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What's inside Gewirtz's home office? 20 years of refinement and evolution


Welcome to my home office tour. This is actually just one of four areas in the house where I regularly work. The tour you'll see in the video above shows you where I do most of my serious writing, video editing, and research. I also use it as a talking head studio for interviews and Zoom meetings. Many of you have seen my workshop and fab lab spaces in previous videos. Those are where I do most of the DIY IT projects for ZDNet. I also work by our living room TV.

How Tinder's AI Micromanages Your Dating Life


There is no doubt that on the whole, the economic impacts from the lockdown and pandemic will be devastating. But while most leisure activities were throttled by the lockdown, others thrived -- just ask any of your friends that did Yoga With Adrienne (probably the same mates that brew their own kombucha). Tinder and Bumble usage alone spiked by over 20%, with Tinder registering 3 billion swipes on 28 March alone. However, the pandemic only accelerated a trend that was already in full force: finding love via apps. "Met online" is now the most common way that people report finding their significant other, streets ahead of boring old classics like "met in church" or "met in the neighbourhood". While there are a range of massively popular dating apps, including Bumble and Grindr, Tinder continues to be the most popular platform by a significant margin.

What is the simplest entry into NN image classification systems, as a C-callable library?


The data set would be astronomy sub-images that are either bad (edge of chip artifacts, bright star saturation and spikes, internal reflections, chip flaws) or good (populated with fuzzy-dot stars and galaxies and asteroids and stuff). Let's say the typical image is 512x512 but it varies a lot. Because the bad features tend to be big, I'd probably like to bin the images down to say 64x64 for compactness and speed. It has to run fast on tens of thousands of images. I'm sort of tempted by the solution of adopting PlaidML as my back end (if I understand what its role is), because it can compile the problem for many architectures, like CUDA, CPU-only, OpenCL.

We are all already addicted to AI


I have been on a 30-day challenge to improve my knowledge of Artificial Intelligence (AI), to understand how it works and how it impacts our lives, and this section talks about how not only have we already integrated it in our everyday lives, but in some cases already love it and depend on it. In this fifth section, we tackle "AI in Application." Exploring where AI is prevalent and the data that is being collected already is not surprising but it is humbling how much it has already penetrated our lives and how much we depend on it. Recently, a friend of mine named her baby Sirius. For those that love the Harry Potter books, the immediate connection is to Sirius Black, so of course being a Harry Potter fan I instantly loved it.

Pranab Ghosh posted on LinkedIn


We see news about machine learning everywhere. Indeed, there is lot of potential in machine learning. According to Gartner's predictions, "Through 2020, 80% of AI projects will remain alchemy, run by wizards whose talents will not scale in the organization" and Transform 2019 of VentureBeat predicted that 87% of AI projects will never make it into production. Why do so many projects fail?

How to use Triller, in case TikTok actually gets banned


TikTok may be the app-du-jour, but its presence in the United States may not last. Enter Triller, the video sharing platform emerging as the alternative to TikTok amid uncertainty over the app's future. Popular stars like Charli D'Amelio, the most followed person on TikTok, are starting their own accounts on Triller. D'Amelio is still posting on TikTok as usual, however. Triller, which began as a niche music discovery app because of its "AI-powered" editing features, has been around since 2015.

The clearest, fastest way manufacturers can capitalize on data analytics


Of all the new capabilities that manufacturers can gain by adopting Industrial Internet of Things (IIoT) technology, data analytics can be among the most powerful--and the most challenging. Manufacturers make things and, as such, they're accustomed to working with materials and machines, not bits and bytes. Though it's true that many have experience working with data from ERP systems and MES, few have the internal resources, skills and knowledge to capitalize on the high-volume data streams of IIoT analytics. Compounding the challenge is a talent shortage. Pure-play data companies such as Google, Amazon and Facebook are more likely to appeal to the best and brightest.

Facebook, Twitter and YouTube have your data. Why not China-owned ByteDance's TikTok?

USATODAY - Tech Top Stories

Facebook, Twitter and YouTube have your data. The Trump administration said Friday that it would bar two popular Chinese-owned mobile apps WeChat and TikTok from U.S. app stores as of midnight Sunday, escalating the U.S. standoff with China. "Today's actions prove once again that President Trump will do everything in his power to guarantee our national security and protect Americans from the threats of the Chinese Communist Party," Commerce Secretary Wilbur Ross said in a statement. The Trump administration contends the data collected from American users by TikTok and WeChat could be accessed by the Chinese government. "The Trump administration is looking to make sure U.S. TikTok consumer data stays out of Beijing," said Wedbush Securities analyst Daniel Ives.

Tinder + AI: A Perfect Matchmaking?


Tinder is a mobile dating app that can help you find singles in the local area. "Swipe right if you like her, Swipe left if you don't" is a linchpin to the company's success, and the format has been duplicated by numerous contemporaries. Tinder was first launched as a location-based dating app in 2012 within incubator Hatch Labs and join a venture between IAC and Xtreme Labs and now it's one of the most popular dating apps in the US with about 1.7 Billion swipes per day. Tinder has employed the freemium business model to earn revenue. It went from a "location-based" dating app to a global dating app that is present in 190 countries in less than 8 years.

Yousefi to develop artificial intelligence to improve glaucoma research, diagnosis


IMAGE: Siamak Yousefi, Ph.D., an assistant professor in the Department of Ophthalmology and the Department of Genetics, Genomics, and Informatics at the University of Tennessee Health Science Center, has received two... view more He was awarded $180,000 from the Bright Focus Foundation to study the impact of glaucoma on certain retinal ganglion cells, as a path to uncover more information on glaucoma progression. The foundation is a nonprofit organization supporting research on brain and eye diseases. "Glaucoma affects over 90 million people worldwide and its incidence is predicted to double over the next two decades," Dr. Yousefi said. "The costs of treatment of glaucoma increase sharply for later stages of the disease. Therefore, earlier detection of glaucoma and its progression could result not only in retaining vision, but also in significant financial savings. Effective monitoring and determining appropriate treatment strategies require reliable approaches that quantify disease-induced changes more accurately."