Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: robotics/AI – Page 1,632

Does AI need a body? | John Carmack and Lex Fridman

Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=I845O57ZSy4
Please support this podcast by checking out our sponsors:
- InsideTracker: https://insidetracker.com/lex to get 20% off.
- Indeed: https://indeed.com/lex to get $75 credit.
- Blinkist: https://blinkist.com/lex and use code LEX to get 25% off premium.
- Eight Sleep: https://www.eightsleep.com/lex and use code LEX to get special savings.
- Athletic Greens: https://athleticgreens.com/lex and use code LEX to get 1 month of fish oil.

GUEST BIO:
John Carmack is a legendary programmer, co-founder of id Software, and lead programmer of many revolutionary video games including Wolfenstein 3D, Doom, Quake, and the Commander Keen series. He is also the founder of Armadillo Aerospace, and for many years the CTO of Oculus VR.

PODCAST INFO:
Podcast website: https://lexfridman.com/podcast.
Apple Podcasts: https://apple.co/2lwqZIr.
Spotify: https://spoti.fi/2nEwCF8
RSS: https://lexfridman.com/feed/podcast/
Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4
Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41

SOCIAL:
- Twitter: https://twitter.com/lexfridman.
- LinkedIn: https://www.linkedin.com/in/lexfridman.
- Facebook: https://www.facebook.com/lexfridman.
- Instagram: https://www.instagram.com/lexfridman.
- Medium: https://medium.com/@lexfridman.
- Reddit: https://reddit.com/r/lexfridman.
- Support on Patreon: https://www.patreon.com/lexfridman

New AI-enabled, optical fiber sensor device could help monitor brain injury

A new AI-enabled, optical fiber sensor device developed at Imperial College London can measure key biomarkers of traumatic brain injury simultaneously.

The “promising” results from tests on animal tissues suggest it could help clinicians to better monitor both and patients’ response to treatment than is currently possible, which indicate the high potential for future diagnostic trials in humans.

People who experience a serious blow to the head, such as during road traffic accidents, can suffer (TBI)—a leading cause of death and disability worldwide that can result in long-term difficulties with memory, concentration and solving problems.

Innovative “Nano-Robot” Built Entirely From DNA To Explore Microscopic Biological Processes

Constructing a tiny robot out of DNA

DNA, or deoxyribonucleic acid, is a molecule composed of two long strands of nucleotides that coil around each other to form a double helix. It is the hereditary material in humans and almost all other organisms that carries genetic instructions for development, functioning, growth, and reproduction. Nearly every cell in a person’s body has the same DNA. Most DNA is located in the cell nucleus (where it is called nuclear DNA), but a small amount of DNA can also be found in the mitochondria (where it is called mitochondrial DNA or mtDNA).

You should fear Super Stupidity, not Super Intelligence

I have been invited to participate in a quite large event in which some experts and I (allow me to not consider myself one) will discuss about Artificial Intelligence, and, in particular, about the concept of Super Intelligence.

It turns out I recently found out this really interesting TED talk by Grady Booch, just in perfect timing to prepare my talk.

No matter if you agree or disagree with Mr. Booch’s point of view, it is clear that today we are still living in the era of weak or narrow AI, very far from general AI, and even more from a potential Super Intelligence. Still, Machine Learning bring us with a great opportunity as of today. The opportunity to put algorithms to work together with humans to solve some of our biggest challenges: climate change, poverty, health and well being, etc.

A neural network–based strategy to enhance near-term quantum simulations

Near-term quantum computers, quantum computers developed today or in the near future, could help to tackle some problems more effectively than classical computers. One potential application for these computers could be in physics, chemistry and materials science, to perform quantum simulations and determine the ground states of quantum systems.

Some quantum computers developed over the past few years have proved to be fairly effective at running . However, near-term quantum computing approaches are still limited by existing hardware components and by the adverse effects of background noise.

Researchers at 1QB Information Technologies (1QBit), University of Waterloo and the Perimeter Institute for Theoretical Physics have recently developed neural , a new strategy that could improve ground state estimates attained using quantum simulations. This strategy, introduced in a paper published in Nature Machine Intelligence, is based on machine-learning algorithms.

Google Gave Its Helper Robots AI Language Skills to Better Work With Humans

People have been dreaming of robot butlers for decades, but one of the biggest barriers has been getting machines to understand our instructions. Google has started to close the gap by marrying the latest language AI with state-of-the-art robots.

Human language is often ambiguous. How we talk about things is highly context-dependent, and it typically requires an innate understanding of how the world works to decipher what we’re talking about. So while robots can be trained to carry out actions on our behalf, conveying our intentions to them can be tricky.

If they have any ability to understand language at all, robots are typically designed to respond to short, specific instructions. More opaque directions like “I need something to wash these chips down” are likely to go over their heads, as are complicated multi-step requests like “Can you put this apple back in the fridge and fetch the chocolate?”

Microsoft’s New AI: Virtual Humans Became Real! 🤯

❤️ Check out Runway and try it for free here: https://runwayml.com/papers/

📝 The paper “3D Face Reconstruction with Dense Landmarks” is available here:
https://microsoft.github.io/DenseLandmarks/

🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible:
Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Ivo Galic, Jace O’Brien, Jack Lukic, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi.
If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers.

Chapters:
0:00 — Teaser.
0:19 — Use virtual worlds!
0:39 Is that a good idea?
1:28 Does this really work?
1:51 Now 10 times more!
2:13 Previous method.
2:35 New method.
3:15 It gets better!
3:52 From simulation to reality.
4:35 “Gloves“
5:07 How fast is it?
5:35 VS Apple’s ARKit.
6:25 Application to DeepFakes.

Thumbnail background design: Felícia Zsolnai-Fehér — http://felicia.hu.

Károly Zsolnai-Fehér’s links:

Continue reading “Microsoft’s New AI: Virtual Humans Became Real! 🤯” | >
/* */