 Supercomputing pioneer Jack Dongarra has won this year's Turing Award, a $1M prize described as the Nobel Prize of computing. Google provides the $1M prize for the prestigious award, named after the British scientist Alan Turing. More: - Dongarra, 71, is a professor at the University of Tennessee and a researcher at the Oak Ridge National Laboratory in Oak Ridge, Tennessee.
- Much of Dongarra's work has focused on how to effectively use and exploit advanced computer architectures. He has contributed to the field in various ways:
- He helped establish a common benchmark, LINPACK, for ranking many of the world's supercomputers.
- He co-founded the Top500 organization that ranks and details these powerful computers.
- The Association for Computing Machinery, which awards the prize, cited Dongbarra's contributions to programming libraries that underly how algorithms on processed on computers.
- This has allowed "progressively more powerful computers to solve computationally challenging problems," it said.
- Dongarra designed and built numerical software that runs on high-performance machines. He has achieved work on parallel processing mechanisms.
Zoom-out: - The Energy Department-sponsored Oak Ridge National Laboratory is where the IBM-built Summit supercomputer is housed.
- The lab describes Summit as possibly "the world's smartest supercomputer for solving problems using artificial intelligence, including deep learning."
THE NEW YORK TIMES 
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Google says it will update its AI language model, MUM, to improve search results for crisis topics like suicide. The company will apply the model to both Google and YouTube searches to better recognize when someone is experiencing a critical situation. More: - The AI model can help detect when to show support resources related to domestic violence, sexual assault, suicide, and substance abuse.
- For example, MUM could recognize that the search query "Sydney suicide hot spots" is about jumping locations and not travel spots.
- It can also understand more complex and longer search queries, such as "why did he attack me when i said i dont love him," according to Google.
- The company says it makes search safer with the AI model.
- Since MUM can translate between 75 languages, Google plans to work with local partners to use the AI to improve personal crisis searches in other countries.
About MUM: - Google announced the "Multitask Unified Model," or MUM, in 2021. The model can acquire knowledge, answer complex questions, generate language, and interpret text, images, and videos at the same time.
- At last year's I/O, Google used MUM in a search query for "I've hiked Mt. Adams and now want to hike Mt. Fuji next fall, what should I do differently to prepare?" MUM was able to show the similarities and differences between the mountains and show articles for hiking equipment.
TECHCRUNCH
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 Some businesses are using fake profiles with AI-generated faces to make sales pitches on LinkedIn, Stanford Internet Observatory (SIO) researchers have found. NPR linked the fake profiles to 70+ businesses, several of which confirmed the outside marketing but didn't approve the use of computer-generated photos. More: - SIO's Renée DiResta and Josh Goldstein uncovered more than 1,000 profiles using the AI photos, which are often distinguishable by traits like blurred hair, a fuzzy background, misshapen mouths, and unusual alignment of eyes.
- They have been contacting real LinkedIn users to generate buzz and interest for companies. If a target shows interest, the bots pass that user's information to a human salesperson, they found.
- Recently, the AI startup V7 Labs developed software that it says can detect fake AI-generated images of people at more than 99% accuracy. The software is available as a Google Chrome extension.
- On a more serious note, Google recently reported that a ransomware hacking group used AI to generate fake images to appear as legitimate employees so it could gain access to corporate computer networks.
PETAPIXEL
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 Beewise, a developer of AI-powered robotic beehives that save bees, raised an $80M investment round led by Insight Partners. The startup's hives use a robotic system that continuously monitors bees using neural networks, computer vision, and machine learning. More: - The hives use AI to surveil colonies for threats like pests and pesticides. They automatically dispense water, food, and medicine and apply pesticides when a hive is exposed to parasites, for example.
- Beewise says its hives now manage 7 billion+ bees, reducing their mortality by an estimated 80% and increasing yields by at least 50%.
- In the last 12 months, the technology has saved an estimated 160 million+ bees, which are dying at a rate of more than 30% a year, primarily because of climate change.
- The technology was among Time magazine's 100 groundbreaking inventions for 2020.
- Israel-based Beewise has raised $120M+ funding to date.
THE TIMES OF ISRAEL
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 Builder.ai, an AI-assisted low-code/no-code app development platform, secured $100M in funding led by Insight Partners. The startup says its platform helps build software and apps up to 6x faster and 70% cheaper than humans alone. More: - IFC and Jeffrey Katzenberg's WndrCo. also joined the Series C round, which brings Builder's total raised to $195M to date.
- The London-based startup plans to use the fresh capital to invest in its AI and automation capabilities, further develop its platform, expand global operations, and scale product development on systems including conversational AI "Natasha."
- Builder says its revenue has grown more than 300% in the past year. It increased its headcount from 265 to 450 employees.
- A Crunchbase analysis found that so-called "low-code" or "no-code" companies, many of which use AI, have raised at least $560M across 40 rounds so far this year.
CRUNCHBASE NEWS
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🍋 FRESH FUNDING 🍋 - Bear Robotics (Redwood City, Calif.), hospitality robotics and artificial intelligence solutions: $81M B led by IMM, participation from Cleveland Avenue, et al.
- Qure.ai (Mumbai, India), AI-based medical imaging diagnostics: $40M led by Novo Holdings, HealthQuad, participation from MassMutual Ventures.
- Zesty.ai (San Francisco, Calif.), predictive data analytics in the climate risk space: $10M Debt from Brex.
- QunaSys (Tokyo, Japan), algorithms in chemistry focused on accelerating the development of quantum technology: $10M B led by JIC Venture Growth Investments, participation from ANRI, Fujitsu Ventures Fund, Global Brain, HPC Systems, et al.
- Brain.space (Tel Aviv, Israel), brain mapping company with NASA contracts: $8.5M Seed led by Mangrove Capital Partners.
- LexCheck (New York, N.Y.), AI-powered contract negotiation platform: $5M led by Ulu Ventures, participation from Kli Capital, Howard Morgan, et al.
For the latest on AI startup funding and more in the VC community, subscribe to our newsletter, Inside Venture Capital.
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 |  | Beth is a writer and analyst at Inside.com covering artificial intelligence and daily tech news. Since starting work at Inside, she has covered various topics including virtual reality, drones, and e-commerce. Prior to that she was a public policy and investigative reporter for The Arizona Republic, where she won a Pulitzer Prize nomination and First Amendment Award for reporting on the rising costs of pensions. 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 Ford. | |
Pipe is the world's first trading platform for recurring revenue. | |
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