Lifeboat Foundation

AI at the Edge, NAD-Enhancing Drugs, and Laser Beam Toting Sharks!! — Discovering, Enabling & Transitioning Technology For Special Operations Forces — Lisa R. Sanders, Director of Science and Technology for Special Operations Forces, USSOCOM.

Lisa R. Sanders is the Director of Science and Technology for Special Operations Forces, Acquisition, Technology & Logistics (SOF AT&L), U.S. Special Operations Command (USSOCOM — https://www.socom.mil/), located at MacDill Air Force Base, Florida, where she is responsible for all research and development funded activities — https://www.socom.mil/SOF-ATL/Pages/eSOF_cap_of_interest.aspx.

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According to a report by AI experts, the internet is set to be overrun by AI-generated content in just a few years. Will this ruin content for the rest of time?

A study by Europol, The European Union Agency for Law Enforcement Cooperation, claims that AI will be more prominent than human-made content very soon. The study explains that the vast expansion of AI tools means that we’ll have to deal with more AI-generated content than human-made content.

In the report, it’s claimed that humanity will be flooded with “synthetic media”. This is a new term for media that is fully generated by artificial intelligence programs, fuelled by bots designed to pump out as much content as possible.

Introducing SpecTrain as means to predict future weights of neural network to alleviate data staleness and improve speed of training via distributed training.

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Last video: The 2023 Model Y Update Is Here — All New Features!
https://youtu.be/gzh9j0_gzws.

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The idea of artificial intelligence overthrowing humankind has been talked about for decades, and in 2021, scientists delivered their verdict on whether we’d be able to control a high-level computer super-intelligence. The answer? Almost definitely not.

The catch is that controlling a super-intelligence far beyond human comprehension would require a simulation of that super-intelligence which we can analyze (and control). But if we’re unable to comprehend it, it’s impossible to create such a simulation.

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Our Machine Learning models show that there are periods where there are earthquakes magnitude ≥7 and periods without earthquakes with magnitude ≥7 in the analyzed seismic zones. In addition, our Machine Learning models predict a new seismically active phase for earthquakes magnitude ≥7 between 2040± 5and 2057 ± 5, 2024 ± 1 and 2026 ± 1, 2026 ± 2 and 2031 ± 2, 2024 ± 2 and 2029 ± 2, and 2022 ± 1 and 2028 ± 2 for the five seismic zones in United States, Mexico, South America, Japan, and Southern China-Northern India, respectively. Finally, we note that our algorithms can be further applied to perform probabilistic forecasts in any seismic zone.

Our algorithm for analyzing strong earthquakes in extensive seismic areas can also be applied to smaller or specific seismic zones where moderate historical earthquakes with magnitudes between 5 and 7 occur, as is the case of the Parkfield section of the San Andreas fault (California, United States). Our analysis shows why a moderate earthquake could never occur in 1988 ± 5 as proposed by Bakun and Lindh (1985) and why the long-awaited characteristic Parkfield earthquake occurred in 2004. Furthermore, our Bayesian model of Machine Learning adopting a periodicity of 35 years predicts that possible seismic events may occur between 2019 and 2031, with a high probability of event(s) around 2025 ± 2. The Parkfield section of the San Andreas fault is an excellent seismic laboratory for developing, testing, and demonstrating earthquake forecasts. In a few years, it will be possible to demonstrate whether our algorithm effectively forecasts strong and moderate earthquakes.

ARTIFICIAL intelligence has been concerning some of science’s top minds due to the potential that it might threaten civilization as a whole.

A group of researchers came to the frightening conclusion that super-intelligence AI may not be able to be contained, according to the Journal of Artificial Intelligence Research.

The study found that controlling a super-intelligence would be beyond human comprehension.

Ray Kurzweil explores how and when we might create human-level artificial intelligence at the January 2017 Asilomar conference organized by the Future of Life Institute.

The Beneficial AI 2017 Conference: In our sequel to the 2015 Puerto Rico AI conference, we brought together an amazing group of AI researchers from academia and industry, and thought leaders in economics, law, ethics, and philosophy for five days dedicated to beneficial AI. We hosted a two-day workshop for our grant recipients and followed that with a 2.5-day conference, in which people from various AI-related fields hashed out opportunities and challenges related to the future of AI and steps we can take to ensure that the technology is beneficial.

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The real-world applications are limitless.

A group of researchers from the University of Washington has engineered a new AI tool that can identify and design new proteins. This could lead to more efficient vaccines, better cures for cancer, or new materials, according to a report published by MIT Technology Review.

University of Washington scientists have invented an AI tool called ProteinMPNN that allows them to design any proteins they can conceive of. The tool could lead to new cures and new materials.

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