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Category: security – Page 16

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The nuclear reactions that power the stars and forge the elements emerge from the interactions of the quantum mechanical particles, protons and neutrons. Explaining these processes is one of the most challenging unsolved problems in computational physics. As the mass of the colliding nuclei grows, the resources required to model them outpace even the most powerful conventional computers. Quantum computers could perform the necessary computations. However, they currently fall short of the required number of reliable and long-lived quantum bits. This research combined conventional computers and quantum computers to significantly accelerate the prospects of solving this problem.

The Impact

The researchers successfully used the hybrid computing scheme to simulate the scattering of two neutrons. This opens a path to computing nuclear reaction rates that are difficult or impossible to measure in a laboratory. These include reaction rates that play a role in astrophysics and national security. The hybrid scheme will also aid in simulating the properties of other quantum mechanical systems. For example, it could help researchers study the scattering of electrons with quantized atomic vibrations known as phonons, a process that underlies superconductivity.

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In 2024, security teams face new opportunities and obstacles, such as escalating geopolitical tensions, stricter compliance mandates, and the rise of generative AI — which will transform the industry in new and unexpected ways.

In the State of Security 2024: The Race to Harness AI, we identify organizations that are pulling ahead of their peers and share key characteristics and findings.

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The problem of personal identity is a longstanding philosophical topic albeit without final consensus. In this article the somewhat similar problem of AI identity is discussed, which has not gained much traction yet, although this investigation is increasingly relevant for different fields, such as ownership issues, personhood of AI, AI welfare, brain–machine interfaces, the distinction between singletons and multi-agent systems as well as to potentially support finding a solution to the problem of personal identity. The AI identity problem analyses the criteria for two AIs to be considered the same at different points in time. Two approaches to tackle the problem are proposed: One is based on the personal identity problem and the concept of computational irreducibility, while the other one applies multi-factor authentication to the AI identity problem. Also, a range of scenarios is examined regarding AI identity, such as replication, fission, fusion, switch off, resurrection, change of hardware, transition from non-sentient to sentient, journey to the past, offspring and identity change.

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Working To Reduce Global Catastrophic Biological Risks — Dr. Jaime Yassif, Ph.D. — VP, Global Biological Policy and Programs, Nuclear Threat Initiative.

Dr. Jaime Yassif, Ph.D. serves as Vice President of Global Biological Policy and Programs, at the Nuclear Threat Initiative (https://www.nti.org/about/people/jaim…) where she oversees work to reduce global catastrophic biological risks, strengthen biosecurity and pandemic preparedness, and drives progress in advancing global health security.

Prior to this, Dr. Yassif served as a Program Officer at the Open Philanthropy Project, where she led the initiative on Biosecurity and Pandemic Preparedness. In this role, she recommended and managed approximately $40 million in biosecurity grants, which rebuilt the field and supported work in several key areas, including: development of new biosecurity programming at several leading think tanks; cultivation of new talent through biosecurity leadership development programs; initiation of new biosecurity work in China and India; establishment of the Global Health Security Index; development of the Clade X tabletop exercise; and the emergence of a new discussion about global catastrophic biological risks.

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The platform’s ability to interface with a variety of data sources and observability tools makes it a versatile solution for businesses operating in diverse IT environments, whether on-premises, in the cloud, or in hybrid settings. By serving as an intelligence layer that rationalizes data from multiple observability and infrastructure sources, Flip AI simplifies the workload for IT operations teams and supports more efficient operational practices.

This innovative use of LLMs for operational efficiency in IT environments presents a significant advancement in observability, offering enterprises a powerful tool to enhance system reliability and performance while reducing the economic impact of downtime.

As LLMs continue to evolve, their integration into observability tools is transforming the landscape of infrastructure and workload observability. The immediate benefits of improved performance monitoring and security are just the beginning.

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REFERENCES
Video: A Universe from nothing: • What came before the Big Bang? Quantu…
Video: Eternal Inflation: • Eternal Inflation: The BEST MULTIVERS…
Multiverse Theory: https://tinyurl.com/2cv2qxbm.
Math proof universe can come from nothing: https://tinyurl.com/np2vrty.
Paper of above: https://tinyurl.com/223t86z6
What came before big bang: https://tinyurl.com/y7g4pgwp.

CHAPTERS

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How can we guarantee that data sent over the internet is only accessible to its intended recipient? Currently, our data is secured using encryption methods based on the premise that factoring large numbers is a complex task. However, as quantum computing advances, these encryption techniques may become vulnerable and potentially ineffective in the future.

Encryption by means of physical laws

Tobias Vogl, a professor of Quantum Communication Systems Engineering, is working on an encryption process that relies on principles of physics. “Security will be based on the information being encoded into individual light particles and then transmitted. The laws of physics do not permit this information to be extracted or copied. When the information is intercepted, the light particles change their characteristics. Because we can measure these state changes, any attempt to intercept the transmitted data will be recognized immediately, regardless of future advances in technology,” says Tobias Vogl.

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