Watson helps treat heart disease by looking at medical images

Watson can diagnose heart disease by looking at medical images  #himss17  #AI #IBMwatson

  • The imaging tech will first be used to diagnose patients with aortic stenosis, where the heart’s aortic valve narrows and constricts blood flow.
  • Watson will combine heart imagery with medical records to spot patients who might need follow-up treatments.
  • The approach will eventually expand to cover heart attacks, heart muscle disease, deep vein thrombosis and valve disorders.IBM won’t make the solution widely available to health care facilities until later in the year, but it’s hoping that the impact will be worth the wait.
  • In a chat with Mashable, the company’s Anne Le Grand says that Watson promises to improve both the quality and consistency of diagnoses.
  • Both patients and doctors won’t have to worry so much about issues going unaddressed until they become urgent.

IBM’s Watson technology has helped doctors before, but usually by poring through databases before offering its advice. Now, it’s ready to look at the patients t…
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WHEN COMPUTERS LEARN TO SWEAR: – Jigsaw – Medium

Introducing Perspective, using machine learning to improve discussions online.

  • We think technology can help.Today, Google and Jigsaw are launching Perspective, an early-stage technology that uses machine learning to help identify toxic comments.
  • Through an API, publishers — including members of the Digital News Initiative — and platforms can access this technology and use it for their sites.HOW IT WORKSPerspective reviews comments and scores them based on how similar they are to comments people said were “toxic” or likely to make someone leave a conversation.
  • Each time Perspective finds new examples of potentially toxic comments, or is provided with corrections from users, it can get better at scoring future comments.Publishers can choose what they want to do with the information they get from Perspective.
  • Publishers could even just allow readers to sort comments by toxicity themselves, making it easier to find great discussions hidden under toxic ones.We’ve been testing a version of this technology with The New York Times, where an entire team sifts through and moderates each comment before it’s posted — reviewing up to 11,000 comments every day.
  • We’ve worked together to train models that allows Times moderators to sort through comments more quickly, and we’ll work with them to enable comments on more articles every day.WHERE WE GO FROM HEREPerspective joins the TensorFlow library and the Cloud Machine Learning Platform as one of many new machine learning resources Google has made available to developers.

Imagine trying to have a conversation with your friends about the news you read this morning, but every time you said something, someone shouted in your face, called you a nasty name or accused you…
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When computers learn to swear: Using machine learning for better online conversations

Neat, Google trained a computer to understand whether a comment is toxic or not

  • Unfortunately, this happens all too frequently online as people try to discuss ideas on their favorite news sites but instead get bombarded with toxic comments.
  • According to the same report, online harassment has affected the lives of roughly 140 million people in the U.S., and many more elsewhere.
  • News organizations want to encourage engagement and discussion around their content, but find that sorting through millions of comments to find those that are trolling or abusive takes a lot of money, labor, and time.
  • As a result, many sites have shut down comments altogether.
  • Through an API, publishers—including members of the Digital News Initiative—and platforms can access this technology and use it for their sites.

Google and Jigsaw announce the launch of Perspective, an early-stage technology that uses machine learning to identify toxic comments.
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Banks turn to AI for improved customer service, competitive edge

Banks turn #AI for improved customer service, competitive edge  #custserv #fintech

  • com: Banks find big innovation payoff in hackathons ]
  • With the Wells Fargo fake accounts scandal fresh on your mind, it’s hard to feel sorry for banks these days.
  • Payment services like PayPal and investment services like Wealthfront are competing for the clients that banks used to take for granted.
  • ‘s a look at what three banks – Capital One, RBS and TD Bank – have learned from adopting AI.
  • Artificial intelligence may prove to be a key part of the solution for banks seeking to remain competitive.

