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Category: finance – Page 67

The Beginnings of a biotechnology revolution in Saudi Arabia?

The Saudi royal family, led by king Salman bin Abdulaziz have announced the formation of a non-profit research foundation which intends to spend $1 billion of the countries considerable annual oil revenue on supporting anti-aging research. If such funding materialises, it will make Saudi Arabia the single greatest financial contributor to longevity research.

The Saudi royal family aims to distribute this funding through a non-profit organisation called the Hevolution Foundation 0, which was founded by Dr Mehmood Khan, formerly of the Mayo Clinic. In a formal introduction to the Hevolution Foundation, Dr Khan had the following to say.

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Covering interstellar distances rapidly may still be a distant dream, but it’s now getting unprecedented financial support.

A nonprofit called the Limitless Space Institute, co-founded by former NASA warp drive researcher Harold “Sonny” White and retired astronaut Brian Kelly in 2020, is generating enough excitement — and funding — for the concept that it’s started giving out educational and research grants to schools and universities, as detailed by Universe Today.

The Institute, whose mission statement is to “inspire and educate the next generation to travel beyond our solar system and support the research and development of enabling technologies,” has even picked up some increasingly mainstream support. Take Gwynne Shotwell, the chief operations officer and second-in-command of SpaceX, who joined as an independent advisor in April, joining other bigshots in the aerospace sector including several retired astronauts involved with the venture.

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There’s a movement afoot to counter the dystopian and apocalyptic narratives of artificial intelligence. Some people in the field are concerned that the frequent talk of AI as an existential risk to humanity is poisoning the public against the technology and are deliberately setting out more hopeful narratives. One such effort is a book that came out last fall called AI 2041: Ten Visions for Our Future.

The book is cowritten by Kai-Fu Lee, an AI expert who leads the venture capital firm Sinovation Ventures, and Chen Qiufan, a science fiction author known for his novel Waste Tide. It has an interesting format. Each chapter starts with a science fiction story depicting some aspect of AI in society in the year 2041 (such as deepfakes, self-driving cars, and AI-enhanced education), which is followed by an analysis section by Lee that talks about the technology in question and the trends today that may lead to that envisioned future. It’s not a utopian vision, but the stories generally show humanity grappling productively with the issues raised by ever-advancing AI.

IEEE Spectrum spoke to Lee about the book, focusing on the last few chapters, which take on the big issues of job displacement, the need for new economic models, and the search for meaning and happiness in an age of abundance. Lee argues that technologists need to give serious thought to such societal impacts, instead of thinking only about the technology.

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As part of AMD’s Financial Analysts Day 2022, AMD has provided updates to its Server CPU roadmap going into 2024. The biggest announcement is that AMD is already planning for the (next) next-gen core for its successful EPYC family, the 5th generation EPYC series, which has been assigned the codenamed Turin. Some key announcements include various segmentations of its expected EPYC 7,004 portfolio, including Genoa, Bergamo, Genoa-X, and Siena.

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All images were generated by OpenAI’s DALL-E 2: https://openai.com/dall-e-2/

KEY SOURCES:
https://sitn.hms.harvard.edu/flash/2017/history-artificial-intelligence/


https://www.g2.com/articles/history-of-artificial-intelligence.
https://en.wikipedia.org/wiki/Timeline_of_artificial_intelligence.
https://courses.cs.washington.edu/courses/csep590/06au/projects/history-ai.pdf.

ABOUT JOHN COOGAN:
I am the co-founder of http://soylent.com and http://lucy.co, both of which were funded by Y Combinator (Summer 2012 and Winter 2018).

I’ve been an entrepreneur for the last decade across multiple companies. I’ve done a lot of work in Silicon Valley, so that’s mostly what I talk about. I’ve raised over 10 rounds of venture capital totaling over $100m in funding.

I work mostly in tech-enabled consumer packaged goods, meaning I use software to make the best products possible and then deliver them to the widest possible audience. I’m a big fan of machine learning, python programming, and motion graphics.

Continue reading “The Epic History of Artificial Intelligence” | >

Cybersecurity researchers have taken the wraps off what they call a “nearly-impossible-to-detect” Linux malware that could be weaponized to backdoor infected systems.

Dubbed Symbiote by threat intelligence firms BlackBerry and Intezer, the stealthy malware is so named for its ability to conceal itself within running processes and network traffic and drain a victim’s resources like a parasite.

The operators behind Symbiote are believed to have commenced development on the malware in November 2021, with the threat actor predominantly using it to target the financial sector in Latin America, including banks like Banco do Brasil and Caixa, based on the domain names used.

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Cybercriminals are impersonating popular crypto platforms such as Binance, Celo, and Trust Wallet with spoofed emails and fake login pages in an attempt to steal login details and deceptively transfer virtual funds.

“As cryptocurrency and non-fungible tokens (NFTs) become more mainstream, and capture headlines for their volatility, there is a greater likelihood of more individuals falling victim to fraud attempting to exploit people for digital currencies,” Proofpoint said in a new report.

“The rise and proliferation of cryptocurrency has also provided attackers with a new method of financial extraction.”

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From banking to communication our modern, daily lives are driven by data with ongoing concerns over privacy. Now, a new EPFL paper published in Nature Computational Science argues that many promises made around privacy-preserving mechanisms will never be fulfilled and that we need to accept these inherent limits and not chase the impossible.

Data-driven innovation in the form of personalized medicine, better public services or, for example, greener and more efficient industrial production promises to bring enormous benefits for people and our planet and widespread access to data is considered essential to drive this future. Yet, aggressive data collection and analysis practices raise the alarm over societal values and fundamental rights.

As a result, how to widen access to data while safeguarding the confidentiality of sensitive, has become one of the most prevalent challenges in unleashing the potential of data-driven technologies and a new paper from EPFL’s Security and Privacy Engineering Lab (SPRING) in the School of Comupter and Communication Sciences argues that the promise that any is solvable under both good utility and privacy is akin to chasing rainbows.

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