- General way to solve problems with Neural Networks
- After defining our neural network architecture, let’s initialize all the variables
- We need to define cost of our neural network
- We define a neural network with 3 layers;Â input, hidden and output.
- It’s easy to classify TensorFlow as a neural network library, but it’s not just that.
An introduction to implement neural networks using TensorFlow. It covers applications of neural networks, introduction to Tensorflow & a practice problem
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- How Machine Learning Can Help Fight Off Cyber Attacks
- Stuart McClure, the CEO of security startup Cylance, told Fortune’s Robert Hackett that “there is nothing new” in how hackers are breaching computer defenses.
- Although cyber attacks against businesses like the recent one against Yahoo are increasing, hackers are using the same techniques they always have.
- McClure has worked with the federal government on cyber security issues to help repair the damage from a major 2015 hack on the Office of Personnel Management .
- By amassing large amounts of data and crunching it with machine learning algorithms, organizations could better recognize how hackers are trying to exploit their computer systems, and better protect themselves.
Cylance CEO Stuart McClure explains how machine learning algorithms can help prevent major cyber attacks.
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- While the death rate from breast cancer has dropped steadily over the past two decades, it remains the second-biggest killer among cancers in U.S. women, according to the National Cancer Institute.
- Narain believes there are other subtypes of breast cancer that researchers have not identified and he hopes Berg can help identify those as well as drug targets for known subtypes.
- The partnership supports the White House’s Cancer Moonshot initiative to screen up to 250,000 patient samples in search of new biological indicators, or biomarkers, of the earliest signs of cancer.
- In an effort to find targeted treatments for particularly invasive types of breast cancer that don’t respond well to existing drugs, the Department of Defense announced this week that it is enlisting the biopharma company Berg Health to use AI for drug discovery.
- Under the partnership, Berg will have access to the DoD’s Clinical Breast Care Project, a bank of 13,600 samples of both healthy and diseased tissue from nearly 8,000 patients.
The Department of Defense is backing an effort to use machine learning to find clues about tumor biology.
Continue reading “Stopping breast cancer with help from artificial intelligence”
- The eighth-grade science test encompasses a somewhat broad range of tasks, and current A.I.s routinely fail it.
- Of all 80 respondents, 92.5 percent believed it would either never occur or was more than 25 years away.
- or for Alpha Go, to a general system that operates across a broad range of tasks.”
- In five years, Etzioni thinks that helper bots could become fairly sophisticated.
- Superhuman performance on narrow tasks, like AlphaGo , or speech recognition, does not translate to strong performance – generally not human-level performance – on a broad range of tasks,” Etzioni says.
Oren Etzioni explains why he and other experts think that the superintelligence is either impossible or a long, long ways off.
Continue reading “The Beginner’s Guide to the A.I. Apocalypse, 2016 Edition”
- The last two years have also seen the major cloud providers Amazon Web Services and Google Cloud Services release machine learning-specific services – both Machine Learning as a Service platforms and graphics processor unit machines optimized for machine learning work.
- The net effect of these new technologies is that a person interested in using machine learning need not understand the science of deep learning algorithms in order to experiment with cutting-edge techniques.
- How robotics and machine learning are changing business.
- Machine Learning Is No Longer Just for Experts
- And the new technologies affect who works in machine learning as well.
You don’t need a PhD, and that’s a big deal.
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- Forrester Report: As Paid Search Evolves, Marketers Must Too
- Your brand’s visual elements are configured in real-time into ads predicted to produce the highest sales.
- Our state-of-the-art machine algorithms continuously learn from new data, driving $22B in sales.
Criteo’s state-of-the-art technology transforms digital advertising into a personal experience that drives better results.
Continue reading “Real-Time Digital Advertising That Works”
- Posted by Karen Hurst in category: robotics/AI
- Google, Microsoft, Apple, and the CIA are working on new artificial intelligence technologies, that paint a very 1984 picture of the USA.
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Google, Microsoft, Apple, And the CIA Are Building Machines To Usher in ‘New Age’ Artificial Intelligence
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- So when a Media Company like Tronc comes out and talks about future of Machine Learning and AI for Journalism, we like to pass it along.
- Take a quick view of the video below to understand how Tronc views the future of journalism and how important the role of video to generate their revenue growth engine.
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- At Vilynx we have always known that we are one step ahead of the curve with our technology that makes Video Smarter through Machine Learning.
- Video made smarter with Machine Learning
Here at Vilynx we have always known that we are one step ahead of the curve with our technology that makes Video Smarter through Machine…
Continue reading “The Future of Journalism (a view from TRONC)”
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- What’s happening the week at the intersection of management and technology.
- The article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management.
- Schmitt comes at the questions not as a computer scientist but as a marketing expert.
In the future workplace, humans may supplement the skills of machines — and not the other way around.
Continue reading “Are You Ready for Robot Colleagues?”
- But perhaps for now we are getting ahead of ourselves perhaps we were ascribing and intelligence to our technology which at the moment does not exist.
- Technology and artificial intelligence can and should be seen as means to an end.
- Smart meters, data capturers, programmable devices; it seems as though everywhere we look computers are taking over our lives.
- More importantly, does what they buy provide a genuine solution or satisfy a genuine need or is it simply the best that they can find or afford at the time.
- And maybe our computers can churn out loyalty vouchers and incentives, but they are only responding in a set algorithm to known sets of data.
Smart meters, data capturers, programmable devices; it seems as though everywhere we look computers are taking over our lives.
Continue reading “There’s nothing artificial about intelligence”