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You’re on the PRO Robots channel, and today we’re bringing you some high-tech news. Robots from Boston Dynamics will get advanced artificial intelligence, neural networks will be able to translate the language of all animals, incredibly fast nanorobots will travel inside the human body, a robot-surgeon will perform an operation on the ISS. See these and other technology news in one video right now!

0:00 Intro.
0:28 Robots from Boston Dynamics get advanced artificial intelligence.
1:52 AI will never be intelligent.
2:50 Earth Species Project hopes to develop a neural network that can decipher animal language.
3:16 Species Project decides to go around and create an algorithm.
4:07 A gadget to control your smart home with your mind.
5:04 Nanobots.
5:19 The world’s fastest bowel robot.
6:10 Robots will join the U.S. space forces.
6:47 Surgical robot to be tested on ISS
7:37 GITAI News.
7:59 The first launch in NASA’s Artemis lunar mission.
8:34 Super Heavy rocket successfully passes first static firing test.
8:57 Gigafactory in Canada.
9:22 Baidu says its Jidu robot car autopilot will be a generation ahead of Tesla’s autopilot.
10:02 A system that can calculate the optimal end design and calculate the best trajectory for grabbing objects of any shape.
10:25 A drone to search for gold and jewelry.
11:22 Engineers have trained a drone with 12 rotary screws to manipulate objects.
#prorobots #robots #robot #futuretechnologies #robotics.

More interesting and useful content:
✅ Elon Musk Innovation https://www.youtube.com/playlist?list=PLcyYMmVvkTuQ-8LO6CwGWbSCpWI2jJqCQ
✅Future Technologies Reviews https://www.youtube.com/playlist?list=PLcyYMmVvkTuTgL98RdT8-z-9a2CGeoBQF
✅ Technology news.
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Research led by Sanford Burnham Prebys professor Francesca Marassi, Ph.D., is helping to reveal the molecular secrets of macular degeneration, which causes almost 90% of all age-related vision loss.

The study, published recently in the Biophysical Journal, describes the flexible structure of a key blood protein involved in macular degeneration and other age-related diseases, such as Alzheimer’s and atherosclerosis.

“Proteins in the blood are under constant and changing pressure because of the different ways blood flows throughout the body,” says Marassi. “For example, blood flows more slowly through small blood vessels in the eyes compared to larger arteries around the heart. Blood proteins need to be able to respond to these changes, and this study gives us fundamental truths about how they adapt to their environment, which is critical to targeting those proteins for future treatments.”

Researchers in China show that a technique used to replace diseased mitochondria does not affect early development.

Researchers are working on an injectable that could get dormant follicles growing again. Trials on mice show promise.

Scientists at McMaster University have identified a toxin used by bacteria to kill other bacteria through a never-before-seen mechanism. The toxin is the first found to directly target RNA molecules in what the team describes as “a total assault on the cell,” which could lead to a new class of antibiotics.

There’s a huge war raging on the microscopic scale as microbes battle each other for resources, and sometimes the weapons they use against each other can prove useful for antibiotics. Most of these toxins target proteins or DNA molecules, killing bacteria by interrupting vital functions.

So that’s the checklist that the team ran through while studying a toxin called RhsP2 that’s produced by Pseudomonas aeruginosa, a common bug behind hospital-acquired infections like pneumonia. Over three years, the researchers investigated the effects of the toxin on these common targets, to no avail.

Background: Breast cancer is one of the most common cancers and the leading cause of death from cancer among women worldwide. The genetic predisposition to breast cancer may be associated with a mutation in particular genes such as gene BRCA1/2. Patients who carry a germline pathogenic mutation in BRCA1/2 genes have a significantly increased risk of developing breast cancer and might benefit from targeted therapy. However, genetic testing is time consuming and costly. This study aims to predict the risk of gBRCA mutation by using the whole-slide pathology features of breast cancer H&E stains and the patients’ gBRCA mutation status.

Methods: In this study, we trained a deep convolutional neural network (CNN) of ResNet on whole-slide images (WSIs) to predict the gBRCA mutation in breast cancer. Since the dimensions are too large for slide-based training, we divided WSI into smaller tiles with the original resolution. The tile-based classification was then combined by adding the positive classification result to generate the combined slide-based accuracy. Models were trained based on the annotated tumor location and gBRCA mutation status labeled by a designated breast cancer pathologist. Four models were trained on tiles cropped at 5×, 10×, 20×, and 40× magnification, assuming that low magnification and high magnification may provide different levels of information for classification.

Results: A trained model was validated through an external dataset that contains 17 mutants and 47 wilds. In the external validation dataset, AUCs (95% CI) of DL models that used 40×, 20×, 10×, and 5× magnification tiles among all cases were 0.766 (0.763–0.769), 0.763 (0.758–0.769), 0.750 (0.738–0.761), and 0.551 (0.526–0.575), respectively, while the corresponding magnification slides among all cases were 0.774 (0.642–0.905), 0.804 (0.676–0.931), 0.828 (0.691–0.966), and 0.635 (0.471–0.798), respectively. The study also identified the influence of histological grade to the accuracy of the prediction.

Tiny machines that deliver therapeutic payloads to precise locations in the body are the stuff of science fiction. But some researchers are trying to turn them into a clinical reality.

Researchers demonstrated that the brains of people playing an online game together were synchronized without physical presence.

Online gaming and other types of online social interaction have become increasingly popular during the COVID pandemic. This trend is likely to continue due to increased remote working and investments in social technology.

Previous research has shown that people’s brains activate in a similar and simultaneous way during social interaction. Such inter-brain neural synchronization has been associated with empathy and cooperation in face-to-face situations. However, its role in online, remote interaction has remained unknown.

Assistant Professor Ariel Furst and her colleagues are looking to DNA to help guide the process.

Carbon dioxide (CO₂) is a major contributor to climate change and a significant product of many human activities, notably industrial manufacturing. A major goal in the energy field has been to chemically convert emitted CO₂ into valuable chemicals or fuels. But while CO₂ is available in abundance, it has not yet been widely used to generate value-added products. Why not?

The reason is that CO₂ molecules are highly stable and therefore not prone to being chemically converted to a different form.

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