Throughout history, society has debated the morality of debt. In ancient times, debt--borrowing from another on the promise of repayment--was viewed in many cultures as sinful, with lending at interest especially repugnant. The concern that borrowers would become overindebted and enslaved to lenders meant that debts were routinely forgiven. These concerns continue to influence perceptions of lending and the regulation of credit markets today. Consider the prohibition against charging interest in Islamic finance and interest rate caps on payday lenders--companies that offer high-cost, short-term loans.
In the past year or two, many companies have shared their data discovery platforms (the latest being Facebook's Nemo). Based on this list, we now know of more than 10 implementations. I haven't been paying much attention to these developments in data discovery and wanted to catch up. By the end of this, we'll learn about the key features that solve 80% of data discoverability problems. We'll also see how the platforms compare on these features, and take a closer look at open source solutions available.
MediaPipe #AI from Google updated for fitness/yoga practitioners MediaPipe Pose is a ML solution for high-fidelity body pose tracking, inferring 33 3D landmarks on the whole body (or 25 upper-body landmarks) from RGB video frames. Highlights: Trained specifically for fitness/yoga activities Updated models enable custom pose classification Real-time performance on mobile and browser The pipeline is implemented as a MediaPipe graph that uses a pose landmark subgraph from the pose landmark module and renders using a dedicated pose renderer subgraph. Link to the original news and to the new updated models in the first comment Want to know more about #AI and our projects? Follow ARGO Vision or ping Alessandro Ferrari We See The Future No Magic.
In many papers like " Matching Networks for One Shot Learning " support set of images play a big role. However, I have trouble understanding what support set is? My understanding is- If I have trained my model on classes-"cat" and "dog". So during training my support set will have images of cats and dogs. But when at time of testing I wanted to see if image of " Horse" is there in image of support set or not. So can my support set have new image class(horse here). During testing time can I use this kind of 1 shot network to find my test image in collection of support image given while inference?
On a recent episode of Amicus, Dahlia Lithwick talked with Jameel Jaffer, executive director of the Knight First Amendment Institute at Columbia University, to unpack how the scope of the First Amendment continues to grow even as it fails in the face of so many of the free speech issues we face today. A portion of their conversation, which has been edited and condensed for clarity, has been transcribed below. Dahlia Lithwick: I think I've had a Post-it note pinned to my screen saying, "Do a First Amendment show" for three years. It sweeps in every news cycle. From the Facebook "Supreme Court," your own litigation around Trump's tweets, cancel culture, the speech defenses that came up at the impeachment trial--I think of the First Amendment as a framework that governs all of those things. As you suggested to me, when we were thinking about this show, the First Amendment is "everywhere but nowhere."
We recently featured the brilliant Nichesss, an AI tool that can be used to generate content and ideas. As is often the case with new tools a Facebook group has been set up and recently users have posted some interesting results using the tool…AI written short stories! I'll get on to how in a moment, let's just take a moment to check out some examples. As the cradle rocked, and the fire crackled, and the kitten snoozed, a robot appeared at the door of the cottage. It was battered, dented and dirty.
Deep Nostalgia, a new service from the genealogy site MyHeritage that animates old family photos, has gone viral on social media, in another example of how AI-based image manipulation is becoming increasingly mainstream. Launched in late February, the service uses an AI technique called deep learning to automatically animate faces in photos uploaded to the system. Because of its ease of use, and free trial, it soon took off on Twitter, where users uploading animated versions of old family photos, celebrity pictures, and even drawings and illustrations. "It makes me so happy to see him smile again!" Try our new #DeepNostalgia #PhotoAnimation feature for yourself and prepare to be AMAZED!!! https://t.co/p3h600G3MX
Last June, Antonio Radić, the host of a YouTube chess channel with more than a million subscribers, was live-streaming an interview with the grandmaster Hikaru Nakamura when the broadcast suddenly cut out. Instead of a lively discussion about chess openings, famous games, and iconic players, viewers were told Radić's video had been removed for "harmful and dangerous" content. Radić saw a message stating that the video, which included nothing more scandalous than a discussion of the King's Indian Defense, had violated YouTube's community guidelines. It remained offline for 24 hours. Exactly what happened still isn't clear.
When it comes to QAnon, there's one major player behind a majority of the investigations into who's responsible for some of the movement's far-right conspiracy theories. The fact-checking technology firm Logically has uncovered the failed screenwriter turned major QAnon promoter, the Citigroup executive secretly running a major QAnon hub, and the QAnon platforms connected to 8kun owner Jim Watkins -- among others. Founded in 2017 by CEO Lyric Jain, the company combines its AI tech with human fact-checking experts in order to uncover, track, archive, and debunk conspiracy theories ranging from QAnon to misinformation about COVID-19. The company already has a few public-facing products, such as mobile apps and web browser extensions to help users navigate online misinformation they may come across throughout their everyday internet use. Now, the company has announced it's opening up one of the secret weapons it's used to take on QAnon to third parties: Logically Intelligence, an AI-powered web platform that finds and analyzes online misinformation, as well as provides courses of action to take against it.
Paul Lipman has worked in cybersecurity for 10-plus years. The onset of Covid-19 necessitated a work-from-home environment on an unprecedented scale. Large and small companies raced to reframe and reevaluate cybersecurity measures within a massive BYOD environment and amid increased Covid-19-related phishing scams and cyberattacks like the recent ransomware attacks against the Clark County School District (CCSD) in Las Vegas and United Health Services. Regulations like GDPR and CCPA helped make the collection of consumer data and privacy a matter of law instead of just good practice. However, consumers remain skeptical of businesses that continue to put profit ahead of privacy after breaches, like Facebook, TikTok and YouTube.