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Where Major Corporations Like Salesforce And NVIDIA Are Investing In Artificial Intelligence

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Citi Ventures, Salesforce, Tencent Holdings, and NVIDIA GPU Ventures were frequently spotted in the deals we investigated, while VC firm Kleiner Perkins Caufield & Byers and private equity firm Warburg Pincus were common co-investors. The unicorn startup (valued at $1.2B) welcomed Roche Venture Fund -- the CVC arm of the healthcare company Roche -- into its ownership in its $175M Series C, which is the company's largest raise to date. At the heart of the platform is "Neuralytics" -- the company's big data, predictive analytics, and artificial intelligence engine -- which leverages sales interaction data from across the company's global network to make predictive and prescriptive recommendations (with the aim of shortening sales cycles and improving internal sales processes). In the startup's $100M Series C in Q3'15, IT firm Rackspace Hosting participated alongside CVC capitalG (formerly Google Capital) and follow-on investors Accel Partners and Warburg Pincus.


5 Reasons You Should Own at Least 1 Artificial Intelligence Stock -- The Motley Fool

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AI helped triple NVIDIA's data center revenue in the most recent quarter, with the company's CFO, Colette Kress, saying: "AI has quickly emerged as the single most powerful force in technology. If you have an Amazon (NASDAQ:AMZN) Echo speaker in your home, have ever used Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) Google Assistant, or talked to Apple's Siri, then you've interacted with artificial intelligence on some level already. Amazon's most lucrative business, its Amazon Web Services (AWS), now offers machine-learning services (part of the broader AI market) to improve natural-language processing, image analysis, and speech generation across apps and services that use AWS. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Amazon, Apple, Facebook, and Nvidia.


Why the AI hype cycle won't end anytime soon

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Increasingly affordable AI maintenance and the increased speed of calculations thanks to GPU are significant factors in the unbridled growth of AI. The astonishing results that were achieved on training a neural network on GPU cards made Nvidia a key player, with 70 percent of the market share that Intel failed to gain. Compared with the results from the analog algorithms, and thanks to the combination of machine learning and big data, previously "unsolvable" problems are now being solved. Machine learning algorithms can directly analyze thousands of previous cases of different types of diseases and make their own conclusions as to what constitutes a sick individual versus a healthy individual, and consequently help diagnose dangerous conditions including cancer.


The New Intel: How Nvidia Went From Powering Video Games To Revolutionizing Artificial Intelligence

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It was in this same dingy diner in April 1993 that three young electrical engineers--Malachowsky, Curtis Priem and Nvidia's current CEO, Jen-Hsun Huang--started a company devoted to making specialized chips that would generate faster and more realistic graphics for video games. "We've been investing in a lot of startups applying deep learning to many areas, and every single one effectively comes in building on Nvidia's platform," says Marc Andreessen of venture capital firm Andreessen Horowitz. Starting in 2006, Nvidia released a programming tool kit called CUDA that allowed coders to easily program each individual pixel on a screen. From his bedroom, Krizhevsky had plugged 1.2 million images into a deep learning neural network powered by two Nvidia GeForce gaming cards.


nvidia-artificial-intelligence-baidu-car

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NVIDIA Corp announced the debut of a smaller and more efficient artificial intelligence (AI) system for self-driving cars that would operate Baidu's navigation and autonomous vehicle technology. According to a Reuters report, Nvidia debuted its new Drive PX 2 at the GPU Technology Conference in Beijing. Chinese web giant Baidu will roll out the in-vehicle computer as its autonomous driving computer system. Nvidia's latest Drive PX 2 computer, which launched in January, uses 10 watts of power and is half the size of the original version.


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Today, when Intel announced a new generation of Xeon Phi server chips, the emphasis was on their ability to handle A.I. Of all those servers, 7 percent were handling deep learning, while 95 percent were doing machine learning, she said. Of servers doing machine learning or deep learning, "the vast, vast majority of workloads are machine learning. They offer "advanced acceleration capabilities" for workloads like Google's TensorFlow deep learning framework, Google has said.


daily-summary-of-artificial-intelligence-news-for-august-15-2016

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The People First Social Network Gab What is Gab? gab?ab/ informal verb talk, typically at length, about trivial matters. Gab is a people first social network-Users can post "Gabs," which have a 300 character limit-Users can follow other Gabbers and be followed back-Users can upvote or downvote Gabs-Top Gabs are ranked based on these votes-Gabs are also displayed in a chronological home feed, something that is no longer a defau... Rose Behar August 15, 2016 4:56pm In an expansive interview with the Washington Post, Apple CEO Tim Cook opened up about a number of personal and professional subjects, from the importance of his public coming out to why he believes analysts are wrong that Apple has nowhere left to grow. In response to media reports that a first information report has been registered against Amnesty International (AI) India over organizing an event on rights violations in Kashmir, a statement issued by the AI today said it is yet to receive the copy of the FIR.


Devouring Reddit threads might help artificial intelligence understand language better

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The new machine, called a DGX-1, is optimized for the form of machine learning known as deep learning, which involves feeding data to a large network of crudely simulated neurons and has resulted in great strides in artificial intelligence in recent years. Language remains a very tricky problem for artificial intelligence, but in recent years researchers have made progress in applying deep learning to the problem (see "AI's Language Problem"). "This will allow us to train models on larger data sets, which we have found leads to progress in AI." OpenAI hopes to use reinforcement learning to build robots capable of performing useful chores around the home, although this may prove a time-consuming challenge (see "This Is the Robot Maid Elon Musk Is Funding" and "The Robot You Want Most Is Far from Reality").


10 Stats About Artificial Intelligence That Will Blow You Away -- The Motley Fool

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Key players in machine learning include big cloud players like Amazon (NASDAQ:AMZN), Microsoft (NASDAQ:MSFT), and IBM. A recent study by AI language company Narrative Science found that 80% of executives believed that AI solutions boosted worker performance and created new jobs. Nuance developed the technology that powers Apple's (NASDAQ:AAPL) Siri, which preceded other voice assistants like Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) Google Now, Microsoft's Cortana, and Amazon's Alexa. The Motley Fool owns shares of and recommends Alphabet (A shares), Alphabet (C shares), Amazon.com, The Motley Fool owns shares of Microsoft and has the following options: long January 2018 90 calls on Apple and short January 2018 95 calls on Apple.


Google Details New TensorFlow Optimized ASIC

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Norm Jouppi, a distinguished hardware engineer at Google, detailed the company's public disclosure of the Tensor Processing Unit (TPU) last week after the CEO Sundar Pichai's earlier announcement at Google I/O. Several questions came up around how the TensorFlow-optimized chipset could compete with publicly available hardware like Nvidia's Tesla P100 and even PaaS providers like Nervana that provide machine learning services. Google's public disclosure of the TPU may have been related to Nvidia's release of the Tesla P100 in April. Jouppi noted that Google wants to lead the industry in machine learning and make the innovation available to its customers, but didn't disclose specific plans or offerings to do so at this time.