The research, "Deep neural networks are more accurate than humans at detecting sexual orientation from facial images," utilized deep neural networks to examine over 35,000 publicly-available dating site photos where sexual orientation was indicated. The preliminary research was published in the Journal of Personality and Social Psychology, authored by Michal Kosinski, a professor at Stanford University Graduate School of Business who is also a Computational Psychologist and Big Data Scientist. The heated debate around this research comes on the heels of another controversial study examining facial features--one in which an algorithm could determine one's identity even if their face was obscured by glasses or a scarf. While the Journal of Personality and Social Psychology has since notified Kosinski about ethical concerns they have with the study ("In the process of preparing the [manuscript] for publication, some concerns have been raised about the ethical status of your project.
Google is miles and miles ahead of Apple in AI. BTW, if you really want to see the difference try Google Photos. My wife will click her shutter button on her iPhone and without touching an additional button will walk into our family room and ask for crazy detail in photos and the TV will turn itself on, input sets and the photo in 4k and HDR appears on the largest screen in the house. The 4k Chromecast is also the only way to see iPhone photos in 4K with HDR on the largest screen in the house.
They wanted to be able to use the computer to distinguish US tanks from Russian tanks. Rather than programming it per se, they used lots of pictures of tanks and labeled the pictures as either showing a Russian tank or a US tank. In other words, the Russian tank photos tended to be very grainy and had been taken with a less than perfect photographic opportunity, while the US tanks were perfectly photographed. The algorithm simply caught onto the aspect that the difference between Russian tanks and US tanks was that one was grainy and the other was not.
"ML" platforms from vendors like Amazon, Google, IBM, Microsoft, and others can automate business processes on a previously impossible scale and free up employees for more creative, thought-intensive work. For example, the Cloud Machine Learning platform Google opened for business last year provides image-recognition services--not too different from what Google Photos does for your phone's pictures--that allow Airbus to correct satellite imagery to distinguish between snow and clouds. Box, for example, first signed up with Google to use its Google Cloud Machine Learning Engine to automate image recognition. "So when we looked at what problem we could solve first with machine learning, it made natural sense to start with providing an image recognition service through our partnership with Google Cloud."
USA Today contributor Jennifer Jolly shows us some absolutely genius're-uses' for an that old iPhone that you have lying around the house. A Bedside Smartphone Vase turns your old smartphone into a nightstand buddy. For music, your options are endless -- Spotify, Pandora, iHeartRadio, Apple Music -- and there's some great third party alarm apps like the Wake Alarm Clock with its big "slap to snooze" button. Jennifer Jolly is an Emmy Award-winning consumer tech contributor and host of USA TODAY's digital video show TECH NOW.
Homing in on targets An example that Pierce offers is how machine learning models can help hotels sift through customer data and group profiles for targeted and personalised messages. "Advances in machine learning have improved similar audience performance by double digits year on year. According to Juniper Research, machine learning algorithms being used to enable more efficient ad bids over rea time bids will generate some $42 billion in annual ad spend by 2021, up from $3.5 billion in 2016. However, Mehra thinks AI in creatives cannot replace humans in creating ads from start to finish.
Well, Kodak Moments -- the photo-printing division of Kodak Alaris -- has updated its app and introduced a new Facebook chatbot, both of which will pore over your photos on Facebook or those stored in your phone's camera roll and pick out images that qualify as a "Kodak Moment." Both the updated "Kodak Moments" app from the company and its Moments Assistant Facebook bot use algorithms and AI to figure out which of your photos might be worth resurfacing. "Once we display images that people may have forgotten about on premium products with an option to immediately physically share, we expect to make money from the prints and the photo-products that we sell," Kodak Moments' Chief Marketing Officer Rob Smith told Fast Company. Some have found that these services don't do a particularly good job at finding photos you might want to see again.
Rolls-Royce released this photo of the concept version of its autonomous naval ship. Rolls-Royce plans to make a self-piloting navy ship, powered by artificial intelligence, sophisticated sensors and advanced propulsion, for sale to military forces around the world. Amid increasing concern among some technologists about the prospect of self-aware artificial intelligence systems becoming a threat to humanity, the company said it was already conducting "significant analysis of potential cyber risks" to "ensure end-to-end security." Rolls-Royce released this photo of the concept version of its autonomous naval ship.
Bose has officially announced the QuietComfort 25 II or the QC35 II, its first wireless headphones with Google Assistant support. However, Bose has added a new way to control the noise cancellation software through its Bose Connect app. With the Bose Connect app, users will be able to set the noise cancellation to high, low or turn it off completely. The Bose QC35 II will be available in black and silver color options, and will be available in the U.S., Australia, Canada, Germany, France and the U.K., Google Assistant product manager Tomer Amarillio confirmed on his blog post.
The new Apple TV 4K device ($179-$199) brings Ultra HD 4K video with high dynamic range (HDR) to the iTunes store and other apps. The new Apple TV 4K device ($179-$199) brings Ultra HD 4K video with high dynamic range (HDR) to the iTunes store and other apps. The second-generation Amazon Fire TV device, released two years ago, handled 4K video, but that model is out of stock (you can find it on other sites such as Staples.com), Element and Westinghouse 4K TVs with built-in Amazon Fire TV began hitting the market in June. The Roku Ultra Net streaming device handles 4K video with HDR (high dynamic range).