Four Trends in Artificial Intelligence That Affect Enterprises

4 Trends in Artificial Intelligence That Affect Enterprises  #AI

  • AI enables the prediction, planning and automation of a variety of tasks, and for enterprises, there are four trends in artificial intelligence that stand out: large-scale machine learning, deep learning, human-enhanced AI and autonomous systems.
  • Here’s a bit more on the four trends in artificial intelligence that affect enterprises.
  • [Read more] – – Due to recent improvements in computer graphic cards and releases of popular frameworks, deep learning has some excellent results in specific narrow use cases with actionable intelligence.
  • [Read more] – – Another common trend is having humans evaluate results from AI.
  • [Read more] – – In light of the evolving AI trends in the coming year, it’s important to keep in mind that “AI is eating the world and will eventually eat every vertical,” as Sanjit Dang, of Intel Capital, recently said at the Global AI Conference.

Learn more about four recent trends in artificial intelligence that are affecting businesses today.
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IBM and MIT partner on artificial intelligence research

IBM and MIT partner on artificial intelligence research

  • BOSTON (AP) — IBM is planning to spend $240 million over the next decade to create an artificial intelligence research lab at MIT.
  • Massachusetts Institute of Technology on Thursday announced the formation of the new MIT-IBM Watson AI Lab.
  • It will support joint research by IBM and MIT scientists.
  • Its mission will include advancing the hardware, software and algorithms used for artificial intelligence.

BOSTON (AP) — IBM is planning to spend $240 million over the next decade to create an artificial intelligence research lab at MIT.
Massachusetts Institute of Technology on Thursday announced the formation of the new MIT-IBM Watson AI Lab. It will support joint research by IBM and MIT scientists.
Its mission will include advancing the hardware, software and algorithms used for artificial intelligence. It also will tackle some of the economic and ethical implications of intelligent machines and look at its commercial application for industries ranging from health care to cybersecurity.
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Meet the 13-year-old prodigy taking IBM and artificial intelligence by storm

Meet the 13-year-old prodigy taking @IBM and artificial intelligence by storm  @BreakfastNews

  • Tanmay Bakshi fell in love with computers at five, released his first iPhone app at nine, and now at just 13 years old is working with IBM on artificial intelligence.
  • He is currently in Australia for the IBM Watson Summit, which brings together experts in artificial intelligence to discuss how the technology can help people and businesses in the future.
  • “If you think about it, really anything would fascinate a five-year-old, especially a computer,” Tanmay told News Breakfast.
  • Tanmay names Apple co-founder Steve Jobs as an inspiration — “especially his passion and dedication towards his work” — and is now most excited by how artificial intelligence can be used in health care.
  • Tanmay has toured the world to spread the word on computer programming, including giving public lectures and joining forum discussions, which has meant he has left traditional school in lieu of home schooling.

Tanmay Bakshi isn’t your typical 13-year-old. Rather than playing video games he’s blazing new trails in AI and has become one of the youngest app developers in the world.
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Google’s plan to best Amazon rests on one particular piece of software

#Google's plan to best #Amazon rests on one piece of software  #aws #cloud #AI

  • Two years later the tool, which is used in building machine-­learning software, underpins many future ambitions of Google and its parent company, Alphabet.
  • But just months after TensorFlow was released to Google’s army of coders, the company also began offering it to the world for free, as an open source tactic.
  • S. Somasegar, a managing director at venture fund Madrona who was previously head of Microsoft’s developer division, says TensorFlow’s prominence poses a genuine challenge to Google’s cloud rivals.
  • The company has created specialized processors to make TensorFlow faster and reduce the power it consumes inside Google’s data centers.
  • Since Google released TensorFlow, its competitors in cloud computing, Microsoft and Amazon, have released, or started supporting, their own free software tools to help coders build machine-learning systems.

Google has pinned its cloud computing hopes on a bit of software that helps programmers build artificial intelligence apps called TensorFlow.
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This machine-learning software has transformed Google, and the rest of the world may be next

Google Stakes Its Future on a Piece of Software #ML #AI #tensorflow #Google

  • Early in 2015, artificial-intelligence researchers at Google created an obscure piece of software called ­TensorFlow.
  • But just months after TensorFlow was released to Google’s army of coders, the company also began offering it to the world for free.
  • S. Somasegar, a managing director at venture fund Madrona who was previously head of Microsoft’s developer division, says TensorFlow’s prominence poses a genuine challenge to Google’s cloud rivals.
  • The company has created specialized processors to make TensorFlow faster and reduce the power it consumes inside Google’s data centers.
  • Since Google released TensorFlow, its competitors in cloud computing, Microsoft and Amazon, have released or started supporting their own free software tools to help coders build machine-learning systems.

Alphabet thinks it can wrest the cloud computing market away from Amazon by helping companies make use of machine learning with a tool called TensorFlow.
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Guide to Advanced Safety Systems for Cars

The Positive Impact of Advanced Safety Systems for Cars  #m2m #MachineLearning

  • Why Do We Have Campaigns?
  • Join our campaigns and together, we’ll hold corporations and lawmakers accountable.

Consumer Reports survey on Advanced Safety Systems for Cars looks at driver experiences with safety features on 66,000 vehicles and rates the systems.
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Nvidia CEO: Software Is Eating the World, but AI Is Going to Eat Software

Nvidia CEO: “Software is eating the world, but #AI is going to eat software” on @techreview

  • At the company’s annual developer conference in San Jose, California, this week, the company’s CEO Jensen Huang spoke to MIT Technology Review about how the machine-learning revolution is just starting.Nvidia has benefitted from a rapid explosion of investment in machine learning from tech companies.
  • Software is eating the world, but AI is going to eat software.What industry will be transformed by machine learning next?
  • Arterys recently got FDA approval for their cardiac imaging [which annotates scans of the heart], and I know of many others that are in the pipeline.Using machine learning in cars will also create new challenges for regulators.
  • We probably have to break down some of these problems into smaller chunks.Your chips are already driving some cars: all Tesla vehicles now use Nvidia’s Drive PX 2 computer to power the Autopilot feature that automates highway driving.
  • I’m not exactly sure, but we’ll find out.Intel, Google, and several other companies are now working on chips designed to accelerate machine learning (see “Battle to Provide Chips for the AI Boom Heats Up”).

Jensen Huang predicts that health care and autos are going to be transformed by artificial intelligence.
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