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Category: robotics/AI – Page 1,450

AI machine learning presents a roadmap to define new materials for any need, with implications in green energy and waste reduction.

Scientists and institutions dedicate more resources each year to the discovery of novel materials to fuel the world. As natural resources diminish and the demand for higher value and advanced performance products grows, researchers have increasingly looked to nanomaterials.

Nanoparticles have already found their way into applications ranging from energy storage and conversion to quantum computing and therapeutics. But given the vast compositional and structural tunability nanochemistry enables, serial experimental approaches to identify new materials impose insurmountable limits on discovery.

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Summary: A new computational method sheds light on the intricacies of brain structure and function.

Source: Baylor College of Medicine.

To better appreciate how a complex organ such as the brain functions, scientists strive to accurately understand both its detailed cellular architecture and the intercellular communications taking place within it.

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Revolutionary new electronic components can be adapted to perform very different tasks – a technology perfectly suited for artificial intelligence.

Normally, computer chips consist of electronic components that always do the same thing. In the future, however, more flexibility will be possible: New types of adaptive transistors can be dynamically switched during run-time to perform different logical tasks. This fundamentally changes the possibilities of chip design and opens up completely new opportunities in the field of artificial intelligence, neural networks or even logic that works with more values than just 0 and 1.

In order to achieve this, scientists at TU Wien (Vienna) did not rely on the usual silicon technology, but on germanium. This was a success: The most flexible transistor in the world has now been produced using germanium. It has been presented in the journal ACS Nano. The special properties of germanium and the use of dedicated program gate electrodes made it possible to create a prototype for a new component that may usher in a new era of chip technology.

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Would you trust AI that has been trained on synthetic data, as opposed to real-world data? You may not know it, but you probably already do — and that’s fine, according to the findings of a newly released survey.

The scarcity of high-quality, domain-specific datasets for testing and training AI applications has left teams scrambling for alternatives. Most in-house approaches require teams to collect, compile, and annotate their own DIY data — further compounding the potential for biases, inadequate edge-case performance (i.e. poor generalization), and privacy violations.

However, a saving grace appears to already be at hand: advances in synthetic data. This computer-generated, realistic data intrinsically offers solutions to practically every item on the list of mission-critical problems teams currently face.

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Traditional robots can have difficulty grasping and manipulating soft objects if their manipulators are not flexible in the way elephant trunks, octopus tentacles, or human fingers can be.

In Applied Physics Reviews, investigators from Shanghai Jiao Tong University in China developed a type of multiple-segment soft manipulator inspired by these . The soft manipulators are based on pneu-nets, which are pneumatically actuated elastomeric structures.

These structures have a tentaclelike shape and consist of a series of connected internal chambers which can be inflated pneumatically, blowing them up like a balloon. One side of the tentacle is highly flexible while the other is stiffer. Increasing air pressure to the chambers causes the to bend toward the stiff side.

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It overcame three significant challenges.

A team of researchers from the University of Technology Sydney’s Faculty of Engineering and IT has created a biosensor that clings to the skin of the face and head to detect electrical signals transmitted by the brain. Then, these signals are translated into commands to control autonomous robotic systems.

The novel biosensor has overcome three major challenges of graphene-based biosensing: corrosion, durability, and skin contact re… See more.

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And it can stay submerged for a very long time.

The U.S. Defense Advanced Research Projects Agency (DARPA) has awarded Phase 2 contracts for its unmanned underwater vehicles (UUVs) program called Manta-Ray, the agency said in a press release.

When it comes to drones, usually aerial vehicles come to our minds. We have covered aerial drones of all sizes, shapes, those that can be recovered, those that are dispensable, and much more. The risk to a soldier’s life in naval operations is no different and therefore, in 2020, DARPA began its Manta-Ray Program.

As DARPA states in the press release, the aim of the program is to develop underwater vehicles that can operate without the need for human intervention, even for purposes of logistical support or maintenance. The UUVs are meant to stay underwater for extended periods of time and therefore also need to have extremely high endurance.

As seen in the concept video above the UUV is expected to operate at the absolute depths of oceans and could also be designed to carry additional payloads that could perform specialized tasks for it. These payloads are recoverable, meaning the UUV needs to have the infrastructure to recharge them and deploy them time and again. In its early version, it appears that the UUV is not expected to have combat roles but that could rapidly change as we have seen with aerial drones in the past.

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Continue reading “Underwater Drones? DARPA’s Manta-Ray Project Just Moved to Phase 2” | >

In Machinia, Damon learns that the robot uprising was the result of the weapons of war simply refusing to wage war. In the article that follows, the UN is already very concerned about autonomous weapons being deployed that do not require human governance. #war, #UN

GENEVA — Countries taking part in UN talks on autonomous weapons stopped short of launching negotiations on an international treaty to govern their use, instead agreeing merely to continue discussions.

The International Committee of the Red Cross and several NGOs had been pushing for negotiators to begin work on an international treaty that would establish legally-binding new rules on the machine-operated weapons.

Unlike existing semi-autonomous weapons such as drones, fully-autonomous weapons have no human-operated “kill switch” and instead leave decisions over life and death to sensors, software and machine processes.

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✅ Instagram: https://www.instagram.com/pro_robots.

You are on the PRO Robots channel and in this video we invite you to find out what is new with Elon Musk, what has been done and what is yet to come. What are the difficulties with the Starlink project and why the problems with the launch of Starship may lead to the bankruptcy of SpaceX, what is new with Tesla, what new products will please the company next year — and this is not just about electric cars! All this and much more in this issue of news from Elon Musk!

0:00 In this video.
0:22 The reason SpaceX may go bankrupt.
1:39 Starship test.
2:07 24 hours of Starbase SpaceX in Texas.
2:33 SpaceX completes work on orbital launch pad.
3:30 Company outlook.
3:59 Starlink deadline pushed back.
5:00 Blue Origin lost a lawsuit against NASA
5:39 Tesla to begin production in Berlin.
6:15 Cybertruck.
7:01 Starlink terminals.
7:24 SolarCity.
7:47 Tesla Smartphones.
8:28 Tesla Dojo supercomputer.

#prorobots #robots #robot #future technologies #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.
https://www.facebook.com/PRO.Robots.Info.

#prorobots #technology #roboticsnews.

Continue reading “Elon Musk Company News | Will Starship problems lead to SpaceX bankruptcy?” | >

Researchers at the Italian Institute of Technology (IIT) have recently been exploring a fascinating idea, that of creating humanoid robots that can fly. To efficiently control the movements of flying robots, objects or vehicles, however, researchers require systems that can reliably estimate the intensity of the thrust produced by propellers, which allow them to move through the air.

As thrust forces are difficult to measure directly, they are usually estimated based on data collected by onboard sensors. The team at IIT recently introduced a new framework that can estimate thrust intensities of flying multibody systems that are not equipped with thrust-measuring sensors. This framework, presented in a paper published in IEEE Robotics and Automation Letters, could ultimately help them to realize their envisioned flying robot.

“Our early ideas of making a flying humanoid robot came up around 2016,” Daniele Pucci, head of the Artificial and Mechanical Intelligence lab that carried out the study, told TechXplore. “The main purpose was to conceive robots that could operate in disaster-like scenarios, where there are survivors to rescue inside partially destroyed buildings, and these buildings are difficult to reach because of potential floods and fire around them.”

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