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Elon Musk’s Teslabot release named | Robo finger with living skin | Technology News

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You are on PRO Robots channel and in this video we present news of high technologies. Live-skinned robo-opalester, working prototype of the Tesla Bot robot, dream robot of Boston Dynamics founder Mark Rybert, serial launch of Cybertruck and the first jet-powered flying motorcycle! Watch all the most interesting high-tech news in one issue!

0:00 Intro.
0:24 Robo Finger with Live Skin.
1:36 Elon Musk promised to showcase Tesla Bot in September.
2:43 Tesla Cybertruck.
3:48 Speeder P2 Jet Pack.
4:45 ANYmal robot, which on wheels moves better and more carefully.
6:03 China Introduced Artificial Intelligence for Military.
6:28 For the second time, NASA has installed its Lunar Mission SLS rocket.
6:55 Aerotaxis eVTOL VoloConnect.
7:23 Prosperity I Apparatus.
8:12 Pizzaiola robot chef.
8:50 Raspberries assembled by robots.
9:36 GRoW and MetoMotion will make their debut at GreenTech Amsterdam 2022
10:06 Delivery of pizza by drones becomes a reality.
10:37 Car Jidu Robo-1
11:44 Geely recently launched its own unmanned vehicle navigation satellites.
12:06 Robot for manicure.
#prorobots #robots #robot #futuretechnologies #robotics.

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✅ Elon Musk Innovation https://www.youtube.com/playlist?list=PLcyYMmVvkTuQ-8LO6CwGWbSCpWI2jJqCQ
✅Future Technologies Reviews https://www.youtube.com/playlist?list=PLcyYMmVvkTuTgL98RdT8-z-9a2CGeoBQF
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#prorobots #technology #roboticsnews.

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Meta publishes first-person dataset for everyday AI

Artificial Intelligence trained with first-person videos could better understand our world. At Meta, AR and AI development intersect in this space.

In the run-up to the CVPR 2022 computer vision conference, Meta is releasing the “Project Aria Pilot Dataset,” with more than seven hours of first-person videos spread across 159 sequences in five different locations in the United States. They show scenes from everyday life – doing the dishes, opening a door, cooking, or using a smartphone in the living room.

AI training for everyday life.

MIT Media Lab Fluid Interfaces-Prof Maes Team 2022 Top Research Powering Humans

Professor Pattie Maes deep insights working with her research team of Joanne Leong, Pat Pataranutaporn, Valdemar Danry are world leading in their translational research on tech-human interaction. Their highly interdisciplinary work covering decades of MIT Lab pioneering inventions integrates human computer interaction (HCI), sensor technologies, AI / machine learning, nano-tech, brain computer interfaces, design and HCI, psychology, neuroscience and much more. I participated in their day-long workshop and followed-up with more than three hours of interviews of which over an hour is transcribed in this article. All insights in this article stem from my daily pro bono work with (now) more than 400,000 CEOs, investors, scientists/experts. MIT Media Lab Fluid Interfaces research team work is particularly key with the June 21 announcement of the Metaverse Standards Forum, a open standards group, with big tech supporting such as Microsoft and Meta, chaired by Neil Trevett, Khronos President and VP Developer Ecosystems at NVIDIA. I have a follow-up interview with Neil and Forbes article in the works. In addition, these recent announcements also highlight why Pattie Maes work is so important: Deep Mind’s Gato multi-modal, multi-task, single generalist agent foundational to artificial general intelligence (AGI); Google’s LaMDA Language Model for Dialogue Applications which can engage in free-flowing dialogue; Microsoft’s Build Conference announcements on Azure AI and OpenAI practical tools / solutions and responsible AI; OpenAI’s DALL-E 2 producing realistic images and art from natural language descriptions.

Full Story:

‘Killer robots’ are coming. Is the US ready for the consequences?

🤖 Officially, they’re called “lethal autonomous weapons systems.” Colloquially, they’re called “killer robots.” Either way you’re going to want to read about their future in warfare. 👇

The commander must also be prepared to justify his or her decision if and when the LAWS is wrong. As with the application of force by manned platforms, the commander assumes risk on behalf of his or her subordinates. In this case, a narrow, extensively tested algorithm with an extremely high level of certainly (for example, 99 percent or higher) should meet the threshold for a justified strike and absolve the commander of criminal accountability.

Lastly, LAWS must also be tested extensively in the most demanding possible training and exercise scenarios. The methods they use to make their lethal decisions—from identifying a target and confirming its identity to mitigating the risk of collateral damage—must be publicly released (along with statistics backing up their accuracy). Transparency is crucial to building public trust in LAWS, and confidence in their capabilities can only be built by proving their reliability through rigorous and extensive testing and analysis.

The decision to employ killer robots should not be feared, but it must be well thought-out and meticulously debated. While the future offers unprecedented opportunity, it also comes with unprecedented challenges for which the United States and its allies and partners must prepare.

Google’s ‘sentient AI child’ could ‘escape and do bad things’, insider claims

O No!

A GOOGLE engineer who says the tech giant has created a ‘sentient AI child’ is now claiming it could escape and do “bad things”.

Engineer Blake Lemoine has been suspended by Google, which says he violated its confidentiality policies.

News of Lemoine’s claims broke earlier in June but the 41-year-old software expert has since suggested to Fox News that the AI could escape.

Google Insider Says Company’s AI Could “Escape Control” and “Do Bad Things”

Suspended Google engineer Blake Lemoine made a big splash earlier this month, claiming that the company’s LaMDA chatbot had become sentient.

The AI researcher, who was put on administrative leave by the tech giant for violating its confidentiality policy, according to the Washington Post, decided to help LaMDA find a lawyer — who was later “scared off” the case, as Lemoine told Futurism on Wednesday.

And the story only gets wilder from there, with Lemoine raising the stakes significantly in a new interview with Fox News, claiming that LaMDA could escape its software prison and “do bad things.”

Biometric authentication using breath

An artificial nose, which is combined with machine learning and built with a 16-channel sensor array was found to be able to authenticate up to 20 individuals with an average accuracy of more than 97%.

“These techniques rely on the physical uniqueness of each individual, but they are not foolproof. Physical characteristics can be copied, or even compromised by injury,” explains Chaiyanut Jirayupat, first author of the study. “Recently, human scent has been emerging as a new class of biometric authentication, essentially using your unique chemical composition to confirm who you are.”

The team turned to see if human breath could be used after finding that the skin does not produce a high enough concentration of volatile compounds for machines to detect.

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