Communications

I discuss an article in Time about a artificial intelligence program called Obvious and how it creates art after viewing 15,000 portraits spanning from the 14th to 19th century. The Painter Behind These Artworks Is an AI Program. Do They Still Count as Art? http://time.com/5357221/obvious-artif... My Stuff Website - https://www.christopherpack.com

One woman set up a Tinder date with dozens of men to have them battle for her heart. The Tinder user who duped hundreds of men into showing up at Union Square for a phony date Sunday was actually a stunt for a "viral marketing agency" -- the same one that famously recorded hidden-camera footage of a woman being catcalled as she walked around New York City. "We will be releasing a video Thursday that explains the entire project and story," marketer Rob Bliss of Rob Bliss Creative told The Post. Bliss, whose company "specializes in making viral video campaigns," created the widely-shared "10 hours of walking in NYC as a woman" clip for an anti-harassment non-profit in 2014. In his latest production, a model and actress named Natasha Aponte invited unwitting men she met on Tinder to the public square on Sunday for what they thought was a hot date.

'"There is certainly the incentive for other social media platforms to develop their own AI translation functions too. Google is also moving forward on AI translation. Social media platforms like Instagram, Twitter, and others will have to get on board as well, if they want to remain competitive and continue to capture a large share of the reading and viewing market.Marketers will gravitate toward those channels that offer accurate AI translations, as they strive to reach global markets. The savings in time and money are just too attractive. And the opportunities to connect with a global audience for marketing purposes is just too critical.

The last decade was spent building products that were cloud native and mobile native, and this disrupted several industries and changed the way we live. Mobile made it possible for entrepreneurs to use camera and location to build products such as Instagram or Uber. As we look to the future, it is clear that something very exciting lies beyond cloud-native and mobile-native, and that is AI-native. This also means that entrepreneurs and product managers need to rethink both products and the way products are built to make them AI-native. AI-first products are closer to living things.

Facebook is teaming up with researchers at the NYU School of Medicine's Department of Radiology in order to make MRIs more accessible. Scientists with the Facebook Artificial Intelligence Research (FAIR) group and NYU note that getting an MRI scan can take up a fair amount of time, sometimes over an hour, and for people who have a hard time laying still for that period of time -- including children, those who are claustrophobic or individuals with conditions that make it painful to do so -- the length of a typical MRI scan poses a problem. So the researchers are turning to AI. The goal of this research partnership is to see if using AI can make MRI scans up to 10 times faster. But as the area that needs to be scanned gets larger, so does the scan time.

One woman set up a Tinder date with dozens of men to have them battle for her heart. Dozens of dudes showed up to Union Square for Tinder dates on Sunday -- only to learn they were all there to meet the same woman, and she wanted them to battle it out "Hunger Games"-style for her heart. One Twitter user recounting his version of events says he met a woman named Natasha through the hookup app and she invited him to meet her at the public space to watch her friend DJ -- but he arrived to a totally surreal scene. "I make my way to Union Square. Eat a hot dog and look over by this open lot by 17th Ave and there is a stage and a DJ and about 100 ppl and cameras and sh-t and I think well this is some random ass Manhattan sh-t," wrote @bvdhai.

Facebook's artificial intelligence research group and the NYU School of Medicine have collaborated on tools that could speed up magnetic resonance imaging scans. In conjunction with NYU School of Medicine's Department of Radiology, Facebook researchers set out to use AI to make MRI scans 10x faster. Machine learning and artificial intelligence are key technologies for the MRI market, which is aiming to scan and interpret MRIs faster. The research project, dubbed fastMRI, was able to produce reliable MRI scans with less data. If MRI machines can operate well without as much data as collected today, the scanning process can be sped up dramatically.

Which loss function should you use to train your machine learning model? How about mean squared error? If all of those seem confusing, this video will help. I'm going to explain the origin of the loss function concept from information theory, then explain how several popular loss functions for both regression and classification work. Using a combination of mathematical notation, animations, and code, we'll see how and when to use certain loss functions for certain types of problems.

Magnetic resonance imaging is an invaluable tool in the medical field, but it's also a slow and cumbersome process. It may take fifteen minutes or an hour to complete a scan, during which time the patient, perhaps a child or someone in serious pain, must sit perfectly still. NYU has been working on a way to accelerate this process, and is now collaborating with Facebook with the goal of cutting down MRI durations by 90 percent by applying AI-based imaging tools. It's important at the outset to distinguish this effort from other common uses of AI in the medical imaging field. An X-ray, or indeed an MRI scan, once completed, could be inspected by an object recognition system watching for abnormalities, saving time for doctors and maybe even catching something they might have missed.

And it is rapidly becoming the choice of marketers who want to gain a large audience, spread their brands and develop relationships that will result in trust and ultimately sales. But competition is fierce, and marketers who must craft content are finding it increasingly difficult to cover all of the social media platforms they want to. One of the solutions is to use AI-powered tools to save manpower and to improve efficiency. The AI tools available now allow marketers to generate more content faster; bots can analyze the performance of content; AI tools find and sort data on customer profiles by mining information of users; AI tools are also used to monitor all comments of users/consumers; and marketers even use AI to collect data on influencers and match the right influencers to their brands. There are more than two billion users of Facebook, and the majority are not English-speaking.