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Probing the Secrets to Human Longevity with Methuselah Flies

In the 1980s, biologist Dr Michael Rose started to selectively breed Drosophila fruit flies for increased longevity. Today, the descendants of the original Methuselah flies are held by biotech firm Genescient Corporation and live 4.5 times longer than normal fruit flies.

The flies’ increased lifespan is explained by a significant number of systemic genetic changes — but how many of these variations represent lessons that can be used to design longevity therapies for humans? Dr. Ben Goertzel and his bio-AI colleagues at SingularityNET and Rejuve. AI are betting the answer is quite a few.

SingularityNET and Rejuve. AI have launched a partnership with Genescient to apply advanced machine learning and machine reasoning methods to transfer insights gained from the Methuselah fly genome to the human genome. The goal is to acquire new information regarding gene therapies, drugs or nutraceutical regimens for prolonging healthy human life.

Teslabot Insights

There were two Teslabot videos. The first has a discussion with James Douma. James describes his perspective of the advances in neural nets. He described how GPT-3 created a foundational capability by cracking language. He believes the Teslabot will leverage neural nets to crack robotic methods for bipedal movement and mastering identifying and picking up objects.

These Are Not Photos: Beautiful Landscapes Created by New AI

First photographers were creating portraits of people that don’t exist, now Aurel Manea has created a series of “landscape photos” using a new artificially intelligent (AI) software program called Stable Diffusion.

Manea tells PetaPixel that he has been blown away by what the London and Los Altos-based startup Stability AI has created.

“I can’t, as a landscape photographer myself, emphasize enough what these new technologies will mean for photography,” explains Manea.

The Hidden Pattern: A Patternist Philosophy of Mind

The Hidden Pattern presents a novel philosophy of mind, intended to form a coherent conceptual framework within which it is possible to understand the diverse aspects of mind and intelligence in a unified way. The central concept of the philosophy presented is the concept of “pattern”: minds and the world they live in and co-create are viewed as patterned systems of patterns, evolving over time, and various aspects of subjective experience and individual and social intelligence are analyzed in detail in this light. Many of the ideas presented are motivated by recent research in artificial intelligence and cognitive science, and the author’s own AI research is discussed in moderate detail in one chapter. However, the scope of the book is broader than this, incorporating insights from sources as diverse as Vedantic philosophy, psychedelic psychotherapy, Nietzschean and Peircean metaphysics and quantum theory. One of the unique aspects of the patternist approach is the way it seamlessly fuses the mechanistic, engineering-oriented approach to intelligence and the introspective, experiential approach to intelligence.

Holographic Conversational Video Experience allows you to communicate with deceased relatives

The company StoryLife developed technology Holographic Conversational Video Experience that allows you to communicate with holograms of deceased relatives.

What we know

A U.S. startup has learned how to create a digital clone of a person before they die. It uses two dozen synchronized cameras to do so. They record answers to questions and then the resulting material is used to train artificial intelligence.

Open-source software gives a leg up to robot research

Carnegie Mellon researchers have developed an open-source software that enables more agile movement in legged robots.

Robots can help humans with tasks like aiding disaster recovery efforts or monitoring the environment. In the case of quadrupeds, robots that walk on four legs, their mobility requires many software components to work together seamlessly. Most researchers must spend much of their time developing lower-level infrastructure instead of focusing on high-level behaviors.

Aaron Johnson’s team in the Robomechanics Lab at Carnegie Mellon University’s College of Engineering has experienced these frustrations firsthand. The researchers have often had to rely on simple models for their work because existing software solutions were not open-sourced, did not provide a modular framework, and lacked end-to-end functionality.

Uncovering nature’s patterns at the atomic scale in living color

Color coding makes aerial maps much more easily understood. Through color, we can tell at a glance where there is a road, forest, desert, city, river or lake.

Working with several universities, the U.S. Department of Energy’s (DOE) Argonne National Laboratory has devised a method for creating color-coded graphs of large volumes of data from X-ray analysis. This new tool uses computational data sorting to find clusters related to physical properties, such as an atomic distortion in a . It should greatly accelerate future research on structural changes on the atomic scale induced by varying temperature.

The research team published their findings in the Proceedings of the National Academy of Sciences in an article titled “Harnessing interpretable and unsupervised to address big data from modern X-ray diffraction.”

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