over as chief executive in 2014, Mr Nadella has shifted Microsoft's focus to its cloud business and software and away from hardware including smartphones. "Our customers are seeing greater value and opportunity as we partner with them through their digital transformation," he said of the latest figures, which also included £4.1bn in net income.

In this presentation, Team Jasper discusses why today all stars are aligned to disrupt the recruiting industry using AI. In the first part, we explain how our direct experience with job seekers and businesses helped us realize the importance of "conversational UI" in the recruiting process. In the second part, our AI team explains our innovative approach towards building an intelligent agent who communicates with users via natural language. Jasper is an AI-powered bot who recruits engineers. Team Jasper is comprised of Omid Aminfar (founder & CEO) former engineer and project manager in aerospace companies, Farzad Qassemi (co-founder & Chief AI Scientist) former machine learning specialist at Wolfram, and Sadegh Salehi (Machine Learning Intern) PhD student and machine learning researcher at Northeastern University.

Apple's iOS 10.3 software describes how Apple wants to gather iCloud data to improve services. Apple long has argued in favor of customer privacy, but the company wants to do more with your personal data so services like Siri voice recognition can get smarter. A new option in its iOS 10.3 software, released earlier this week for beta testing, asks iPhone and iPad users to share iCloud account data. Privacy is a thorny issue for tech companies. It sounds nice in principle, but it's technically complicated. And until an FBI investigator arrives, we're more likely to care about how well our phones steer us around traffic and flag important messages than we are about whether a tech company's data center is peering into our personal lives.

The latest version of Apple's mobile software, iOS 10.3, is out now in public beta form, and while some incoming features like a lost AirPods locator are easy to pick out, other additions may not be so obvious. A new feature in iOS 10.3 lets users send Apple data gathered from iCloud, giving the tech giant the resources to improve its products and services, according to TechCrunch. The feature's description also explicitly names Apple's digital assistant Siri as one of the services that would directly benefit from iCloud Analytics. This feature is coming to light right after it was revealed Apple is a founding member of the Partnership on AI, a consortium of businesses including Microsoft, Google, and Amazon that collaborate on advancing and advocating artificial intelligence technology. The partnership - combined with the data potentially available to Apple following the full release of iOS 10.3 - could greatly bolster the iPhone maker's AI development and help Siri stay competitive against the likes of Microsoft's Cortana or Amazon's Alexa.

This project is maintained by Jiwei Li. This repo will continue to be updated. After training, the trained models will be saved in save_t_given_s/model*. Decoding given a pre-trained generative model. The pre-trained model doesn't have to be a vanila Seq2Seq model (for example, it can be a trained model from adversarial learning).

Artificial intelligence will come to the forefront this year in marketing departments across the world. But do marketers really understand what AI is in marketing and how to best implement it in their marketing strategies? A Demandbase and Wakefield Research AI survey asked just these kinds of questions of marketers and found some very interesting results. To understand the results of this survey at a deeper level, I spoke with Aman Naimat, SVP of Technology at Demandbase. Naimat has a very extensive background in data science.

Over the last two decades, banks and financial institutions have achieved significant efficiencies through outsourcing, offshoring and labor arbitrage. Those levers can only go so far, however, when it comes to further cutting costs and simultaneously growing revenues -- particularly at a time when disintermediation is increasing and budgets are diminishing. To address this, enter the "bots": Financial services institutions including retail banks, investment banks, custodians, commercial banks and insurers are turning to digital labor, which represents a new wave of technologies such as robotics process automation (RPA) and cognitive automation. "Bots" are not the electromechanical robots with arms and legs one may have seen in sci-fi movies. Instead, this refers to software configured to interact with computers and applications just like a human would, performing high-volume, repetitive processes and tasks.

Artificial intelligence is gaining traction faster than anybody imagined – quickly knocking down the dominoes of complex tasks that computers have long struggled with. For example, in April this year, Wired Magazine ran an article explaining why AI still sucked at transcribing speech. But just six months later, AI is now as good as humans at listening! And there have been similarly dramatic advances in other areas. Adding machine learning to Google Translate has improved error rates by up to 85% since it was introduced a month and a half ago! "It has improved more in one single leap than in 10 years combined" -- The list goes on: Google's AI can already lip read better than people, and the company's image service is now better than people at recognizing and tagging images.

Our SMS search engine, called Text Engine, was originally created in 2013. The idea was to create a utility that would enable users to search the Web without needing to use a web browser and without using data. Text Engine accomplishes this by giving you access to vital, basic web information just by sending and receiving text messages. To keep Text Engine relevant for an ever-changing mobile market, our investors suggested that we think about adding a chatbot experience to Text Engine. So that's what we did.

When industry leaders launched a non-profit organization in September to create best practices for artificial intelligence, one company was notably missing. On Friday, the Partnership on AI announced that Apple had joined as a founding member. The organization, which will publish research on the ethics, transparency and reliability of AI, among other things, was initially made up of tech giants Amazon, Microsoft, Facebook, Google and IBM. Though Apple collaborated with the partnership since before it was announced last year, it wasn't officially a member until now. Tom Gruber, Apple's head of advance development of Siri, will represent the company. "We're glad to see the industry engaging on some of the larger opportunities and concerns created with the advance of machine learning and AI," Gruber said.