How Capital One, RBS and TD Bank use artificial intelligence to boost customer service and revenue.
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Microsoft will ‘solve’ cancer within the next 10 years by treating it like a computer virus, company says

Microsoft will completely 'solve' cancer in the next 10 years

  • Overall, diet causes only slightly fewer cancer deaths than sun exposure in Australia, at 7,000 a year
  • 13 ways to help prevent cancer
  • Cutting back on drinks could reduce the risk of cancers caused by alcohol – such as liver cancer, bowel cancer, breast cancer and mouth cancer – that are leading to 3,208 deaths a year
  • Dying of a cancer caused by infection also comes in highly, linked to 3,421 cancer deaths a year.
  • It did prevent 52 cases of colorectal cancers

Microsoft says it is going to “solve” cancer in the next 10 years. The company is working at treating the disease like a computer virus, that invades and corrupts the body’s cells. Once it is able to do so, it will be able to monitor for them and even potentially reprogramme them to be healthy again, experts working for Microsoft have said. The company has built a “biological computation” unit that says its ultimate aim is to make cells into living computers. As such, they could be programmed and reprogrammed to treat any diseases, such as cancer.
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Demystifying Machine Learning Part 4: Image and Video Applications

Demystifying #MachineLearning Part 4: Image and Video Applications from @AnandSRao:  #AI

  • Deep learning requires large volumes of data in order for a system to learn the features and should not be attempted where data is sparse.
  • , deep learning is suitable only for certain classes of problems and cannot be seen as a panacea to solve all problems.
  • In the previous post in our Machine Learning series, we dived into the inner workings of deep learning .
  • Previous post: Sportifying STEM through Robotics to Stimulate Learning
  • Demystifying Machine Learning Part 4: Image and Video Applications

Read the full article, click here.


@PwCAdvisory: “Demystifying #MachineLearning Part 4: Image and Video Applications from @AnandSRao: #AI”


How are companies using deep learning to drive business goals? Improved image and video recognition, audio recognition, and language understanding.


Demystifying Machine Learning Part 4: Image and Video Applications

Elon Musk says humans need “neural lace” to compete with AI

Elon Musk says humans need

  • Elon Musk: Humans Need ‘Neural Lace’ to Compete With AI
  • “Something I think is going to be quite important-I don’t know of a company that’s working on it seriously-is a neural lace.”
  • Musk believes that a technology concept known as “neural lace” could act as a wireless brain-computer interface capable of augmenting natural intelligence.
  • Billionaire polymath Elon Musk has warned that humans risk being treated like house pets by artificial intelligence (AI) unless they implant technology into their brains.
  • Speaking at the Code Conference in California on Wednesday, Musk said a neural lace could work “well and symbiotically” with the rest of a human’s body.

Read the full article, click here.


@Newsweek: “Elon Musk says humans need “neural lace” to compete with AI”


Tesla founder believes humans need to add digital implants to their brains to compete with AI.


Elon Musk says humans need “neural lace” to compete with AI

Mathpix will solve handwritten math equations for you

Thanks to machine learning, computers can now solve hardwritten math problems! #CSforAll

  • Mathpix is an iOS app that can recognize and answer handwritten math equations in seconds.
  • The app works by sending the equation to a server, so you’ll need a connection to use it.
  • Mathpix will solve handwritten math equations for you
  • Open the app, point the camera toward your math problem (you’ll need legible handwriting, or it won’t work properly), and it’ll give you the correct answer along with step-by-step directions to reach the solution.
  • Mathpix even works with more complex equations that require graphs or charts.

Read the full article, click here.


@codeorg: “Thanks to machine learning, computers can now solve hardwritten math problems! #CSforAll”


Today is the first time in a decade that I actually wished I was back in school. Mathpix is an iOS app that can recognize and answer handwritten math equations in seconds. Open the app, point the camera toward your math problem (you’ll need legible handwriting, or it won’t work properly), and it’ll give you the correct answer along with step-by-step directions to reach the solution. Mathpix even works with more complex equations that require graphs or charts.


Mathpix will solve handwritten math equations for you