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Nvidia has made another attempt to add depth to shallow graphics. After converting 2D images into 3D scenes, models, and videos, the company has turned its focus to editing. The GPU giant today unveiled a new AI method that transforms still photos into 3D objects that creators can modify with ease. Nvidia researchers have developed a new inverse rendering pipeline, Nvidia 3D MoMa that allows users to reconstruct a series of still photos into a 3D computer model of an object, or even a scene. The key benefit of this workflow, compared to more traditional photogrammetry methods, is its ability to output clean 3D models capable of being imported and edited out-of-the-box by 3D gaming and visual engines.

According to reports, other photogrammetry programs will turn 2D images into 3D models, Nvidia’s 3D MoMa technology takes it a step further by producing mesh, material, and lighting information of the subjects and outputting it in a format that’s compatible with existing 3D graphics engines and modeling tools. And it’s all done in a relatively short timeframe, with Nvidia saying 3D MoMa can generate triangle mesh models within an hour using a single Nvidia Tensor Core GPU.

David Luebke, Nvidia’s VP of graphics research, describes the technique with India Today as “a holy grail unifying computer vision and computer graphics.”

https://youtube.com/watch?v=YEMzfMfLtmY&feature=share

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You’re on PRO Robots and in this issue we’re going to talk about the best military drones of the 21st century. Today, more than 100 countries are developing military drones, constantly innovating to make them faster, more powerful and smarter. Drones are used for reconnaissance, surveillance, target detection, munitions delivery, and enemy strikes. The vehicles can fly autonomously or be operated by an operator, return to the base or play the role of a kamikaze. See an overview of the best military drones and trends in the development of combat drones in one video!

0:00 Intro.
0:39 Drone Development.
1:20 Northrop Grumman.
2:02 Aksungur drone.
2:56 Drone MQ-20 Avenger.
3:44 The Hermes 900 Drone.
4:40 Heron TP
5:27 Chinese Drone HongDu GJ-11 Sharp Sword.
6:06 CASC Rainbow.
6:58 Drone MQ-9 Reaper.
7:58 CAIG Wing Loong II
8:46 Drone X-47B
9:31 Russian drone S-70 «Hunter»
10:41 Results.

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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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Raytheon Intelligence & Space’s high-energy laser systems use photons, or particles of light, to carry out military missions and civil defense. This directed energy technology enables detection of threats, tracking during maneuvers, and positive visual identification to defeat a wide range of threats, including unmanned aerial systems, rockets, artillery and mortars.


Raytheon Intelligence & Space’s laser solutions are a set of technologies that use photons, or particles of light, to carry out military missions. They measure distance, designate targets and can defeat a wide range of threats, including UAS.

A camera system developed by Carnegie Mellon University researchers can see sound vibrations with such precision and detail that it can reconstruct the music of a single instrument in a band or orchestra.

Even the most high-powered and directed microphones can’t eliminate nearby sounds, ambient noise and the effect of acoustics when they capture audio. The novel system developed in the School of Computer Science’s Robotics Institute (RI) uses two cameras and a laser to sense high-speed, low-amplitude surface vibrations. These vibrations can be used to reconstruct , capturing isolated audio without inference or a microphone.

“We’ve invented a new way to see sound,” said Mark Sheinin, a post-doctoral research associate at the Illumination and Imaging Laboratory (ILIM) in the RI. “It’s a new type of , a new imaging device, that is able to see something invisible to the naked eye.”

Oh joy. I’d ask snarkaly what could possibly go wrong, but in this case going right IS going wrong, so… 🤯


Chinese scientists have reportedly developed and tested a device that aims to help online censors better police pornography in the country.

Researchers at Beijing Jiaotong University in China created a helmet that can track the brain waves of its wearers. The scientists published their findings in the domestic peer-reviewed Journal of Electronic Measurement and Instrumentation earlier this month.

In China, where watching porn is illegal, the government employs mostly women as so-called porn appraisers, or “jian huang shi,” who screen online photo and video content. These human censors make use of artificial intelligence (A.I.) to help them in flagging explicit content faster.

New technologies have the potential to greatly simplify the lives of humans, including those of blind individuals. One of the most promising types of tools designed to assist the blind are visual prostheses.

Visual prostheses are that can be implanted in the brain. These devices could help to restore vision in people affected by different types of blindness. Despite their huge potential, most existing visual prostheses achieved unimpressive results, as the vision they can produce is extremely rudimentary.

A team of researchers a University of California, Santa Barbara recently developed a that could significantly enhance the performance of visual prostheses, as well as other sensory neuroprostheses (i.e., devices aimed at restoring lost sensory functions or augmenting human abilities). The model they developed, presented in a paper pre-published on arXiv, is based on the use of a neural autoencoder, a brain-inspired architecture that can discover specific patterns in data and create representations of them.

Algorithms, Shor’s Quantum Factoring Algorithm for breaking RSA Security, and the Future of Quantum Computing.

▬ In this video ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
I talk about my PhD research at MIT in Quantum Artificial Intelligence. I also explain the basic concepts of quantum computers, and why they are superior to conventional computers for specific tasks. Prof. Peter Shor, the inventor of Shor’s algorithm and one of the founding fathers of Quantum Computing, kindly agreed to participate in this video.

▬ Follow me ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
LinkedIn: https://www.linkedin.com/in/samuel-bosch/
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▬ Credits ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
Some of the animations were taken from “Quanta Magazine” (Quantum Computers, Explained With Quantum Physics): https://www.youtube.com/channel/UCTpmmkp1E4nmZqWPS-dl5bg.

Other animations are from “Josh’s Channel” (How Quantum Computers Work): https://www.youtube.com/channel/UCnNEI3UdreSoQ6XUNcKoUeg.

The quantum circuit animations are from “Kurzgesagt – In a Nutshell” (Quantum Computers Explained – Limits of Human Technology): https://www.youtube.com/channel/UCsXVk37bltHxD1rDPwtNM8Q