Google's Unveils Machine Learning Project, in Partnership with BoF

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Arguably the most memorable scene in "The Devil Wears Prada" was Meryl Streep's searing monologue reprimanding the doe-eyed Anne Hathaway for having undermined fashion's profound influence on mass culture. In the movie, she's able to draw from her prolific knowledge of the industry to trace the origins of a certain cerulean blue hue, from the runways of Oscar de la Renta and St Laurent to the racks of department stores. Today, however, no one needs an impeccable memory to understand the life cycle of a colour du jour. In partnership with BoF, Google unveiled Thursday at the VOICES Conference an interactive online tool, free to use, to take a colour palette and pinpoint runway looks with the same colour schemes, drawn from nearly 4,000 fashion shows. Spearheaded by Google's artist-in-residence Cyril Diagne and announced in VOICES 2017, the project uses machine learning to map out these fashion palettes, and allows users to upload their own photos.


Beat The Heat with Machine Learning Cheat Sheet

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Supervised learning algorithms involves direct supervision of operation. We teach or train the machine using data, which means that the data is labelled with the right answer. We use an algorithm to analyse the training data and learn the function that maps inputs with their outputs. The function can then be used to predict output of unknown inputs by generalising from training data. Supervised learning is basically used for two types of problems.


Self-driving cars may not be a widespread reality for years, but the potential is 'great'

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There's huge potential in autonomous driving -- even if it's not likely to become a widespread reality for years to come, according to an executive of Chinese venture capital fund Fosun RZ Capital. Driverless cars could have a big impact on the way people live and get around when they finally take off, Grace Liu, the co-chief of Fosun RZ Capital told CNBC's East Tech West conference in the Nansha district of Guangzhou, China on Wednesday. "For autonomous driving to come true for all scenarios, all conditions, it will be difficult -- maybe 5 to 10 years," Liu told CNBC's Deirdre Bosa. But she said the industry had "big potential," with companies like Alphabet's self-driving car company Waymo already able to provide such services from point to point. "Autonomous driving is a big market. Once it comes true, it will affect many people's lives. It will affect our way of transportation. So I think it's still great potential," Liu said.


How Do We Create Artificial Intelligence That Is More Human?

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LIKU baby humanoid robots are demonstrated on the Torooc Inc. stand on the opening day of the MWC... [ ] Barcelona in Barcelona, Spain, on Monday, Feb. 25, 2019. At the wireless industry's biggest conference, over 100,000 people are set to see the latest innovations in smartphones, artificial intelligence devices and autonomous drones exhibited by more than 2,400 companies. On February 11, 2019, President Trump signed an executive order on Maintaining American Leadership in Artificial Intelligence and in February 2019, a survey by Protiviti called Artificial Intelligence and Machine Learning indicated that only 16% of business leaders surveyed are getting significant value from advanced artificial intelligence (AI) in their companies. The report also found that companies of all sizes and across industries are investing heavily in advanced AI with an average of $36M spent in the fiscal year 2018. Of those same companies surveyed, 10% plan to increase their budgets over the next two years.


Artificial intelligence can help diagnose and monitor patients with neurological disorders

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For someone with a neurological disorder that impairs their movement, such as stroke or Parkinson's disease, getting to the doctor's office for a checkup can be difficult. What if a patient could just take a video clip of their movements with a smartphone app that interprets the video and sends the results to their doctor? Hardeep Ryait, Ian Whishaw and Artur Luczak, together with their colleagues from the Canadian Centre for Behavioural Neuroscience at the University of Lethbridge, propose just that in their paper, Data-driven analyses of motor impairments in animal models of neurological disorders, published today in the prestigious journal, PLOS Biology. First, they asked people with special training to score the quality of reaches for food made by rats that had suffered a stroke that impaired their movements. They then provided this information to a state-of-the-art deep neural network, a type of machine learning that simulates the brain's neural network, so that it could learn to score the rats' reaching movements with human-expert accuracy.


AI could Offer Warnings about Serious Side Effects of Drug-Drug Interactions

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In a study, researchers designed an algorithm that analyzes data on drug-drug interactions listed in reports - compiled by the Food and Drug Administration and other organizations - for use in a possible alert system that would let patients know when a drug combination could prompt dangerous side effects. "Let's say I'm taking a popular over-the-counter pain reliever and then I'm put on blood pressure medicine, and these medications have an interaction with each other that, in turn, affects my liver," said Soundar Kumara, the Allen E. Pearce and Allen M. Pearce Professor of Industrial Engineering, Penn State. "Essentially, what we have done, in this study, is to collect all of the data on all the diseases related to the liver and see what drugs interact with each other to affect the liver." Drug-drug interaction problems are significant because patients are frequently prescribed multiple drugs and they take over-the-counter medicine on their own, added Kumara, who also is an affiliate of the Institute for CyberScience, which provides supercomputing resources for Penn State researchers. "This study is of very high importance," said Kumara.


Phillip & Holly Interview This Morning's First Robot Guest Sophia This Morning

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It's time for Holly and Phil to meet Sophia, one of the most intelligent robots in the world. Using artificial intelligence, Sophia can communicate with people and even use facial expressions to convey emotions - looking eerily human as she does so. Sophia, who's a UN Ambassador and even holds citizenship, prepares a drawing of Holly & Phil and joins us in the studio alongside her creator, Dr David Hanson. Broadcast on: 21/11/19 Like, follow and subscribe to This Morning! Join Holly Willoughby and Phillip Schofield, Ruth Langsford and Eamonn Holmes as we meet the people behind the stories that matter, chat to the hottest celebs and cook up a storm with your favourite chefs!


Splice teaches AI to sell Similar Sounds as users double – TechCrunch

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Splice is blowing up like a hit song. The audio sample marketplace has doubled revenue and user count in a year, and now reaches 3 million musicians. Many pay $7.99 for unlimited access, and 70% of subscribers visit weekly to hunt down the freshest and trendiest sounds to give their tracks that special something. But words can't always describe music. Searching by genre and subjective tags can take forever and leave artists frustrated when the sounds they find they don't resonate right.


Autonomous Cars Can Predict How Selfish Your Driving Is

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Self-driving cars could soon be able to classify you as a selfish or altruistic driver. While this might bruise some egos, researchers from MIT CSAIL claim that this will make autonomous vehicles (AVs) much safer when driving alongside humans. Predicting how humans might behave, and adjusting an algorithm's reasoning based on how selfish or selfless their behavior might be, could dramatically reduce accidents between AI-enabled vehicles and humans. Properly integrating AI technology with the complicated and nuanced world of human behavior is a huge barrier to overcome, especially in applications that can make a difference between life or death. Apart from making self-driving cars safe enough for our streets, teaching AI how to comprehend the less quantifiable parts of life could give AI the ability to help humans in roles it previously could not handle, and could advance AI applications in general.


Xero unveils new cloud technologies in AI and machine learning

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Xero has created a short-term 30-day cash flow forecasting tool to give small business owners and their accountants a better view on their financial health to help them make informed business decisions. Following Xero's acquisition of Hubdoc, it has further accelerated its machine learning capabilities. Today, Hubdoc is able to extract 70 percent of all financial documents such as receipts, invoices and bills using machine learning. It is also processing double the documents a day than this time last year. This significantly reduces the data capture time for customers, with documents being processed quicker.