Lifeboat Foundation: Safeguarding Humanity
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Check out our new promo for #transvision #future Summit 2021! Get your tickets! -> www.TransVisionMadrid.com There will be talks about #longevity #artificialintelligence #cryonics and much much more. You will also be able to network with speakers and attendees during 5 optional dinner/cocktails, and 2 tours of several UNESCO heritage sites and historical places: Ávila, Segovia, Monsaterio de El Escorial, Valle de los Caídos (Valley of the Fallen), Aranjuez & Toledo.

Humanity Plus Humanity Plus Humanity Plus Magazine MUTISHAN Interactive Vivian Francos #SEOHashtag Alcor Life Extension Foundation Cryonics Institute Cryonics Institute SENS Research Foundation SENS Research Foundation Posthuman Network Posthuman Network Cryonics4U Longevity Conferences Longevity for All U.S. Transhumanist Party Transhumanist Party Australia Transhumanist Party Virtual Rational Transhumanism Singularity University Ray Kurzweil Singularity Singularity Hub Ray Kurzweil’s Singularity Singularity Network Transhumanismo Brasil Transhumanismo Brasil TRANSHUMANISMO Christian Transhumanist Association Mormon Transhumanist Association SingularityNET Singularitarianism Foresight Institute Lifeboat Foundation Lifeboat Foundation Machine Intelligence Research Institute KrioRus The Hedonistic Imperative — Paradise Engineering.

Promo by sergio tarrero for alianza futurista & transvision madrid.

http://www.TransVisionMadrid.com.

Spain will host the next world futurist summit on October 8, 9 and 10, 2021. Humanity+ will be the main international organizer of this international congress. Afterwards, during October 11 and 12, we will continue with informal conversations while traveling to UNESCO World Heritage Sites around Madrid: Aranjuez, Ávila, El Escorial, Segovia y Toledo. Every night will finish with optional cocktails in beautiful places for networking and meeting the participants and speakers.

Continue reading “#TransVision Future Summit 2021 — Promo 1 (English)” | >

With help from Microsoft’s artificial intelligence systems, the BeachBot learns how to better find the strewn filters, even if they’re partially buried in the sand. It then scoops these cigarette butts up from the sand and disposes of them in an internal bin. Later, people empty that bin into a trash container. Rolling atop the sand on four puffy-looking wheels, the beach-cleaning robot uses two onboard cameras to look ahead (to avoid people and objects) and to look down.

The BeachBot is still in early learning via the software giant’s Trove AI system, which helps provide image sets for this kind of machine learning task. Teaching the bot how to find its prey requires a lot of people. TechTics must show the beach rover (and, specifically, the AI system) thousands of photos of cigarette butts, all lying about in various states, such as partially hidden, so it can recognize and remember them.

The Trove app connects AI developers with photo takers through a transparent data marketplace. In this case, people can submit their photos, and TechTics directly pays contributors 25 cents per accepted image. TechTics is seeking to eventually collect 2000 photos of cigarette butts on the beach via Trove to help the robot fully understand what it’s looking for. To date, it has obtained about 200 useful images, but BB is already able to seek out waste with two onboard cameras, use its robotic arms, and put cigarette butts into an onboard bin.

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A new wearable brain-machine interface (BMI) system could improve the quality of life for people with motor dysfunction or paralysis, even those struggling with locked-in syndrome—when a person is fully conscious but unable to move or communicate.

A multi-institutional, international team of researchers led by the lab of Woon-Hong Yeo at the Georgia Institute of Technology combined wireless soft scalp electronics and virtual reality in a BMI system that allows the user to imagine an action and wirelessly control a wheelchair or robotic arm.

The team, which included researchers from the University of Kent (United Kingdom) and Yonsei University (Republic of Korea), describes the new motor imagery-based BMI system this month in the journal Advanced Science.

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One of the scientists prodding and poking the Kelly brothers is Prof Christopher E Mason, the lead geneticist on the Twins Study. Mason’s lab at Cornell University is nothing if not ambitious. Its work centres on a “500-year plan for the survival of the human species on Earth, in space, and on other planets.”

As well as studying what happens to astronauts, it involves laying the genetic groundwork for humans to live among the stars. Mason envisions a future in which the human genome can be bioengineered to adapt to almost any environment, augmented with genes from other species that allow us to explore and settle the farthest corners of the Universe.

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The prediction of protein structures from amino acid sequence information alone, known as the “protein folding problem,” has been an important open research question for more than 50 years. In the fall of 2020, DeepMind’s neural network model AlphaFold took a huge leap forward in solving this problem, outperforming some 100 other teams in the Critical Assessment of Structure Prediction (CASP) challenge, regarded as the gold-standard accuracy assessment for protein structure prediction. The success of the novel approach is considered a milestone in protein structure prediction.

This week, the DeepMind paper Highly Accurate Protein Structure Prediction with AlphaFold was published in the prestigious scientific journal Nature. The paper introduces AlphaFold2, a completely redesigned and open-sourced model that can predict protein structures with atomic-level accuracy.

Although machine learning researchers have long sought to develop computational methods for predicting 3D protein structures from protein sequences, there had been limited progress along this path, chiefly due to the computational intractability of molecular simulation, the context-dependence of protein stability, and the difficulty of producing sufficiently accurate models for protein physics.

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The super app, synonymous with popular mobile apps like WeChat, Grab, GoTo and Paytm, has enjoyed noteworthy success in Asian countries, but is relatively absent in other markets. CNBC’s Nessa Anwar, joined by Arjun Kharpal, explains the strategies and evolution behind the world’s biggest super apps.

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MIT physicists have observed signs of a rare type of superconductivity in a material called magic-angle twisted trilayer graphene. In a study appearing in Nature, the researchers report that the material exhibits superconductivity at surprisingly high magnetic fields of up to 10 Tesla, which is three times higher than what the material is predicted to endure if it were a conventional superconductor.

The results strongly imply that magic-angle trilayer graphene, which was initially discovered by the same group, is a very rare type of superconductor, known as a “spin-triplet,” that is impervious to high magnetic fields. Such exotic superconductors could vastly improve technologies such as imaging, which uses superconducting wires under a to resonate with and image biological tissue. MRI machines are currently limited to magnet fields of 1 to 3 Tesla. If they could be built with spin-triplet superconductors, MRI could operate under higher magnetic fields to produce sharper, deeper images of the human body.

The new evidence of spin-triplet superconductivity in trilayer graphene could also help scientists design stronger superconductors for practical quantum computing.

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