SAN FRANCISCO--Guiding Oracle's development of its latest generation of cloud applications are three main business imperatives: help customers innovate rapidly, create nimble processes, and make the most of their mobile, social, and other communications channels. Speaking at Oracle OpenWorld, Steve Miranda, executive vice president of applications development, emphasized the considerable work the company has done incorporating machine learning algorithms into its comprehensive, tightly integrated suites of cloud applications. "We're ready to run your business in the cloud," Miranda said. At Oracle OpenWorld, Steve Miranda, Oracle's executive vice president for applications development, outlines machine learning capabilities in the company's cloud applications. An intuitive, easy-to-use, voice-enabled user interface that runs on various computing platforms but is especially suited to mobile devices.

The phrase "artificial intelligence" in pop culture often conjures up dystopian images such as the sentient computer Hal 9000 from the 1968 film "2001: A Space Odyssey" that killed people for its self preservation; or the cyborg assassin with a metal endoskeleton in director James Cameron's "The Terminator." In recent years, our fascination with the potential of AI has taken a more starry-eyed turn, as shown in the 2013 sci-fi drama "Her," where the main character falls in love with a virtual assistant. In reality, artificial intelligence (AI) technology is quickly permeating every aspect of our lives. From Amazon's voice-activated Alexa to writing technology that helps managers craft job postings, AI is in our hearts, homes and workplaces. And it's only going to become a bigger part of our lives: Experts call the rise of AI the driving force behind the fourth industrial revolution. On a recent afternoon at the NVIDIA robotics research lab in Seattle's University District, researchers use a simulated kitchen to test robots' ability to perform simple tasks such as grabbing objects.

The new iPhones are in stores now. With their release, the 2019 tech buying season has officially begun. Facebook released its fall hardware lineup on Wednesday, and Roku updated its streaming player offeringsThursday. Meanwhile, Amazon is set for this upcoming Wednesday, and Google and Microsoft have October events lined up. The e-tailer will host press next week at its Seattle headquarters, where the company is expected to introduce several new Amazon Echo speakers and other products.

Oracle announced availability of its AI-trained voice with Oracle Digital Assistant. Now, enterprise customers can use voice commands to communicate with their enterprise applications to drive desired actions and outcomes, enriching the user experience with conversational AI, simplifying interactions and improving productivity. "Enterprises are demanding an AI-powered voice assistant that understands their specific vocabulary and enables naturally expressive interactions for its users," said Suhas Uliyar, vice president, AI and Digital Assistant, Oracle. "Most of all though, enterprises value a highly secure AI-powered voice assistant that stores their business' sensitive data in Oracle's second generation cloud infrastructure." Built on Oracle's next-generation infrastructure, Oracle Digital Assistant applies AI with deep semantic parsing for natural language processing (NLP), natural language understanding (NLU) and custom machine learning (ML) algorithms.

G4 instances provide the industry's most cost-effective machine learning inference for applications, like adding metadata to an image, object detection, recommender systems, automated speech recognition, and language translation. G4 instances also provide a very cost-effective platform for building and running graphics-intensive applications, such as remote graphics workstations, video transcoding, photo-realistic design, and game streaming in the cloud. Machine learning involves two processes that require compute – training and inference. Training entails using labeled data to create a model that is capable of making predictions, a compute-intensive task that requires powerful processors and high-speed networking. Inference is the process of using a trained machine learning model to make predictions, which typically requires processing a lot of small compute jobs simultaneously, a task that can be most cost-effectively handled by accelerating computing with energy-efficient NVIDIA GPUs.

According to Gartner, artificial intelligence (AI) is not defined by a single technology but by an array of capabilities and research, from advances in algorithms to abundant computing power and advanced analytical methods such as deep learning. It sounds like the voice that responds from a smart speaker when we ask about the weather or to tune into a podcast. A vast majority of CXOs are already relying on consumer technologies such as voice-activated digital assistants in their work, according to a recent survey by PwC. Imagine how much more powerful those virtual assistants could be with access to the collective knowledge of the enterprise and the ability to know individual users and what they need to work best. And imagine putting that power into the hands of users across the enterprise, in the meeting room, on a factory floor or in any device they use to do their jobs.

You don't want to lose an item tagged with a Tile Bluetooth tracker, but you'll at least have an easier time finding it in the near future. Tile is planning Google Assistant support that will let you directly ring your tracker from any device that supports the AI helper, making it just a matter of a quick voice command. You could find your keys just by asking your Nest speaker while you're frantically searching between the couch cushions.

In today's digital dating world, communicating clearly can sometimes get lost in translation. That's why new relationship terms have taken on a life of their own. Here are 5 new dating terms you should know. A young model unlucky in love has spoken about her worst Tinder dates, including the time a date bought her a pet Chihuahua -- and then accidentally killed it. Jodie Weston, 26, has turned off popular dating app Tinder for good after using it for just two weeks in hopes of meeting "Mr. She went on three nightmare dates with three guys – one who fell off his chair because he was leaning so close "his face was nearly buried in my cleavage." A second man took Weston to the cinema to watch the horror flick "The Purge," only to be later confronted by his furious wife. A young model unlucky in love has spoken of her worst Tinder dates, including the time a date bought her a chihuahua and then accidentally killed it. The third, however, was easily Weston's worst dating experience yet. She said the man turned up to her flat in Canary Wharf, London with a Chihuahua as a gift. 'SOFT GHOSTING' IS THE LATEST TERRIBLE BREAKUP TERM Jodie Weston, 26, has turned off popular dating app Tinder for good after using it for just two weeks in hopes of meeting "Mr.

Between 2018 and 2019, organizations that have deployed artificial intelligence (AI) grew from 4% to 14%, according to Gartner's 2019 CIO Agenda survey. AI is reaching organizations in many different ways compared with a few years ago, when there was no alternative to building your own solutions with machine learning (ML). AutoML and intelligent applications have the greatest momentum, while other approaches are also popular -- namely, AI platform as a service or AI cloud services. Conversational AI remains at the top of corporate agendas spurred by the worldwide success of Amazon Alexa, Google Assistant and others. Meanwhile, new technologies continue to emerge such as augmented intelligence, edge AI, data labeling and explainable AI.

Between 2018 and 2019, organizations that have deployed artificial intelligence (AI) grew from 4% to 14%, according to Gartner's 2019 CIO Agenda survey. AI is reaching organizations in many different ways compared with a few years ago, when there was no alternative to building your own solutions with machine learning (ML). AutoML and intelligent applications have the greatest momentum, while other approaches are also popular -- namely, AI platform as a service or AI cloud services. Conversational AI remains at the top of corporate agendas spurred by the worldwide success of Amazon Alexa, Google Assistant and others. Meanwhile, new technologies continue to emerge such as augmented intelligence, edge AI, data labeling and explainable AI.