Health & Medicine


Fight Against Cancer with Artificial Intelligence and Big Data - OpenMind

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This company has developed a new anti-cancer drug (against pancreatic, breast, liver or brain cancer) called BPM 31510, which has been discovered by an algorithm. The major technology companies are using millions of people data to find treatments. In addition to the start-ups, all major technology companies have already begun to apply Big Data and artificial intelligence to the service of health. Big Data and artificial intelligence, combined with genetic analysis, allow researchers to search for and find patterns among patients with rare diseases, who may be separated by distance but carry the same mutation.


Singapore launches national Artificial Intelligence programme

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The initiative will be driven by a government-wide partnership comprising NRF, the Smart Nation and Digital Government Office (SNDGO), the Economic Development Board (EDB), the Infocomm Media Development Authority (IMDA), SGInnovate, and the Integrated Health Information Systems (IHiS). AI:SG will bring together research institutions, AI start-ups and companies developing AI products, to grow knowledge, create tools and develop talent to power Singapore's AI efforts. AI.SG will work with companies to use AI to raise productivity, create new products, and translate and commercialize solutions from labs to the market. Mr Tan Kok Yam, Deputy Secretary, Smart Nation and Digital Government Office, said: "Through AI.SG, we intend to work with AI research performers, start-ups and companies to audaciously tackle tough challenges in areas such as transportation and urban management.


This chart illustrates how AI is exploding at Google

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And last year, one tech company, Alphabet's Google, published papers in all of them. According to the tally Google provided to MIT Technology Review, it published 218 journal or conference papers on machine learning in 2016, nearly twice as many as it did two years ago. "The top people care about advancing the world, and that means writing papers the world can use, and writing code the world can use." So when Apple hired computer scientist Russ Salakhutdinov from Carnegie Mellon last year as its new head of AI, he was immediately allowed to break Apple's code of secrecy by blogging and giving talks.


This chart illustrates how AI is exploding at Google

#artificialintelligence

And last year, one tech company, Alphabet's Google, published papers in all of them. According to the tally Google provided to MIT Technology Review, it published 218 journal or conference papers on machine learning in 2016, nearly twice as many as it did two years ago. "The top people care about advancing the world, and that means writing papers the world can use, and write code the world can use." So when Apple hired computer scientist Russ Salakhutdinov from Carnegie Mellon last year as its new head of AI, he was immediately allowed to break Apple's code of secrecy by blogging and giving talks.


This chart illustrates how AI is exploding at Google

#artificialintelligence

And last year, one tech company, Alphabet's Google, published papers in all of them. According to the tally Google provided to MIT Technology Review, it published 218 journal or conference papers on machine learning in 2016, nearly twice as many as it did two years ago. "The top people care about advancing the world, and that means writing papers the world can use, and write code the world can use." So when Apple hired computer scientist Russ Salakhutdinov from Carnegie Mellon last year as its new head of AI, he was immediately allowed to break Apple's code of secrecy by blogging and giving talks.


Artificial Intelligence and the Future of Work

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How can Artificial Intelligence (AI) help companies operate in the 21st century? And, when Ardire talks about Machine Intelligence, he means intelligent computers "that process data for pattern discovery, discern context, make inferences, reasons, learns, and improves over time" without supervision by humans. According to the study, for 80 percent of enterprise executives artificial intelligence makes workers more productive and creates new jobs. "Powerful Artificial Intelligence can help make sense of the conversations people have on their networks."


Predicting Breast Cancer Using Apache Spark Machine Learning Logistic Regression

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Then we use another map transformation, which will apply the ParseObs function to transform each Array of Double in the RDD into an Array of Cancer Observation objects. The toDF() method transforms the RDD of Array[[Cancer Observation]] into a Dataframe with the Cancer Observation class schema. Below the data is split into a training data set and a test data set, 70% of the data is used to train the model, and 30% will be used for testing. In this blog post, we showed you how to get started using Apache Spark's machine learning Logistic Regression for classification.


Beginning Machine Learning with Keras and TensorFlow

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With traditional software engineering techniques we always define functions to solve problems. The idea is that the neural network finds the right weights for each neuron to eventually learn how to calculate the expected output. But even better, there's a library called Keras, also written in Python, which creates a higher level API and uses TensorFlow as it's backend. Let's teach a neural network to understand the XOR gate.


How artificial intelligence, machine learning can lessen breach risks

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In 1996 the Health Insurance Portability and Accountability Act (HIPAA) was enacted. The Accountability portion of the law requires that healthcare providers protect the privacy of patient health information and includes security measures that must be followed. Provider success has been mixed and has recently come under intense scrutiny due to the number and size of reportable breaches of health information.


Bridging the Mental Healthcare Gap With Artificial Intelligence

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Rather than viewing these advances as threats to job security, we can look at them as opportunities for AI to fill in critical gaps in existing service providers, such as mental healthcare professionals. But what if artificial intelligence could bring quality and affordable mental health support to anyone with an internet connection? This is X2AI's mission, a startup that's built Tess AI to provide quality mental healthcare to anyone, regardless of income or location. Thanks to these psychologists we are able to offer behavioral health services directly to large employers or employer health plans, as the psychologists can take care of parts of the treatment and ensure to stand-by whenever additional human intervention is required.