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Hugo de Garis interview — part 3 — Terrans, Cosmists & Cyborgs 2010/10/09 007–1

Interview with Hugo in Melbourne after the Singularity Summit Australia 2010, conducted by Adam A. Ford.

Terrans, Cyborgs and Cosmists — Varieties of human groups. Species dominance.

Bio: Prof. Dr. Hugo de Garis, 63, has lived in 7 countries. He recently retired from his role of Director of the Artificial Brain Lab (ABL) at Xiamen University, China, where he was building China’s first artificial brain. He and his friend Prof. Dr. Ben Goertzel have just finished guest editing a special issue on artificial brains for Neurocomputing journal (December 2010), the first of its kind on the planet.

He continues to live in China, where his U.S. savings go 7 times further, given China’s much lower cost of living. He spends his afternoons in his favorite (beautiful) park, and his nights in his apartment, intensively studying PhD-level pure math and mathematical physics to be able to write books on topics such as femtometer scale technology (“femtotech”), topological quantum computing (TQC), as well as other technical and sociopolitical themes.

He is the author of two books: The Artilect War: Cosmists vs. Terrans : A Bitter Controversy Concerning Whether Humanity Should Build Godlike Massively Intelligent Machines (2005) and Multis and Mono: What the Multicultured Can Teach the Monocultured: Towards the Creation of a Global State (2010). Both these books are concerned with the political consequences of future technologies.

He labels his new lifestyle “ARCing” (After-Retirement Careering), feeling freed from wage slavery, spending (probably) the remaining 30 years of his life pursuing with passion those deep and interesting topics that truly fascinate him, without having to waste huge amounts of time writing an endless stream of relatively unread, un-meaningful, short-horizon scientific papers or research grant proposals just to receive a salary. He feels liberated from all that, and can recommend ARCing to anyone with sufficient savings (i.e… to take up “wage free careering in the third of life”).

Electronic nanogenerator tattoos as human-machine interfaces

The field of epidermal electronics, or e-tattoos, covers a wide range of flexible and stretchable monitoring gadgets that are wearable directly on the skin. We have covered this area in multiple Nanowerk Spotlights, for instance stick-on epidermal electronics tattoo to measure UV exposure or tattoo-type biosensors based on graphene; and we also have posted a primer on electronic skin.

Taking the concept of e-tattoos a step further, integrating them with triboelectric nanogenerators (TENGs), for instance for health monitoring, could lead to next generation wearable nanogenerators and Internet-of-things devices worn directly on and powered by the skin.

In work reported in Advanced Functional Materials (“Triboelectric Nanogenerator Tattoos Enabled by Epidermal Electronic Technologies”), researchers report a tattoo-like TENG (TL-TENG) design with a thickness of tens of micrometers, that can interface with skin without additional adhesive layers, and be used for energy harvesting from daily activities.

Why Scientists are Giving Robots Human Muscles

Human-robot hybrids are advancing quickly, but the applications aren’t just for complete synthetic humans. There’s a lot we can learn about ourselves in the process.

Hosted by: Hank Green.

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Sources:

http://robotics.sciencemag.org/content/3/18/eaat4440
https://www.iis.u-tokyo.ac.jp/en/news/2916/
http://www.stroke.org/we-can-help/survivors/stroke-recovery/…emiparesis.
http://brainfoundation.org.au/images/stories/applicant_essay…_Terry.pdf.
https://www.ncbi.nlm.nih.gov/pubmedhealth/PMHT0027058/
https://training.seer.cancer.gov/anatomy/muscular/structure.html.
https://biodesign.seas.harvard.edu/soft-robotics.
https://www.nature.com/articles/nature14543

Images:

https://commons.wikimedia.org/wiki/File: Repliee_Q2_face.jpg.

Building NeuroTech Minimally Invasive Human Machine Interfaces | Dr. Connor Glass

Neuralink’s invasive brain implant vs phantom neuro’s minimally invasive muscle implant. Deep dive on brain computer interfaces, Phantom Neuro, and the future of repairing missing functions.

Connor glass.
Phantom is creating a human-machine interfacing system for lifelike control of technology. We are currently hiring skilled and forward-thinking electrical, mechanical, UI, AR/VR, and Ai/ML engineers. Looking to get in touch with us? Send us an email at [email protected].

Phantom Neuro.
Phantom is a neurotechnology company, spun out of the lab at The Johns Hopkins University School of Medicine, that is enabling lifelike control of robotic orthopedic technologies, such as prosthetic limbs and exoskeletons. Phantom’s solution, the Phantom X, consists of low-risk implantable sensors, AI, and enabling software. By providing superior control of robotic orthopedic mechanisms, the Phantom X will drastically improve the lives of individuals with limb difference who have yet to see a tangible improvement in quality of life despite significant advancements in the field of robotics.

Links:
[email protected].
https://www.linkedin.com/in/connor-glass-md-010124141/
https://www.linkedin.com/company/phantomneuro/

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The Learning With Lowell show is a series for the everyday mammal. In this show we’ll learn about leadership, science, and people building their change into the world. The goal is to dig deeply into people who most of us wouldn’t normally ever get to hear. The Host of the show – Lowell Thompson-is a lifelong autodidact, serial problem solver, and founder of startups.
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Timestamps.

Artificial Intelligence & Robotics Tech News For October 2022

Deep Learning AI Specialization: https://imp.i384100.net/GET-STARTED
AI News Timestamps:
0:00 New AI Robot Dog Beats Human Soccer Skills.
2:34 Breakthrough Humanoid Robotics & AI Tech.
5:21 Google AI Makes HD Video From Text.
8:41 New OpenAI DALL-E Robotics.
11:31 Elon Musk Reveals Tesla Optimus AI Robot.
16:49 Machine Learning Driven Exoskeleton.
19:33 Google AI Makes Video Game Objects From Text.
22:12 Breakthrough Tesla AI Supercomputer.
25:32 Underwater Drone Humanoid Robot.
29:19 Breakthrough Google AI Edits Images With Text.
31:43 New Deep Learning Tech With Light waves.
34:50 Nvidia General Robot Manipulation AI
36:31 Quantum Computer Breakthrough.
38:00 In-Vitro Neural Network Plays Video Games.
39:56 Google DeepMind AI Discovers New Matrices Algorithms.
45:07 New Meta Text To Video AI
48:00 Bionic Tech Feels In Virtual Reality.
53:06 Quantum Physics AI
56:40 Soft Robotics Gripper Learns.
58:13 New Google NLP Powered Robotics.
59:48 Ionic Chips For AI Neural Networks.
1:02:43 Machine Learning Interprets Brain Waves & Reads Mind.

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