Picsart, a photo-editing startup backed by SoftBank, announced on Thursday that it’s partnering with Getty Images to develop a custom model to bring AI imagery to its 150 million users.
The company says the model will bring responsible AI imagery to creators, marketers and small businesses that use its platform.
Image Credits: Picsart x Getty Images AI ImagePicsart’s AI lab, PAIR, is building the model.
The company is also integrating Getty Images video content into Picsart’s platform and making it available to Plus members.
Picsart isn’t the first startup that Getty Images has partnered with for responsible AI imagery, as it also partnered with AI image generator, Bria, and Runway, a startup building generative AI for content creators.
The startup’s eponymous app lets people self-publish stories, and then, using AI and data science, it selects what it believes are the most compelling of these to tweak and subsequently distribute and sell on a second app, Galatea.
The $37 million, a Series C, is being led by Vinod Khosla of Khosla Ventures.
The investment brings the total raised by Inkitt to date to $117 million (other rounds included a $3.9 million seed; a $16 million Series A and a $59 million Series B).
The average number of books read (and completed) has also dropped to around 5.
“Inkitt is doing just that with stories, creating content that is hyper-personalized and meaningful to every person.”
There’s a new generative AI startup based in Paris.
Bioptimus will leverage this unique data set to train its foundational model.
Creating new AI models is such a daunting task that creating a separate entity made more sense.
“As a ‘pure player’ in foundational models, Bioptimus is better set up to do this.”The startup has also signed a partnership with Amazon Web Services.
Now that Bioptimus is well funded, it’s time to work on the AI model and see what the biotech research community can do with it.
Rebellions, a South Korean fabless AI chip startup, said today it has closed $124 million (165 billion KRW) in a Series B round of funding to develop its third AI chip, called Rebel.
Rebellions’ fundraise comes at a key moment in the chip industry, specifically around the development and use of AI chips.
Nvidia is the AI chip market leader, its name synonymous with the AI boom that is currently sweeping the technology world.
In May 2023, Rebellions’ strategic investor, KT, installed Atom, Rebellions’ data-center targeted AI chip, in its cloud-based neural processing units (NPU) infrastructure.
Rebellions CEO Sunghyun Park, a former quant developer at Morgan Stanley in New York, and four co-founders set up the AI chip startup in 2020.
NASA is pushing back the next two Artemis missions to the moon — including the first crewed lunar mission in over fifty years — by around twelve months in order to give commercial partners more time to develop their technology.
The date of the fourth Artemis mission remains unchanged on September 2028.
That’s because SpaceX must also develop in-orbit refueling capabilities, as the architecture involves Starship refueling in space before picking up the astronauts.
After delivering astronauts to the moon, the Starship HLS must then launch from the surface before docking with Orion.
NASA officials also outlined a handful of issues they discovered after the demonstration launch of SLS in late 2022.
“Distributional is building the modern enterprise platform for AI testing and evaluation,” Clark told TechCrunch in an email interview.
Our platform is built for AI product teams to proactively and continuously identify, understand and address AI risk before it harms their customers in production.”Clark was inspired to launch Distribution after encountering tech-related AI challenges at Intel post-SigOpt acquisition.
While overseeing a team as Intel’s VP and GM of AI and high-performance compute, he found it nearly impossible to ensure that high-quality AI testing was taking place on a regular cadence.
“The lessons I drew from my convergence of experiences pointed to the need for AI testing and evaluation,” Clark continued.
The software offers organizations a “complete” view of AI risk, Clark says, in a pre-production environment that’s akin to a sandbox.
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