Formulation of Adversarial ML

Formulation of Adversarial #MachineLearning:  #abdsc #BigData #DataScience by @startupml

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  • Machine learning is being used in a variety of domains to restrict or prevent undesirable behaviors by hackers, fraudsters and even ordinary users.
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  • Algorithms deployed for fraud prevention, network security, anti-money laundering belong to the broad area of adversarial machine learning where instead of ML trying to learn the patterns of benevolent nature, it is confronted with a malicious adversary that is looking for opportunities to exploit loopholes and weaknesses for personal gain.

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@KirkDBorne: “Formulation of Adversarial #MachineLearning: #abdsc #BigData #DataScience by @startupml”


Machine learning is being used in a variety of domains to restrict or prevent undesirable behaviors by hackers, fraudsters and even ordinary users.  Algorithms…


Formulation of Adversarial ML

It’s man versus robot in the battle of the doctors: World’s first ‘artificial intelligence’ medic set to be pitted against the real thing in landmark experiment for medicine 

First #AI medic will be pitted against doctor 

 #fintech @MailOnline

  • Babylon Health will test app called Check against a doctor and a nurse
  • British start-up firm Babylon Health will test its programme, called Check, against a doctor and nurse in a competition to see which can deal most quickly and accurately with a range of common health problems.
  • I’m not in the business of putting a doctor out of business.
  • The smartphone app has been designed to act like a triage nurse, asking a series of questions to advise users whether their problem is nothing to worry about, something they should consult their GP about, or a matter that requires calling 999 (pictured the Babylon Health logo)
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@SpirosMargaris: “First #AI medic will be pitted against doctor

#fintech @MailOnline”


British start-up firm Babylon Health will test its smartphone app, called Check, against a doctor and nurse in a competition to see who can deal most accurately with a range of health problems.


It’s man versus robot in the battle of the doctors: World’s first ‘artificial intelligence’ medic set to be pitted against the real thing in landmark experiment for medicine 

Bill Gates talks about why artificial intelligence is nearly here and how to solve two big problems it creates

Bill Gates talks about why artificial intelligence  via @Recode

  • Melinda Gates noted that you can tell a lot about where her husband’s interest is by the books he has been reading. “
  • Bill Gates is excited about the rise of artificial intelligence but acknowledged the arrival of machines with greater-than-human capabilities will create some unique challenges.
  • Bill Gates talks about why artificial intelligence is nearly and how to solve two big problems it creates
  • Gates has talked about that in the past, saying that he plans to spend time with people who have ideas on how to address that issue, noting work being done at Stanford, among other places.
  • “The dream is finally arriving,” Gates said, speaking with wife Melinda Gates on Wednesday at the Code Conference .

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@Wecapser: “Bill Gates talks about why artificial intelligence via @Recode”


The real challenge is ensuring humans stay in control.


Bill Gates talks about why artificial intelligence is nearly here and how to solve two big problems it creates

Deep Learning: Definition, Resources, Comparison with Machine Learning

#DeepLearning: Definition, Resources, Comparison with #MachineLearning  | by @DataScienceCtrl

  • Many deep learning practitioners call themselves data scientist, computer scientist, statistician, or sometimes engineer.
  • Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence.
  • Deep learning simplified (video)
  • In my opinion, deep learning also tries to automate some data science processes.
  • An Introduction to Deep Learning and it’s role for IoT/ future cities

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@dataiku: “#DeepLearning: Definition, Resources, Comparison with #MachineLearning | by @DataScienceCtrl”


Deep learning is sometimes referred to as the intersection between machine learning and artificial intelligence. It is about designing algorithms that can make…


Deep Learning: Definition, Resources, Comparison with Machine Learning

Tech CEOs Declare This the Era of Artificial Intelligence

Tech CEOs Declare This the Era of Artificial Intelligence #AI #BigData @FortuneMagazine

  • IBM CEO Ginni Rometty said the company has been working on artificial technology, which she calls a cognitive system, since 2005 when it started developing its Watson supercomputer.
  • Tech CEOs Declare This the Era of Artificial Intelligence
  • Amazon CEO Jeff Bezos predicted a profound impact on society over the next 20 years.
  • Sundar Pichai, chief executive of Alphabet’s Google, said he sees a “huge opportunity” in AI.
  • Big tech companies including Amazon have an edge at present because they have access to large amounts of data but hundreds of AI startups will hatch in the next few years, he said.

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@cybersecboardrm: “Tech CEOs Declare This the Era of Artificial Intelligence #AI #BigData @FortuneMagazine”


AI is expected to balloon into a $70 billion industry by 2020.


Tech CEOs Declare This the Era of Artificial Intelligence

Machine learning helps scientists discover new materials

#MachineLearning #DataScience helps scientists discover new materials

  • Researchers published their work in the journal Nature Communications last month .
  • UPI.com is your trusted source for world news, top news, science news, health news and current events.
  • LOS ALAMOS, N.M., May 9 (UPI) — Traditionally, materials scientists have used a combination of trial-and-error and intuition to discover and perfect new materials with advantageous properties.
  • To speed up the process, researchers at Los Alamos National Laboratory attempted to marry machine learning with targeted experiments.
  • “What we’ve done is show that, starting with a relatively small data set of well-controlled experiments, it is possible to iteratively guide subsequent experiments toward finding the material with the desired target,” Turab Lookman, a physicist and materials scientist at Los Alamos, said in a news release .

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@MikeTamir: “#MachineLearning #DataScience helps scientists discover new materials”


Researchers at Los Alamos National Laboratory attempted to marry machine learning with targeted experiments to discover new materials more efficiently.


Machine learning helps scientists discover new materials