Lifeboat Foundation

SpaceX is going to launch a payload for client Nanoracks aboard one of its new rideshare missions, currently targeting late 2020, that will demonstrate a very ambitious piece of tech from the commercial space station company. Nanoracks is sending up a payload platform that will show off how it can use a robot to cut material very similar to the upper stages used in orbital spacecraft — something Nanoracks wants to eventually due to help convert these spent and discarded stages (sometimes called “space tugs” because they generally move payloads from one area of orbit to another) into orbital research stations, habitats and more.

The demonstration mission is part of Nanoracks’ “Space Outpost Program,” which aims to address the future need for in-space orbital commercial platforms by also simultaneously making use of existing vehicles and materials designed specifically for space. Through use of the upper stages of spacecraft left behind in orbit, the company hopes to show how it one day might be able to greatly reduce the costs of setting up in-space stations and habitats, broadening the potential access of these kinds of facilities for commercial space companies.

This will be the first-ever demonstration of structural metal cutting in space, provided the demo goes as planned, and it could be a key technology not just for establishing more permanent research families in Earth’s orbit, but also for setting up infrastructure to help us get to, and stay at, other interstellar destinations like the Moon and Mars.

Artificial intelligence can be used to predict molecular wave functions and the electronic properties of molecules. This innovative AI method developed by a team of researchers at the University of Warwick, the Technical University of Berlin and the University of Luxembourg, could be used to speed-up the design of drug molecules or new materials.

Artificial intelligence and machine learning algorithms are routinely used to predict our purchasing behavior and to recognize our faces or handwriting. In scientific research, Artificial Intelligence is establishing itself as a crucial tool for scientific discovery.

In chemistry, AI has become instrumental in predicting the outcomes of experiments or simulations of quantum systems. To achieve this, AI needs to be able to systematically incorporate the fundamental laws of physics.

In part two of this 2-part series, Oriana Beaudet and Dan Pesut discuss a healthcare future that includes automation, artificial intelligence and robots. And what about potential disruptive futures that change everything?

It doesn’t matter if you are a beginner or new to machine learning or advanced researcher in the field of deep learning methods and their application, everybody can benefit from Lex Fridman’s course on Deep Learning for Self-Driving Cars.

Artificial muscles will power the soft robots and wearable devices of the future. But more needs to be understood about the underlying mechanics of these powerful structures in order to design and build new devices.

Now, researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have uncovered some of the fundamental physical properties of artificial muscle fibers.

“Thin soft filaments that can easily stretch, bend, twist or shear are capable of extreme deformations that lead to knot-like, braid-like or loop-like structures that can store or release energy easily,” said L. Mahadevan, the Lola England de Valpine Professor of Applied Mathematics, of Organismic and Evolutionary Biology, and of Physics. “This has been exploited by a number of experimental groups recently to create prototypical artificial muscle fibers. But how the topology, geometry and mechanics of these slender fibers come together during this process was not completely clear. Our study explains the theoretical principles underlying these shape transformations, and sheds light on the underlying design principles.”

The future of AI, blockchain and fintech will be among the topics discussed at CNBC’s East Tech West conference in Nansha, China.

Merging of human biological arrangements with nonbiological machine hardware is perhaps not fairy at all. Futurist Ray Kurzweil mentioned his fairy dream over again that the historic Homo sapiens are not so far remote to the fifth epoch revolution. They human species is cramped to leave their biological genes and sluggish brain circuitry to merging them with the electrified hardware and fastest machine intelligence. Merging with electrified intelligence is unavoidable because of the slow computation power of human brain circuitry. Information processing and its exchanging ratio of a biological brain are extremely sluggish compared to the nonbiological brain. Despite its amazing innovative capacity of thinking, envision or consciousness, the human brain looks crawler if a goosey person even observes the current computation pace of nonbiological machine-brain for instance.

… Daniel Kahneman’s evidential works help readers summate the conclusion that the battle amid desire and choice is not an episodic whiff of latter, nor anybody can consider it a consequent tethering of modernity, rather the prehistoric beginning was also alluring by this in a bit different context. Memory-preserver neuron cells how to make a deep impact on human happiness levels have appeared crucial in Kahneman’s investigation. … …

Harari’s conversation with Kahneman echoed his historical findings that how human species manipulate Nature in an excuse to achieve individuality and happiness. He put forward statistical references to establish his findings of the behavioral shifting of human civilization; that is,— the personification of Naturebond life then diverts human species to a different track. They missed the integrity of taking Holistic View that a ‘piece or segment’ is ultimately the part of a ‘whole’ and any partial piece or segment never sustains long if it failed attached itself to the whole. Lil bit reminder of Chief Seattle’s Letter may relevant here. It is said that the native leader once wrote a letter to the President of the United States addressing the burning land settlement issues against his tribe:

Continue reading “Is death optional? ⇒ Kirno Sohochari” »

https://www.youtube.com/watch?v=PKN_Cc-GyCY

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In the last video in this series, we discussed the biologically inspired structure of deep leaning neural networks and built up an abstracted model based on that. We then went through the basics of how this model is able to form representations from input data.

Continue reading “Building An AI (Neural Networks | What Is Deep Learning | Deep Learning Basics)” »

Safety and cost concerns have led Mercedes-maker Daimler to predict revenues from autonomous trucks before self-driving cars become a thing.