You could open up the TikTok app and snap a picture of it to find similar items available for purchase on TikTok Shop.
The ability to use image search for shopping is something that Google has offered for years with Google Lens, its visual search tool.
TikTok recently revealed that TikTok Shop now has more than 15 million sellers worldwide, including over 500,000 in the U.S.
It spent more than $400 million on platform safety and created a team of more than 7,500 people to help keep TikTok Shop safe.
TikTok has been betting big on e-commerce, as it sees TikTok Shop as its next big potential revenue source.
Apple announced a deal with OpenAI to bring ChatGPT, OpenAI’s AI-powered chatbot experience, to a range of its devices.
Here’s a roundup of a few of the more noteworthy Apple AI announcements from WWDC 2024.
New SiriSiri got a makeover courtesy of Apple’s overarching generative AI push this year, called Apple Intelligence.
To take advantage of the new Siri, you’ll need an Apple device that supports Apple Intelligence — specifically the iPhone 15 Pro and devices with M1 or newer chips.
Apple Intelligence will have an understanding of who you’re chatting with, Apple says — so if you want to personalize the chat with a custom AI image, you can do so on the fly.
An “Apple Intelligence” (AI)-powered feature coming in iOS 18 will allow iPhone users to create AI images of people they’re messaging with — a feature that works something like an AI-upgraded Bitmoji.
Image Credits: AppleFor example, Apple showed off making an AI Bitmoji of a friend celebrating their birthday with an image that included cake, balloons and flowers.
The Genmoji can be used as a sticker for reacting to messages with a Tapback or inline with your messages, Apple said.
Apple Intelligence will also suggest concepts related to your messages conversation, but all this takes place on the device, according to Apple.
Also at WWDC 2024, Apple announced updates to Siri and introduced macOS Sequoia.
eBay’s newest AI feature allows sellers to replace image backgrounds with AI-generated backdrops.
eBay’s background enhancement tool could benefit sellers who lack the equipment or skills to take professional-looking or high-quality photos.
It may also improve on eBay’s previous offering, which used computer vision technology to give listing photos a simple, white background.
The new AI feature is powered by the open-source model Stable Diffusion.
The latest announcement comes a year after eBay introduced an AI feature that generates titles and descriptions for a product listing.
Chasing after other popular services in the market such as those from OpenAI, Mark Zuckerberg claimed today that Meta AI is possibly the “most intelligent AI assistant that you can freely use.”Meta first rolled out Meta AI in the U.S. last year.
Meta said that it plans to keep Meta AI in test mode in India.
New featuresUsers could already ask Meta AI for writing or recipe suggestions.
Plus, they can ask Meta AI to animate an image or turn an image into a GIF.
All AI things everywhere at onceMeta is adopting the approach of having Meta AI available in as many places as it can.
The Oversight Board, Meta’s semi-independent policy council, it turning its attention to how the company’s social platforms are handling explicit, AI-generated images.
Tuesday, it announced investigations into two separate cases over how Instagram in India and Facebook in the U.S. handled AI-generated images of public figures after Meta’s systems fell short on detecting and responding to the explicit content.
In other words, after two reports, the explicit AI-generated image remained on Instagram.
The second case relates to Facebook, where a user posted an explicit, AI-generated image that resembled a U.S. public figure in a Group focusing on AI creations.
Meta’s response and the next stepsIn response to the Oversight Board’s cases, Meta said it took down both pieces of content.
Why is AI so bad at spelling?
But put an AI up against some middle schoolers at the spelling bee, and it’ll get knocked out faster than you can say diffusion.
The underlying technology behind image and text generators are different, yet both kinds of models have similar struggles with details like spelling.
But, Guzdial says, if we look close enough, it’s not just fingers and spelling that AI gets wrong.
Though these AI models are improving at an alarming rate, these tools are still bound to encounter issues like this, which limits the capacity of the technology.
Have you ever needed a copy of your medical imaging to take to your doctor or another healthcare provider and received the images on a CD?
Many radiologists still use this ancient format to transfer patients’ imaging files.
A startup called PocketHealth has built an medical image exchange platform to digitize the process for every patient and healthcare provider, making it more intelligent and personalized, no CDs involved.
PocketHealth isn’t the only company offering medical imaging sharing for patients in the MedTech space.
Ambra Health, based in New York, offers solutions for medical image sharing, and EnvoyAI, based in Massachusetts, develops a medical imaging AI marketplace.
After frenzied speculation that a recent photo of Kate Middleton and her children was AI generated, the Duchess of Cambridge herself had to address the controversy.
It’s an appropriate amount of hands — eight hands for four people — but they all look a bit off.
So when official Royal Family accounts published the suspicious-looking photo of Kate and her children, the internet had a field day.
Even British celebrities like Piers Morgan have weighed in, raising the question of why the Royal Family won’t quash the conspiracy theories by just releasing the unedited photo.
It’s a good thing that the public was so skeptical about Middleton’s sketchy photo, since she admitted that it was edited.
Saining Xie, a computer science professor at NYU, began the research project that spawned the diffusion transformer in June 2022.
Diffusion models typically have a “backbone,” or engine of sorts, called a U-Net.
In other words, larger and larger transformer models can be trained with significant but not unattainable increases in compute.
The current process of training diffusion transformers potentially introduces some inefficiencies and performance loss, but Xie believes this can be addressed over the long horizon.
“I’m interested in integrating the domains of content understanding and creation within the framework of diffusion transformers.
