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The Top 10 AI And Machine Learning Use Cases Everyone Should Know About

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Very basically, a machine learning algorithm is given a "teaching set" of data, then asked to use that data to answer a question. Many prestigious trading firms use proprietary systems to predict and execute trades at high speeds and high volume. Machine learning algorithms can process more information and spot more patterns than their human counterparts. Intelligent machine learning algorithms analyze your activity and compare it to the millions of other users to determine what you might like to buy or binge watch next.


'No thanks, Alexa.' Walmart teams with Google to offer voice shopping

USATODAY

Under a new partnership with Google, Walmart will allow shoppers to make purchases through the voice-activated device Google Home, the Google Express app or its website. Shoppers will be able choose from hundreds of thousands of Walmart products through the Google Express website, mobile app or voice-activated Google Home. Executives from Walmart say the retailer will have more items available than any other on Google Express and offer a personalized version of the service by linking their Walmart account to Google Express. In February, Google Express integrated Google Home, enabling shoppers to use the Assistant on the voice-activated device just as they might use "Alexa'' on Amazon's Echo speaker.


Flipboard on Flipboard

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The researchers analyzed how computers interpreted words from Google News and a 840 billion-word dataset used by computer scientists, and they found that machines linked "male" and "man" with STEM fields and "woman" and "female" with chores. Another study published last summer found that when software based on Google News was asked "Man is to computer programmer as woman is to X," it responded, "homemaker." The way artificial intelligence identifies words and images is based on the way people use them, so in order to promote a more egalitarian world, engineers would have to intervene in the creation of the software. Eric Horvitz, director of Microsoft Research, told Wired that Microsoft has a committee for this.


Artificial intelligence has opened up a whole new way to steal pictures online

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In June, Google told stock photography website Shutterstock that its researchers had found a weakness that could destroy the site's entire business. People can manually remove watermarks today, using image editing tools like Photoshop, but Google's approach is automatic. Following Google's warning, Shutterstock assigned five engineers to the problem, who figured out how to generate randomized watermarks, decided on a design, and began applying the changes to its catalog of more than 150 million images. If malicious AI developers take advantage of Google's research, that could start a cat-and-mouse game for even Shutterstock.


Google to launch 'Her' AI headphones and Chromebook Pixel

Daily Mail

It's unclear when these headphones could be released and if it will be at the same time as the other upcoming products In separate rumors, it's believed Google is also getting ready to announce smart headphones that will give users direct access to Google Assistant, similar to the futuristic technology in the film Her. Reports suggest Google are investing $880 million (£709 million) in LG's flexible organic light emitting diode (OLED) screens. Reports suggest Google is investing $880 million (£709 million) in LG's flexible organic light emitting diode (OLED) screens. Reports suggest Google is investing $880 million (£709 million) in LG's flexible organic light emitting diode (OLED) screens for their Pixel 2 handset (pictured is first-generation Pixel handsets) Google debuted the first smartphones in its Pixel line during a conference in October 2016, a Pixel and the 5.5-inch Pixel XL.


Machines Taught by Photos Learn a Sexist View of Women

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If a photo set generally associated women with cooking, software trained by studying those photos and their labels created an even stronger association. Last summer, researchers from Boston University and Microsoft showed that software trained on text collected from Google News reproduced gender biases well documented in humans. Both datasets contain many more images of men than women, and the objects and activities depicted with different genders show what the researchers call "significant" gender bias. The researchers devised a way to neutralize this amplification phenomenon--effectively forcing learning software to reflect its training data.


Machines Learn a Biased View of Women

#artificialintelligence

If a photo set generally associated women with cooking, software trained by studying those photos and their labels created an even stronger association. Last summer, researchers from Boston University and Microsoft showed that software trained on text collected from Google News reproduced gender biases well documented in humans. Both datasets contain many more images of men than women, and the objects and activities depicted with different genders show what the researchers call "significant" gender bias. The researchers devised a way to neutralize this amplification phenomenon--effectively forcing learning software to reflect its training data.


Samsung Rolls Out Bixby Voice Worldwide But Service Only In English, Korean

International Business Times

Samsung's Bixby voice assistant for the Galaxy S8 and galaxy S8 Plus is finally available worldwide. "The expansion of Bixby's voice capabilities is an initial step in the continued rollout of Bixby functionality. To start using Bixby voice, Galaxy S8 users need to press the dedicated Bixby button on the left-hand side of the handset. By comparison, Apple's Siri can understand more than 20 languages, including Mandarin, Cantonese, Japanese, French, German, Italian and Spanish.


AIs that learn from photos become sexist

Daily Mail

In the fourth example, the person pictured is labeled'woman' even though it is clearly a man because of sexist biases in the set that associate kitchens with women Researchers tested two of the largest collections of photos used to train image recognition AIs and discovered that sexism was rampant. However, they AIs associated men with stereotypically masculine activities like sports, hunting, and coaching, as well as objects sch as sporting equipment. 'For example, the activity cooking is over 33 percent more likely to involve females than males in a training set, and a trained model further amplifies the disparity to 68 percent at test time,' reads the paper, titled'Men Also Like Shopping,' which published as part of the 2017 Conference on Empirical Methods on Natural Language Processing. A user shared a photo depicting another scenario in which technology failed to detect darker skin, writing'reminds me of this failed beta test Princeton University conducted a word associate task with the algorithm GloVe, an unsupervised AI that uses online text to understand human language.


Machines Learn a Biased View of Women

WIRED

If a photo set generally associated women with cooking, software trained by studying those photos and their labels created an even stronger association. Last summer, researchers from Boston University and Microsoft showed that software trained on text collected from Google News reproduced gender biases well documented in humans. Both datasets contain many more images of men than women, and the objects and activities depicted with different genders show what the researchers call "significant" gender bias. The researchers devised a way to neutralize this amplification phenomenon--effectively forcing learning software to reflect its training data.