When it comes to virtual reality, achieving human-eye resolution is arguably the main objective -- you want to see things as they would appear in real life, right? In 2017 Finnish company Varjo said it was working on a headset that delivered exactly that, and despite a few delays in its timescales, it's now launched its VR-1 device which promises the high resolution of more than 60 pixels per degree -- equivalent to human-eye resolution -- for the modest price of $6,000. According to Varjo, the headset's resolution is 20 times higher than other devices on the market, and it comes with advanced eye-tracking capabilities. The company said it plans to introduce a mixed reality component later this year. Don't get too excited, though.

Zoho has announced the launch of its next generation business automation applications. The Zoho Office suite consists of four applications: Zoho Writer, Zoho Sheet, Zoho Show, and Zoho Notebook. The release of version 5 sees the applications integrated with Zia, the Zoho AI engine and introduces several innovative and useful features for document creators. Other improvements include Apple TV and Android Integrations, Proprietary Data Cleansing, and Smart Note Card Functionality. Zoho is continuing to introduce Zia across its different platforms.

Zoho has announced the launch of its next generation business automation applications. The Zoho Office suite consists of four applications: Zoho Writer, Zoho Sheet, Zoho Show, and Zoho Notebook. The release of version 5 sees the applications integrated with Zia, the Zoho AI engine and introduces several innovative and useful features for document creators. Other improvements include Apple TV and Android Integrations, Proprietary Data Cleansing, and Smart Note Card Functionality. Zoho is continuing to introduce Zia across its different platforms.

WINTER PARK, Fla.--(BUSINESS WIRE)--Feb 20, 2019--COPC Inc., a global consulting firm that helps companies improve operations to transform the customer experience, and Execs In The Know, a global community of customer experience professionals, have announced the release of the 2018 Corporate Edition of the Customer Experience Management Benchmark (CXMB) Series. The report, The CX Journey: Understanding Corporate Strategies and Best Practices, provides customer experience management insights from the corporate perspective. A key finding is that since 2017, companies have dramatically increased their use of artificial intelligence (AI)-powered solutions for customer service. "Our new corporate report shows that companies see tremendous potential in AI-powered solutions for customer care, both in applications that are customer-facing and in those that assist call center agents with their work. However, we also know from previous research that customers want a quick and easy way out of any AI-powered solution to reach a live person. Our findings overwhelmingly show that companies are keenly aware of this necessity in any customer-facing application. And while customers still want that personal interaction, we think that AI-powered solutions will find their appropriate place in the service journey," said Kyle Kennedy, president and chief operating officer, COPC Inc.

Elon Musk is no stranger to bold predictions, and on Tuesday, he lobbed another one at self-driving tech doubters: The Tesla CEO said the electric carmaker's full self-driving feature will be completed by the end of 2019. And by the end of 2020, he added, it will be so capable, you'll be able to snooze in the driver seat while it takes you from your parking lot to wherever you're going. "I think we will be'feature complete' on full self-driving this year, meaning the car will be able to find you in a parking lot, pick you up, take you all the way to your destination without an intervention this year," Musk said during a podcast interview with the money management firm ARK Invest, which is a Tesla investor. "I am certain of that. That is not a question mark."

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Allen, associate professor of statistics, computer science and electrical and computer engineering at Rice and of pediatrics-neurology at Baylor College of Medicine, will address the topic in both a press briefing and a general session today at the 2019 Annual Meeting of the American Association for the Advancement of Science (AAAS). "The question is, 'Can we really trust the discoveries that are currently being made using machine-learning techniques applied to large data sets?'" "The answer in many situations is probably, 'Not without checking,' but work is underway on next-generation machine-learning systems that will assess the uncertainty and reproducibility of their predictions." Machine learning (ML) is a branch of statistics and computer science concerned with building computational systems that learn from data rather than following explicit instructions. Allen said much attention in the ML field has focused on developing predictive models that allow ML to make predictions about future data based on its understanding of data it has studied. "A lot of these techniques are designed to always make a prediction," she said.