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Category: robotics/AI – Page 1,299

Video on prosthetic Esper hand.

New York-based engineering startup Esper Bionics has developed a flexible prosthetic mind-controlled hand that learns how to suggest the best grip faster than similar prosthetics.
Esper Bionics’ robotic arm is designed to be lighter and learn faster than many of the prosthetics currently available for amputees. The more the wearer uses the hand, the better and quicker it is to suggest the right grip.

Called Esper Hand, the arm uses an electromyography-based brain-computer interface (BCI) – a computer-based technology system that gathers brain signals and information from nerve stimulation of the muscle.

Over 30 sensors on the wearer’s forearm and shoulder skin pick up on this muscle activity or “electrical cues” and relay the information to trigger an action in the hand.

Read more on Dezeen: https://www.dezeen.com/?p=1768536

Continue reading “Esper Hand is a “human-like” prosthetic arm that can be controlled by the mind” | >

Is LaMDA at Google sentient? Is the current state of the art AI showing signs of having qualia? The phenomenal binding problem asks us to consider, ‘how can huge set of discrete neurons form a unified mind?’ Is topological binding a requirement for AI to be sentient?

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The scientific world has long acknowledged that proving mathematical theorems is an essential first step in developing artificial intelligence. To prove the truth or falsity of a conjecture, one must use symbolic thinking and sort through an unlimited number of alternatives. These tasks are beyond the capabilities of even the most sophisticated AI systems.

The state of the art in artificial intelligence today is to create machines that can “solve at once” or come up with a whole answer to a problem in a single go. However, this is not how most individuals approach difficult situations. Mathematical reasoning is significantly more challenging to formalize and measure.

Meta AI has made an important development at the intersection of artificial intelligence and mathematics. The neural theorem prover developed by the team has completed five times as many IMO problems as any other AI system before it, totaling ten. Concerning miniF2F, a popular mathematics test, the AI model outperforms the state of art by 20% and outperforms Metamath by 10%.

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Imagine a robot that could find human beings after a natural disaster because it has a mosquito’s ability to sense human sweat. Shoji Takeuchi of the University of Tokyo has already made a robotic finger that includes living tissue – here he explores possible applications of combining biological material with artificial materials in robotic systems.

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The U.S. Space Force has a mini-fleet of two robotic X-37B space planes, which have been flying secret missions since 2010.

The most recent mission, called OTV-6, launched in May 2020 and is ongoing. As that name suggests, it’s the sixth flight for the robotic X-37B, which is also known as the Orbital Test Vehicle (OTV). The other five OTV missions launched in April 2010, March 2011, December 2012, May 2015 and September 2017.

We’ve assembled 10 surprising facts about the military space plane for you. Just click the arrows to launch to the next page and enjoy.

US military’s X-37B space plane lands, ending record-breaking mystery mission.

https://www.space.com/space-force-x-37b-space-plane-otv-6-mission-ends

Learn all about the U.S. Space Force’s robotic X-37B space plane, which has flown six mystery missions to date.

Continue reading “The US Space Force’s secretive X-37B space plane: 10 surprising facts” | >

DeviantArt faced backlash Friday after the popular art website introduced a brand-new Artificial Intelligence tool that would allow systems to generate works of art on their own.

The AI — which is being called DreamUp — is meant to push for “safe and fair” AI image generation for DeviantArt users, reports Endgadget.

“AI technology for creation is a powerful force we can’t ignore,” said DeviantArt CEO Moti Levy.

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Generative AI models for businesses threaten to upend the world of content creation, with substantial impacts on marketing, software, design, entertainment, and interpersonal communications. These models are able to produce text and images: blog posts, program code, poetry, and artwork. The software uses complex machine learning models to predict the next word based on previous word sequences, or the next image based on words describing previous images. Companies need to understand how these tools work, and how they can add value.

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.342234 data-title= How Generative AI Is Changing Creative Work data-url=/2022/11/how-generative-ai-is-changing-creative-work data-topic= data-authors= Thomas H. Davenport; Nitin Mittal data-content-type= Digital Article data-content-image=/resources/images/article_assets/2022/11/Nov22_14_1364531717-383x215.jpg data-summary=

It may soon be standard practice for AI tools — such as GPT-3 and DALL-E — to provide first drafts of emails, articles, reports, blog posts, presentations, videos, and more.

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Orbit, an interactive robot, helps teach children on the autism spectrum to develop social appropriateness and emotion via storytelling, physical interaction, and visual communication.

The hand-sized robot smiles and encourages users to press a button on its back, reacting with a beaming smile if pressed gently, and with a sad face if the interaction is too hard.

Hey there. Allow me to introduce you to your new companion, Orbit, a robot you can play with and listen to.

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Omiefe Africa’s first humanoid robot has been built by a Nigerian company, Uniccon.

As the world takes a U-turn in inventions ranging from smartphones, and drones, and now with the latest inventions of humanoid (robots).

The humanoid robot was unveiled at the world’s biggest technology event, Gitex, which took place at Dubai World Trade Centre, from October 10th to 14th.

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In a study recently published in Nature Materials, Prof. Wang Shutao from the Technical Institute of Physics and Chemistry (TICP) of the Chinese Academy of Sciences (CAS) and Prof. Liu Huan from Beihang University revealed the secret of ultra-slow motion of pine cones and developed mimicking actuators enabling unperceivable motion.

Responsive actuators have attracted extensive attention by virtue of their great potential applications in flexible robotics, sensors, energy conversion and other fields. Pine cones are a well-known bionic model for constructing artificial actuators.

However, little attention has been paid to the fact that the hygroscopic motion of pine cones is an ultra-slow process. Hygroscopic deformation has long been attributed to the uneven hygroscopic expansion of vascular bundles (VBs) and sclereids, controlled by their different microfibril orientations. The mechanism cannot explain the observation that VBs themselves are capable of reversible hygroscopic motion. Therefore, the mechanism of ultra-slow motion in pine cones has long been unclear.

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