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You are on the PRO Robots channel and today we present you with some high-tech news. The first robot with self-awareness, a new breakthrough in the creation of general artificial intelligence, evolving robots, a Japanese home for a space colony, an unexpected turn in the fate of XPENG Robotics and other news from the world of high technology in one issue! Let’s roll!

0:00 In this video.
0:24 The first robot with self-awareness.
1:18 The first orbital flight of a prototype Starship.
1:56 PLATO algorithm.
3:00 New robot learning system.
3:53 Electronic skin for robots.
4:30 XPENG Robotics four-legged robot.
5:09 Artificial gravity architecture.
6:06 Project LINA — Lunar Outpost.
7:06 Electronic glove with suction cups.
7:52 Suspended system in a thermovacuum chamber.
8:28 Network of underground tunnels for unmanned cargo delivery.
9:29 Mass layoffs at Pudu Robotics.
10:12 Virtual organisms.
10:49 Engineers taught robotic arms to react unpredictably to dancers’ movements and music.
11:13 Quokka Robotics Cafe.
#prorobots #robots #robot #futuretechnologies #robotics.

More interesting and useful content:

-Chapters
0:00 Kardashev scale.
1:55 Level.
03:11 Level 1 (planetary civilization)
4:48 Level 2 (stellar civilization)
6:38 Level 3 (galactic civilization)
8:09 Level 4 (universal civilization)
9:55 Level 5 (multiversal civilization)
11:15 Level 6 (multidimensional civilization)
12:26 Level 7 (creator civilization)

Email: [email protected].

#civilization.
#universe.
#Kardashev scale.
#type 1 civilization.
#type 2 civilization.
#type 3 civilization.
#type 4 civilization.
#type 5 civilization.
#type 6 civilization.
#type 7 civilization.

Videos and music licensed via.

Welcome to one of the world’s most remote construction projects.
For more by The B1M subscribe now — https://bit.ly/the-b1m.

Full story here — https://theb1m.com/video/faroe-islands-worlds-first-undersea-roundabout.

Narrator — Fred Mills.
Producer — Jaden Urbi.
Video Editing and Graphics — Jim Casey.
Executive Producers — Fred Mills and James Durkin.

Our thanks to Visit Faroe Islands. Additional footage and images courtesy of Kringvarp FĂžroya, P/F Eystur-og Sandoyartunlar, Alexandar Vujadinovic, Rasmus SteintĂłrsson BiskopstĂž and Niels JĂłhan SigurĂ°sson.

This week our guest academic philosopher, Susan Schneider, who is the founding director for the Center for the Future Mind at Florida Atlantic University, as well as the author of the 2019 book, Artificial You: AI and the Future of Your Mind. In this episode we focus heavily on Susan’s thoughts, hopes, and concerns surrounding the current conversations regarding artificial intelligence. This includes, but is certainly not limited to, the philosophical and ethical questions that AI presents in general, the feasibility of mind uploading and machine consciousness, the ways we may end up outsourcing our decision making to machines, how we might merge with machines, and how these potential tech futures might impact identity and sense of self. You can learn more about Susan at schneiderwebsite.com, and find out how to get involved with her work at fau.edu/future-mind ** Host: Steven Parton — LinkedIn / Twitter Music by: Amine el Filali.

41 MINS

Using GPT-3, Calamity AI developed a short film script called Date Night. GPT-3 is the third generation Generative Pre-trained Transformer, is a neural network ML model trained using internet data to generate any type of text. GPT-3 has been used to create articles, poetry, stories, news reports, and dialogue using just a small amount of input text that can be used to produce large amounts of quality content. Developed by OpenAI, it requires a small amount of input text to generate large volumes of relevant and sophisticated machine-generated text.

Enter Calamity AI, a pair of film students in California collaborating with an AI to write original short films and produce for YouTube. It aims to showcase the results of AI and humans working in tandem. The limitations of artificial intelligence restrict it from doing every element of the filmmaking process.

A machine-learning algorithm that includes a quantum circuit generates realistic handwritten digits and performs better than its classical counterpart.

Machine learning allows computers to recognize complex patterns such as faces and also to create new and realistic-looking examples of such patterns. Working toward improving these techniques, researchers have now given the first clear demonstration of a quantum algorithm performing well when generating these realistic examples, in this case, creating authentic-looking handwritten digits [1]. The researchers see the result as an important step toward building quantum devices able to go beyond the capabilities of classical machine learning.

The most common use of neural networks is classification—recognizing handwritten letters, for example. But researchers increasingly aim to use algorithms on more creative tasks such as generating new and realistic artworks, pieces of music, or human faces. These so-called generative neural networks can also be used in automated editing of photos—to remove unwanted details, such as rain.

The recent James Webb Space Telescope(JWST) guide camera’s test image looks really similar to Hubble’s deep fields, which are my favorite. I decided to take a long exposure to the same target to see what my telescope can see and compare it to JWST’s image. I found one really faint galaxy 26–32 million light-years away, and a cute planetary nebula called Abell 39, pause and see if you can find it in my image.

- Scope: Celestron RASA 8.
- Mount: Ioptron cem40.
- Camera: ZWO ASI183mm pro.
- Guide scope: ZWO mini120mm.
- Guide Camera: ZWO ASI224mc.
- Filter: Astronomik MaxFR 12nm Ha filter.

NASA article: https://www.nasa.gov/image-feature/countdown-to-the-webb-telescopes-first-images.

More of my astrophotography work on Instagram.

Head to https://www.squarespace.com/marcushouse to save 10% off your first purchase of a website or domain using code MARCUSHOUSE

Quite the inspirational week this one with the complete set of JWST First Images. Loads of Starship and Starbase news. Last week I mentioned that it was fire time for Starbase, and
WOW
 I was not wrong there. SpaceX’s Starship Booster 7 has gone for repair after explosion. Falcon 9 launches for both Starlink and finally CRS-25. We also had the very first launch of Vega C. Rocket Lab firing off another Electron, and more. So enough of this intro. Let’s crack on with it!

Everyday Astronaut — Elon Musk Explains SpaceX’s Raptor Engine!

End Screen Music — Isle of Rain by Savfk.