Lifeboat Foundation

Russia calculated that the Chinese side had sufficient financial resources and manufacturing capabilities, compensating for the Russian civil aviation industry’s financial problems. Moreover, the Russian side intended to use its advantage in engine technology to dominate production and thereby enter the huge Chinese civil aviation aircraft market. The Russians thought they had a strong selling point with the Central Aerodynamics Institute, known as TsAGI, which has more than a century of experience. Chinese technicians, however, did not share President Xi’s political calculations, and they did not think highly of Russia’s technological prowess. They believed that the Russian era of developing wide-body aircraft was part of a bygone Soviet legacy and that the real developers had already retired.

But a more fundamental problem is that Beijing’s motivation to cooperate with Russia was one-sided. China had hoped that money would entice Russia to share its engine technology, but Beijing had no intention of sharing its giant market with Moscow. With these conflicting interests from the start, it was only a matter of time before serious troubles began derailing the project.

The Russians originally wanted to use their own IL-96 aircraft as a blueprint for development. The Chinese, on the other hand, insisted on using the Boeing 787,777 and Airbus A350 as benchmarks for the development of jets with a two-aisle cabin layout, a range of 12,000 kilometers and 280 seats.

Quantum Information Science / Quantum Computing (QIS / QC) continues to make substantial progress into 2023 with commercial applications coming where difficult practical problems can be solved significantly faster using QC (quantum advantage) and QC solving seemingly impossible problems and test cases (not practical problems) that for classical computers such as supercomputers would take thousands of years or beyond classical computing capabilities (quantum supremacy). Often the two terms are interchanged. Claims of quantum advantage or quantum supremacy, at times, are able to be challenged through new algorithms on classical computers.

The potential is for hybrid systems with quantum computers and classical computers such as supercomputers (and perhaps analog computing in the future) could operate in the thousands and potentially millions of times faster in lending more understanding into intractable challenges and problems. Imagine the possibilities and the implications for the benefit of Earth’s ecosystems and humankind significantly impacting in dozens of areas of computational science such as big data analytics, weather forecasting, aerospace and novel transportation engineering, novel new energy paradigms such as renewable energy, healthcare and drug discovery, omics (genomics, transcriptomics, proteomics, metabolomic), economics, AI, large-scale simulations, financial services, new materials, optimization challenges, … endless.

The stakes are so high in competitive and strategic advantage that top corporations and governments are investing in and working with QIS / QC. (See my Forbes article: Government Deep Tech 2022 Top Funding Focus Explainable AI, Photonics, Quantum—they (BDC Deep Tech Fund) invested in QC company Xanadu). For the US, in 2018, there is the USD $1.2 billion National Quantum Initiative Act and related U.S. Department of Energy providing USD $625 million over five years for five quantum information research hubs led by national laboratories: Argonne, Brookhaven, Fermi, Lawrence Berkeley and Oak Ridge. In August 2022, the US CHIPS and Science Act providing hundreds of millions in funding as well. Coverage includes: accelerating the discovery of quantum applications; growing a diverse and domestic quantum workforce; development of critical infrastructure and standardization of cutting-edge R&D.

Researchers discover a new variant of the SOVA Android banking trojan with upgraded capabilities.

China, which face population collapse due to low fertility rate, is starting to take steps to encourage more births.

China’s fertility rate is 1.1 children per woman. Replacement level to maintain a stable population size is 2.1 children per woman.

A total of 17 Chinese government departments on Tuesday jointly released a guideline on support policies in finance, tax, housing, employment, education and other fields to create a fertility-friendly society and encourage families to have more children, as the country faces growing pressure from falling birth rates.

Continue reading “17 Chinese govt departments issue guideline to boost population growth amid falling birth rate” »

AgeX Therapeutics, a preclinical biotech looking to turn back the clock on aging, may have to wind down, announcing “substantial doubt” about its ability to continue as money runs dry and debts mount.

The California biotech made $12,000 in revenue for the second quarter and recorded $1.6 million in operating expenses over the same period, according to financial results posted August 12.

During the first quarter, the biotech borrowed the final half million of credit available under a 2020 agreement with Juvenescence—a separate anti-aging biotech—and entered a new deal in which Juvenescence will provide $13.2 million in credit for a year. AgeX drew an initial $8.2 million of the line of credit and used $7.2 million to refinance the principal and the loan origination fees under a 2019 loan agreement with Juvenescence.

Revival of pig tissue could pave the way for salvaging more human organs for transplant, and even bringing people back to life hours after death.

The number of bots and spam accounts on the platform has been a sticking point for Musk throughout the deal. After months of back and forth, Musk’s issues with spam accounts eventually led him to publicly pull out of the $44 billion deal.

Last month, Musk accused Twitter of withholding information about the number of bots on the platform, later citing it as the reason for withdrawing his bid.

Musk’s lawyers claimed in a termination letter that his analysis indicated the percentage of false accounts on Twitter was “wildly higher than 5%” — the number Twitter disclosed in its financial reports.

Researchers have observed the formation of 2D ice on gold surfaces that were thought to be too hydrophilic and too rough to support this type of ice.

Mobile devices use facial recognition technology to help users quickly and securely unlock their phones, make a financial transaction or access medical records. But facial recognition technologies that employ a specific user-detection method are highly vulnerable to deepfake-based attacks that could lead to significant security concerns for users and applications, according to new research involving the Penn State College of Information Sciences and Technology.

Mobile devices use facial recognition technology to help users quickly and securely unlock their phones, make a financial transaction or access medical records. But facial recognition technologies that employ a specific user-detection method are highly vulnerable to deepfake-based attacks that could lead to significant security concerns for users and applications, according to new research involving the Penn State College of Information Sciences and Technology.

The researchers found that most application programming interfaces that use facial liveness verification—a feature of facial recognition technology that uses computer vision to confirm the presence of a live user—don’t always detect digitally altered photos or videos of individuals made to look like a live version of someone else, also known as deepfakes. Applications that do use these detection measures are also significantly less effective at identifying deepfakes than what the app provider has claimed.

“In recent years we have observed significant development of facial authentication and verification technologies, which have been deployed in many security-critical applications,” said Ting Wang, associate professor of information sciences and technology and one principal investigator on the project. “Meanwhile, we have also seen substantial advances in deepfake technologies, making it fairly easy to synthesize live-looking facial images and video at little cost. We thus ask the interesting question: Is it possible for malicious attackers to misuse deepfakes to fool the facial verification systems?”