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Category: cyborgs – Page 10

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In this video, we explore 20 emerging technologies changing our future, including super-intelligent AI companions, radical life extension through biotechnology and gene editing, and programmable matter. We also cover advancements in flying cars, the quantum internet, autonomous AI agents, and other groundbreaking innovations transforming the future.

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00:07 Super Intelligent AI Companions.
04:27 Radical Life Extension.
08:40 Programmable Matter.
11:33 Flying Cars.
16:29 Quantum Internet.
20:34 Autonomous AI Agents.
25:21 Hypersonic Aircraft And Missiles.
29:19 Invisibility Suits.
33:45 Human Brain Simulations.
37:02 Synthetic Biology.
40:54 AI-Enabled Warfare.
44:58 Solar Sail Technology.
49:42 Bionic Eyes.
53:20 Swarm Robotics.
56:40 Room-Temperature Superconductors.
01:01:42 Optical Computing.
01:05:59 Graphene Technology.
01:11:01 Artificial Trees.
01:15:07 Web 3.0
01:18:03 Vertical Farming.

💡 Future Business Tech explores AI, emerging technologies, and future technologies.

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In this study we show that residual muscle–tendon afferents enable a person with transtibial amputation to directly neuromodulate biomimetic locomotion, enabling neuroprosthetic adaptations to varying walking speeds, terrains and perturbations. Such versatile and biomimetic gait has not been attainable in contemporary bionic legs without the reliance upon predefined intrinsic control frameworks1,2. Central to the improved neural controllability demonstrated in this study are muscle–tendon sensory organs26,27 that deliver proprioceptive afferents. The surgically reconstructed, agonist–antagonist muscles emulate natural agonistic contraction and antagonistic stretch, thereby generating proprioceptive afferents corresponding to residual muscle movements.

During the ground contact phase of walking, the reconstructed muscle–tendon dynamics of the AMI do not precisely emulate intact biological muscle dynamics. The residual muscles of the AMI contract and stretch freely within the amputated residuum, only pulling against one another and not against the external environment. In distinction, for intact biological limbs, the muscle–tendons span the ankle joint, exerting large forces through an interaction with the external environment. These interactive muscle–tendon dynamics in intact biological limbs are believed to play a critical role in spinal reflexes, in addition to providing feedback for volitional motor control12. Therefore, for this study, the demonstrated capacity of augmented afferents to enable biomimetic gait neuromodulation is surprising given that their total magnitude is largely reduced compared with those of intact biological limbs26,27,45,46.

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This fleshy, pink smiling face is made from living human skin cells, and was created as part of an experiment to let robots show emotion.

How would such a living tissue surface, whatever its advantages and disadvantages, attach to the mechanical foundation of a robot’s limb or “face”?

In humans and…

A team of scientists unveiled a robot face covered with a delicate layer of living skin that heals itself and crinkles into a smile in hopes of developing more human-like cyborgs.

The skin was made in a lab at the University of Tokyo from a mixture of human skin cells grown on a collagen model and placed on top of a 3D-printed resin base, the New Scientist reported.

Scientists on the project — who published their findings in Cell Reports Physical Science on Tuesday — believe the living skin could be a key step in creating robots that heal and feel like humans.

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The exoskeleton is being developed for older adults and people with conditions like cerebral palsy:

A new method developed by researchers uses AI and computer simulations to train robotic exoskeletons to autonomously help users save energy.

Researchers from North Carolina State University, in their new study, showed the technologically advanced instrument as an achievement in reinforcement learning, a technique that trains software to make decisions.

In a demonstration video, provided as part of their new research published in Nature, the method consists of taping into three neural networks: motion imitation, muscle coordination, and exoskeleton control networks.

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Exoskeleton for real world adoption.

A super smart or “learned” controller that leverages data-intensive artificial intelligence (AI) and computer simulations to train portable, robotic exoskeletons.

This new controller provides smooth, continuous torque assistance for walking, running, or climbing…

Safer, more efficient movements for factory workers and astronauts, and improved mobility for people with disabilities could someday become a more widespread reality, thanks to research published June 12 in the journal Nature.

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Researchers at Cambridge have shown that the Third Thumb, a robotic prosthetic, can be quickly mastered by the public, enhancing manual dexterity. The study stresses the importance of inclusive design to ensure technologies benefit everyone, with significant findings on performance across different demographics.

Cambridge researchers demonstrated that people can rapidly learn to control a prosthetic extra thumb, known as a “third thumb,” and use it effectively to grasp and handle objects.

The team tested the robotic device on a diverse range of participants, which they say is essential for ensuring new technologies are inclusive and can work for everyone.

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