An autonomous-driving Lincoln MKZ equipped with Nvidia technology gives a demonstration ride during the 2017 CES in Las Vegas, Nevada, on Jan. 5. Reuters An autonomous-driving Lincoln MKZ equipped with Nvidia technology gives a demonstration ride during the 2017 CES in Las Vegas, Nevada, on Jan. 5. She is the chief scientist with Google's AI and machine learning team, and advises Toyota Motor's AI development team operating in Silicon Valley. Supporting the research of scientists like Li is Nvidia's GPUs, which can process graphics data at lightning speed by dividing huge amounts of data into blocks and processing them in parallel.
Applications of AI and machine learning are exploding around the world as businesses and governments buy into the fast-developing technology to cut costs, improve security and better serve their customers and citizens. Research by Accenture, a leader in artificial intelligence research and development, sees economic growth rates of many developed countries doubling by 2035 due to AI, with labor productivity increasing as much as 40 percent. The survey identifies AI followers as marketing companies, which primarily use AI to gauge future customer purchases, improve media buying, monitor social media and tailor promotions. Maria Marinina on CustomerThink.com recommends trying Quill Engage to quickly produce useful reports based on Google Analytics data.
While Spotify may still be having a difficult time achieving profitability, the company has the money to continue buying essentially whatever it wants, as the financing and fundraising never seems to stop. In 2016 alone, the powerhouse collected $1 billion in debt financing and another half a billion in a convertible note, and that is to say nothing of the untold millions that weren't revealed in fundraising rounds and the actual revenue brought in by the company on its own.
Salesforce CEO Marc Benioff isn't just predicting that artificial intelligence will one day help run everyone's companies, he's already using it at Salesforce today. He's got a special, not-yet-released version of Einstein, the company's artificial intelligence tech baked into its products, helping him run his company, he told Wall Street analysts on Thursday during the company's quarterly conference call. He invites this version of Einstein, called Einstein Guidance, to his Monday morning staff meeting, where up to 30 top executives update him on their progress for the quarter. One day, most CEOS will likely have a so-called AI "executive" listening on meetings and keeping everyone honest with the data.
One of the main talking points at this year's conference will likely be artificial intelligence. Google has been slowly injecting AI into many of its products and services and the company's CEO Sundar Pichai has sounded very bullish on the prospects of artificial intelligence in recent public appearances. According to numbers compiled by CB Insights, the company acquired 11 artificial intelligence startups since 2012, more than any other company. This chart shows how many artificial intelligence startups selected tech companies have acquired since 2012.
Key to the development of KanKan is the creation of a dynamic enriched data platform and the implementation of artificial intelligence and machine learning based data analysis capabilities which enable us to analyze and packages data to offer a series of data solutions and products. Late in 2016, Alibaba Cloud marketplace - to promote KanKan's deep-learning based image classification solution for its business customers in the cloud computing environment. The combined offering provides Alibaba Cloud enterprise customers with a comprehensive platform offering real-time risk insights, enterprise development analysis, investor, partner and customer targeting and customized data packages by leveraging publicly available business data in China on the macro level. They enable us to reveal deep insight in consumer behavior regarding specific products for brand and create customized digital marketing solutions to provide highly effective and cost efficient data model to our respective customer basis.
As chat and voice quickly become the interfaces of choice, MindMeld's AI technology will enable Cisco to deliver unique experiences throughout its portfolio, starting with collaboration. This acquisition will power new conversational interfaces for Cisco's collaboration products, revolutionizing how users will interact with our technology, increasing ease of use, and enabling new cognitive capabilities. Integrating MindMeld into the Cisco Spark platform will transform how users interact in Cisco Spark Spaces, Cisco Spark Meetings, and Cisco Spark Care." This press release may be deemed to contain forward-looking statements, which are subject to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, including statements regarding the acquisition powering new conversational interfaces for Cisco's collaboration suite of products, revolutionizing how our users will interact with our technology, increasing ease of use, and enabling new cognitive capabilities, the integration of MindMeld into the Cisco Spark platform transforming how users interact in Cisco Spark Spaces, Cisco Spark Meetings, and Cisco Spark Care, the expected completion of the acquisition and the time frame in which this will occur, the expected benefits to Cisco and its customers from completing the acquisition, and plans regarding MindMeld personnel.
It's really no surprise to anyone that artificial intelligence and deep learning were two key highlights of the chip maker's analyst day. Several analysts boosted their price targets for NVIDIA Corporation (NVDA) stock this week following the company's strong beat and raise earnings results. JPMorgan analyst Harlan Sur boosted his price target for NVIDIA Corporation (NVDA) stock from $116 to $122. Needham analysts Rajvindra Gill and Robert Bertens raised their price target for NVIDIA Corporation (NVDA) stock from $120 to $130.
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Artificial Intelligence (AI) pioneer Nvidia has announced it will train 100,000 developers in "deep learning" to bolster health care research and improve treatment in diseases like cancer. In the past, cancer research institutes have looked into using Nvidia's latest advances in AI and deep learning to help pathologists with their overwhelming tasks. This is why Nvidia has revealed that it will train 100,000 developers this year through something it's calling the Deep Learning Institute (DLI); to provides developers, data scientists and researchers with practical training on the use of the latest AI tools and technology. The news comes after Nvidia released its first quarter earnings published on Tuesday, reporting quarterly revenue of $1.94 billion, up 48% year over year, and earning 79 cents per share, up 126% a year ago.