Google introduced its own AI system for generating videos based on text prompts. Called Imagen Video, the system is based on "a cascade" of seven video diffusion models, according to Google. Its debut comes shortly after Meta announced its Make-a-Video AI-powered online tool, which also creates short video clips based on text descriptions. More: - Google Imagen Video is able to generate 1280×768 videos at 24 frames per second. The videos are currently limited to 5.3 seconds in length.
- It can create videos in different artistic styles, such as the works of Vincent van Gogh, and create 3D rotating objects while preserving their structure.
- According to reports, the videos still contain obvious artifacts but have more details and lucidity than previous text-to-video models.
- Imagen Video was trained on data from the publicly available LAION-400M image-text dataset, as well as 14 million video-text pairs and 60 million image-text pairs, according to Google.
- The company filtered much of the data but notes that the generated videos could still display stereotypical, sexually explicit, and violent content.
ARS TECHNICA 
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Harvard researchers said they have developed the first ionic circuit, which they used to perform a calculation in a neural network. The design could be used for water-based ionic microprocessors, which would be more energy efficient and akin to how the human brain processes data than current processors. More: - The ionic circuit, the first of its kind, was created using a combination of hundreds of ionic transistors and diodes.
- Researchers were able to perform a core process for neural net computing within the ionic circuit.
- The simple 16 x 16 array was able to perform the matrix multiplication process in water in an analog way based on electrochemical machinery.
- The research, published in Advanced Materials, comes from scientists at Harvard's John A. Paulson School of Engineering and Applied Sciences and biotech startup DNA Script.
Zoom-out: - So far, the researchers have used 3 to 4 "ionic species," like hydrogen and quinone ions, but could employ more species to diversify the process.
- Future ionic microprocessors that are scaled could be more energy efficient than traditional semiconductor-based processors, though they'd likely still be much slower.
TOM'S HARDWARE
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Nearly 80% of companies practicing responsible AI say their frameworks remain limited in size and scope, according to a study by MIT Sloan Management Review and Boston Consulting Group. The survey polled 1,093 participants at organizations with $100M in annual revenue from 96 countries. It defines responsible AI as "a framework ... to ensure that AI systems are developed and operated in the service of good for individuals and society while still achieving transformative business impact." Findings: - 52% of companies say they practice some responsible AI (RAI).
- 79% of those said their implementations are restricted in scale and scope.
- 84% still believe RAI should be a top management priority.
- Only 56% said it has achieved that status at their organizations.
- 54% of respondents said they were struggling to find responsible AI expertise and talent.
- Only 16% of respondents were deemed "RAI leaders" with the most mature programs.
Best practices: - The survey identified some practices shared by these "RAI leaders":
- Make responsible AI part of the company's top management agenda. More leaders include their CEO in their RAI efforts, for example.
- Still include a broad range of participants in RAI.
- Start early and launch RAI efforts as soon as possible. It takes three years, on average, to start realizing benefits from responsible AI, according to the survey.
MIT SLOAN SCHOOL OF MANAGEMENT
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 Miso Robotics has reportedly started shipping its Flippy 2 robot to more fast-food restaurant chains. The AI-guided robotic arm removes fries and other food from a freezer, places it in hot oil, and deposits the final product on a tray for serving. Flippy took $50M and five years to develop and is now commercially available, Miso said. More: - Flippy 2 uses AI machine vision to identify ingredients and place them into the correct fry basket and holding areas.
- The robotic fry cook has been adopted at some White Castle locations in the Midwest, Jack in the Box in San Diego, and CaliBurger in the Seattle area, according to CEO Mike Bell.
- According to Reuters, three other major U.S. fast-food chains don't want to disclose their use of Flippy 2 over concerns that robots are taking away jobs from human workers.
- In SEC filings, Miso has said it doesn't view the robot as a replacement for human jobs. Rather, it could actually create jobs through the hiring of "chef techs" to manage its robots.
- "The task that the humans are most happy to offload are tasks like the fry station. ... They're delighted to have the help so they can do other things," Bell said.
REUTERS
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Healthcare automation firm Olive AI is reportedly selling two of its product lines to sibling company Rotera, Axios reports. Olive's machine learning software is designed to automate repetitive and back-office tasks at hospitals. The company recently lost several executives and laid off 450 staffers in July. More: - Olive was founded in 2017 with the aim of solving tasks by healthcare workers using AI.
- Now, Olive appears to be divesting some assets. The company is selling its population health and 340B product lines as they no longer align with Olive's strategy, a spokesperson confirmed.
- The representative still refuted claims that 10 of its health system customers have stopped doing business with Olive, saying only two have given notice in the last two months.
- Olive said its population health and 340 represent less than 3% of its revenue, and it will remain in the health system space.
- In 2021, the Ohio-based startup raised $400M to scale its enterprise solutions for hospitals. Olive has raised a total of $902M.
BECKER'S HOSPITAL REVIEW
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🍋 FRESH FUNDING 🍋 - Stellar Pizza (California), a pizza chain where robots prepare the food without human intervention: $16.5M growth led by Marcy Venture Partners(founded by Jay-Z).
- Lunio (U.K), an artificial intelligence platform that identifies fake ad traffic: $15M A led by London and Smedvig Capital.
- Regie.ai (California), a platform that uses GPT-3 technology to generate copy, suggest improvements, store it, and enable users to share it: $10M A led by Scale Venture Partners with participation from Foundation Capital, and South Park Commons.
- Cipia (Israel), provides sensing solutions for the automotive industry that use AI to prevent accidents: $9M Growth led by led by Alexandre Weinstein, with participation from Cartridge Holdings Ltd and angel investors.
- Vega Cloud (Washington), offers a data-based solution that aims to help businesses make better data-driven decisions: $9M equity and debt growth led by Album VC and Sun Mountain Capital with participation from Kick-Start, Incisive Ventures, Rudeen & Company, the Cowles Company, Tacoma Ventures, Tapas Capital, and the Seattle Alliance of Angels.
- Bekonix (California), a no-code platform to design and build smart IoT devices: $1.3M Seed led by Moneta Ventures.
For the latest on AI startup funding and more in the VC community, check out our Inside Venture Capital newsletter.
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- The U.S. Chamber of Commerce warned that the White House's Blueprint for an AI Bill of Rights, unveiled yesterday, could hamper the ability of the U.S. to compete globally.
- A MarketsandMarkets report forecasts a 39.9% CAGR for the AI in medical diagnostics market, which is projected to grow from $1B this year to $5.5B by 2027.
- South Korean record label Hybe acquired AI startup Supertone for an estimated $32M. Supertone provides voice synthesis services that generate songs based on lyrics, melody, and beats. It's been used to recreate the voices of musical artists for Korean TV shows.
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 |  | Beth is a writer and editor at Inside.com covering artificial intelligence and daily technology news. You can reach her at Beth.Duckett@inside.com. |   | | Editor | Aaron Crutchfield is based in the high desert of California. Over the last two decades, he has spent time writing and editing at various local newspapers and defense contractors in California. When he's not working, he can often be found looking at the latest memes with his kids or working on his 1962 and 1972 Fords. | |
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