Generating Beatles' Lyrics with Machine Learning - Towards Data Science

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The Beatles were a huge cultural phenomenon. Their timeless music still resonates with people today, both young and old. In my humble opinion, they are the greatest band to have ever lived¹. Their songs are full of interesting lyrics and deep ideas. When you've seen beyond yourself Then you may find peace of mind is waiting there² However, the thing that made the Beatles great was their versatility.


Can Machine Learning Poisoning Affect AI Models?

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As machine learning applications increase, the threats of data poisoning also rise, making it imperative for organizations to secure their machine learning data against fraudulent manipulation. FREMONT, CA: Machine learning (ML) and artificial intelligence (AI) models are algorithms designed to make decisions and perform actions based on the data they ingest. However, like all data-based systems, they are not invincible to attacks. One of the most common threats to ML is ML poisoning, which involves feeding fraudulent or misleading data into the ML algorithms. Business data is based on data, and any errors in the data can lead to bad decisions.


AI Predicts Long-term Death Risk From Single Chest X-ray

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Clinicians who order common diagnostic chest x-rays for patients have been sitting on a goldmine of unused prognostic information. The radiographs, used since the 19th century to detect specific abnormalities, could soon be repurposed to identify long-term mortality risk -- with a little help from machine learning. Using data from two large randomized trials, researchers have developed a convolutional neural network, called CXR-risk, that stratifies participants by all-cause mortality risk. They trained the artificial intelligence (AI) system with 85,000 x-rays and follow-up data from more than 40,000 individuals. Extracting information from single chest radiographs, the system found a graded association between risk score and mortality.


Can Technology Help Protect Womens' Reproductive Rights? - DZone IoT

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I was alarmed to read this week that the Alabama Senate has passed a bill to outlaw abortion under almost all circumstances, including cases of rape and/or incest. Under the bill, doctors face 10 years in prison for attempting to terminate a pregnancy and 99 years for carrying out the procedure. Fortunately, for decades, women's reproductive rights groups, health providers, technologists, and hackers have been working together internationally to support a women's right to choose. They've created a legacy of work that may be able to help. The worst major city for abortion access is Rapid City, South Dakota, where women must travel 318 miles to get an abortion.


Submittable Raises $10 Million Series B to Transform the Application Submission and Review Process

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Submittable, the leading application review and opportunity marketplace, announced a $10 million Series B funding led by Next Coast Ventures with continued participation by returning investors True Ventures, Next Frontier Capital and Flywheel Ventures. The financing will further accelerate the company's ongoing investment in artificial intelligence (AI)-powered matching, review technology and mobile apps connecting more opportunity-seekers with organizations of all sizes. "We haven't just built one of the cleanest and easy-to-use UI's out there, we've perfected the customizable review processes for hundreds of use-cases and are now building out a suite of AI-matching technologies that will help any organization find the right opportunity for them." Since launching in 2010 and graduating from Y Combinator's accelerator program, Submittable has provided over 10,000 organizations a platform for accepting, reviewing and ranking more than 20 million digital submissions and applications from over three million users. The "CRM for submissions" was launched by three creatives -- a writer, a filmmaker and a musician -- who wanted not just to simplify and improve the process of submitting their own work, but also wanted to create a marketplace to match the submissions with real opportunities across many industries including publishing, academia, philanthropy, contests and corporate giving.


Four Reasons Most Service Robots Fail - Techonomy

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The Tally robot, from Simbe Robotics, helps out in stores so people can be freed from the monotonous task of checking shelves for inventory. Wouldn't it be nice if robots could clean our office, greet clients or put away the groceries at home? But even though we want and often embrace advances that make our lives simpler, the vision of robot as dutiful helper hasn't come to fruition. Robotics has made a big difference in manufacturing, but has failed to make it into our homes and businesses in a meaningful way. It turns out the challenges are plentiful.


What does VDL mean for EU tech policy?

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Ursula von der Leyen was elected on Tuesday as the new President of the European Commission by 383 Members of the new European Parliament. She is the first woman to hold the office. A centre-right politician and close ally of German Chancellor Angela Merkel, she was until this week Germany's defense minister. So what does her election mean for EU tech policy over the next five years? We did get a glimpse of her priorities in her Tuesday morning speech addressing the plenary of the European Parliament ahead of her confirmation vote.


AI Portraits Ars The experience of being portrayed by the world's greatest artists.

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In the early 1500s Lorenzo Lotto and Giovan Battista Moroni began the psychological analysis through portraiture. From this moment, the focus on the sitter's identity becomes the leitmotif in the history of portrait. Portraits interpret the external beauty, social status, and then go beyond our body and face. A portrait becomes a psychological analysis and a deep reflection on our existence. AI Portraits Ars uses Artificial Intelligence to reproduce artistic human portraits, with different styles and levels of abstraction.


Using artificial intelligence to better predict severe weather

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A new algorithm could enable quicker and more accurate detection of severe weather. When forecasting weather, meteorologists use a number of models and data sources to track shapes and movements of clouds that could indicate severe storms. However, with increasingly expanding weather data sets and looming deadlines, it is nearly impossible for them to monitor all storm formations -- especially smaller-scale ones -- in real time. Now, there is a computer model that can help recognize severe storms more quickly and accurately, thanks to a team of researchers partially funded by the National Science Foundation. The researchers from Penn State, AccuWeather, Inc. and the University of Almería in Spain developed a framework based on machine learning linear classifiers -- a kind of artificial intelligence -- that detects from satellite images rotational movements in clouds that might have otherwise gone unnoticed.


Google Focuses On Niche Local Events To Gain More Data

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Google sees local services as a path to peer-to-peer conversations to gain more data about people, places and things. Some think the company has added a social layer to local services like Google My Business and Google Maps. Blumenthal, the proprietor at Understanding Google My Business & Local Search, a blog that focuses on local and businesses, said it's all about the data. Focusing on local just gives them much more. To back his hypothesis, he points to some recent changes such as Google adding the ability for people to follow businesses on Maps, and giving businesses the ability to respond to followers with special deal.