Airbnb Veteran Krishna Rao Joins AI Startup Anthropic as CFO

Artificial intelligence (AI) startup Anthropic has appointed Airbnb veteran Krishna Rao as its chief financial officer (CFO).

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    In his new role, Rao will help shape Anthropic’s financial strategy and operations as the company grows and expands internationally, the company said in a Tuesday (May 21) press release.

    “As we continue to grow our footprint and expand our impact, Krishna’s deep expertise in financial strategy and analysis, capital allocation and scaling high-growth organizations will be essential,” Daniela Amodei, co-founder and president of Anthropic, said in the release.

    Rao joins the company from Fanatics Commerce, where he served as CFO, according to the release.

    Before that, he led both the finance function and operational initiatives at healthcare payments and patient engagement platform Cedar, where he served as CFO, the release said.

    At Airbnb, Rao helped navigate the company through the pandemic and played a key role in its initial public offering (IPO) and private financings while serving as global head of corporate and business development and as director of financial planning and analysis, per the release.

    “I am thrilled to join Anthropic at such a pivotal moment in the company’s journey,” Rao said in the release. “Anthropic’s mission to build transformative AI systems that benefit humanity deeply resonates with me.”

    In another recent addition, Anthropic said May 15 that Instagram co-founder Mike Krieger joined the firm as its chief product officer.

    In that role, Krieger will oversee Anthropic’s product engineering, product management and product design efforts as the company works to expand its suite of enterprise applications and to bring its AI assistant, Claude, to a wider audience.

    On May 13, Anthropic launched Claude in Europe, saying the web-based version claude.ai, the Claude iOS app and the subscription-based Claude Team plan are now available across the continent.

    These offerings joined the Claude API that was launched in Europe earlier this year and allows developers to integrate Anthropic’s AI models into their own applications, websites or services.

    In March, Amazon made an additional $2.75 billion investment in Anthropic that joined the $1.25 billion investment it made in September 2023 brought its total investment in the AI company to $4 billion.


    MIT Student Invents Breakthrough Art Restoration Technique

    artwork

    Ever since he was a child, Alex Kachkine has been fascinated by paintings. He would visit museums and was drawn in by the visual art depicted in landscapes, historical figures and religious scenes.

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      “Anytime I visit New York City, the first place I go to is the art gallery,” Kachkine said in an interview with PYMNTS. “It’s been a lifelong passion of mine.”

      Such adoration naturally means Kachkine would look to acquire art works of his own. But with a limited budget, the MIT graduate researcher with a discerning eye instead bought damaged oil paintings he could restore.

      “I ventured into art conservation around 10 years ago when I realized that you can’t buy a Monet reasonably,” Kachkine said. “But you can, even with the limited income I had back then, buy damaged paintings. And I realized that I could take one of those damaged paintings, restore it, and then I would have a really nice painting.”

      Kachkine knew that restoration is manually laborious. The painting has to be cleaned of debris and any past restoration efforts have to be removed as well. Then, the damaged parts in paintings have to be manually painted while staying true to the artist’s style.

      This typically means months to years of painstaking work. Kachkine did it the traditional way at first, but thought there must be a better way. So, he invented a method using artificial intelligence (AI), transfer paper, printers and varnish. His paper describing the technique is published in the journal Nature.

      Kachkine said his method greatly speeds up restoration: In repairing a 2-foot by 2-foot painting, “The Adoration of the Shepherds,” from the late 15th century, he spent 3.5 hours compared to 232 hours it would normally take to do it manually. That’s faster by 66 times.

      Source: “Physical restoration of a painting with a digitally constructed mask,” Nature

      Taking the cleaning time into account, his method would speed up the entire restoration process by four to five times, Kachkine said.

      Around 70% of paintings in institutional collections are not displayed in public due in part of the cost of restoring them, according to Kachkine’s paper. Therefore, restoration efforts typically center around the most valuable pieces of art with the rest left buried in storage.

      Kachkine said various AI models are able to generate images of damaged paintings as they would look fully restored. But these would exist only virtually. He said his technique is the first to translate the digital restored image into physically restoring the actual painting.

      “This is the first time we’ve been able to take all of those digital tools and actually end up with a physically restored painting from them,” he said. “And it’s so much faster than doing these kinds of restorations by hand.”

      How Gen AI Helps Restore Paintings

      The process begins with cleaning the artwork of debris and old restoration efforts. Once cleaned, the painting is scanned to produce a high-resolution image. Kachkine then uses a variety of Adobe-integrated digital tools, including convolutional neural networks and partial convolution models, to reconstruct missing regions.

      Once the digital restoration is complete, a transparent film mask is printed with the reconstructed imagery. This laminate consists of nine ultra-thin layers, including a white backing for color vibrancy and laser-printed pigments. The result is an overlay that sits precisely on the original painting, with printed colors covering only the damaged areas.

      “It’s thinner than human hair,” Kachkine said, adding that the film is removable using standard conservation solvents, preserving the artwork underneath.

      The ethical implications of this method were also central to Kachkine’s design. He developed algorithms that determine which regions to restore based on how human vision perceives color and contrast.

      “We really only select the damages that human vision is sensitive to,” he said. “You can tell what areas have been restored and which have not. That’s really important from an ethical standpoint in conservation.”

      At first, Kachkine said he wasn’t sure how his method would be received. But he was gratified to see broad interest from conservators, cultural institutions and private equity firms. He also has a GoFundMe page.

      Kachkine said he is now collaborating with the Italian Ministry of Culture on restoring frescoes in earthquake-damaged chapels in Tuscany.

      His dream painting restoration job would come from the Italian Renaissance.

      “There are a number of Italian paintings, especially around the Renaissance, that have very bright colors” such as Raphael, Kachkine said. “I’d love to be able to restore one of those [paintings] where before restoration, it would be very difficult to appreciate all of the fun colors that might emerge and the interesting textures that are there.”

      “That’s the dream,” he said. “It might take a little bit before I could get my hands on one, but I’ll keep trying.”

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      Photo: MIT graduate researcher Alex Kachkine looking at a painting. Credit: Alex Kachkine