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Imagine a multi-limbed cyborg world, made possible by these wearable robot arms

I want one so I can do my chores better. But.

Seriously, this is cool.


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Masahiko Inami and his team at the University of Tokyo have developed a wearable multi-armed device called “Jizai Arms”, to study social interaction among users of robotic limbs. Controlled remotely, the device has sockets for up to six articulated arms that can be removed and attached. The project seeks to explore how technology can function as an extension of the human body.

Harmonizing Recovery: Robotic Glove Helps Stroke Survivors Relearn Music

Summary: A ‘smart hand exoskeleton’, a custom-made robotic glove, can aid stroke patients in relearning dexterity-based skills like playing music. The glove, equipped with integrated tactile sensors, soft actuators, and artificial intelligence, can mimic natural hand movements and provide tactile sensations.

By applying machine learning, the glove can distinguish between correct and incorrect piano play, potentially offering a novel tool for personalized rehabilitation. Although the current design focuses on music, the technology holds promise for a broader range of rehabilitation tasks.

Dancing cyborgs: Japanese researchers develop robot arms to ‘unlock creativity’

TOKYO (Reuters) — What would society look like if cyborg body parts were freely available for use like roadside rental bicycles? Masahiko Inami’s team at the University of Tokyo have sought to find out by creating wearable robotic arms.

Inami’s team is developing a series of technologies rooted in the idea of “jizai”, an Japanese term that he says roughly denotes autonomy and the freedom to do as one pleases.

The aim is to foster something like the relationship between musician and instrument, “lying somewhere between a human and a tool, like how a musical instrument can become as if a part of your body.”

How ChatGPT could replace IT network engineers

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Modern IT networks are complex combinations of firewalls, routers, switches, servers, workstations and other devices. What’s more, nearly all environments are now on-premise/cloud hybrids and are constantly under attack by threat actors. The intrepid souls that design, implement and manage these technical monstrosities are called network engineers, and I am one.

Although other passions have taken me from that world into another as a start-up founder, a constant stream of breathless predictions of a world without the need for humans in the age of AI prompted me to investigate, at least cursorily, whether ChatGPT could be used an effective tool to either assist or eventually replace those like me.

Apple Reportedly Planning to Switch Technology Behind A17 Bionic Chip to Cut Costs Next Year

The A17 Bionic chip initially used in the iPhone 15 Pro and ‌iPhone 15 Pro‌ Max later this year will fundamentally differ from a version of the same chip set to be manufactured in 2024, a new rumor claims.

The A17 Bionic is expected to be Apple’s first chip manufactured with a 3nm fabrication process, resulting in major performance and efficiency improvements over the 5nm technique used for the A14, A15, and A16 chips. The initial version of the A17 Bionic chip will reportedly be manufactured using TSMC’s N3B process, but Apple is planning to switch the A17 over to N3E sometime next year. The move is said to be a cost-cutting measure that could come at the expense of reduced efficiency.

AI 100: The most promising artificial intelligence startups of 2023

CB Insights has unveiled the winners of the seventh annual AI 100 — a list of the 100 most promising private AI companies across the globe.

Around one-third of this year’s winners are focused on AI applications across specific industries — such as visual dubbing for the media & entertainment sector or textile recycling for fashion & retail. A total of 40 vendors are focused on cross-industry solutions, like AI assistants & human-machine interfaces (HMIs), digital twins, climate tech, and smell tech.

Additionally, 27 companies in this cohort are developing tools like vector database tech and synthetic datasets to support AI development.

Advanced universal control system may revolutionize lower limb exoskeleton control and optimize user experience

A team of researchers has developed a new method for controlling lower limb exoskeletons using deep reinforcement learning. The method entitled, “Robust walking control of a lower limb rehabilitation exoskeleton coupled with a musculoskeletal model via deep reinforcement learning,” published in the Journal of NeuroEngineering and Rehabilitation, enables more robust and natural walking control for users of lower limb exoskeletons.

While advances in wearable robotics have helped restore mobility for people with lower limb impairments, current control methods for exoskeletons are limited in their ability to provide natural and intuitive movements for users. This can compromise balance and contribute to user fatigue and discomfort. Few studies have focused on the development of robust controllers that can optimize the user’s experience in terms of safety and independence.

Existing exoskeletons for lower limb rehabilitation employ a variety of technologies to help the user maintain balance, including special crutches and sensors, according to co-author Ghaith Androwis, Ph.D., senior research scientist in the Center for Mobility and Rehabilitation Engineering Research at Kessler Foundation and director of the Center’s Rehabilitation Robotics and Research Laboratory. Exoskeletons that operate without such helpers allow more independent walking, but at the cost of added weight and slow walking speed.

Artificial skin heals wounds and makes robots sweat

Circa 2020

Imagine a dressing that releases antibiotics on demand and absorbs excessive wound exudate at the same time. Researchers at Eindhoven University of Technology hope to achieve just that, by developing a smart coating that actively releases and absorbs multiple fluids, triggered by a radio signal. This material is not only beneficial for the health care industry, it is also very promising in the field of robotics or even virtual reality.


TU/e-researcher Danqing Liu, from the Institute of Complex Molecular Systems and the lead author of this paper, and her PhD student Yuanyuan Zhan are inspired by the skins of living creatures. Human skin secretes oil to defend against bacteria and sweats to regulate the body temperature. A fish secretes mucus from its skin to reduce friction from the water to swim faster. Liu now presents an artificial skin: a smart surface that can actively and repeatedly release and reabsorb substances under environmental stimuli, in this case radio waves. And that is special, as in the field of smart materials, most approaches are limited to passive release.

The potential applications are numerous. Dressings using this type of material could regulate drug delivery, to administer a drug on demand over a longer time and then ‘re-load’ with a different drug. Robots could use the layer of skin to ‘sweat’ for cooling themselves, which reduces the need for heavy ventilators inside their bodies. Machines could release lubricant to mechanical parts when needed. Or advanced controllers for virtual reality gaming could be made, that get wet or dry to enhance the human perception.

The basis of the material, the coating, is made of liquid-crystal molecules, well-known from LCD screens. These molecules have so-called responsive properties. Liu: “You could imagine this as a communication material. It communicates with its environment and reacts to stimuli.” With her team at the department of Chemical Engineering and Chemistry she discovered that the liquid-crystal molecules react to radio waves. When the waves are turned on, the molecules twist to orient with the waves’ direction of travel.

Bioprinting personalized tissues and organs within the body: A breakthrough in regenerative medicine

In situ bioprinting, which involves 3D printing biocompatible structures and tissues directly within the body, has seen steady progress over the past few years. In a recent study, a team of researchers developed a handheld bioprinter that addresses key limitations of previous designs, i.e., the ability to print multiple materials and control the physicochemical properties of printed tissues. This device will pave the way for a wide variety of applications in regenerative medicine, drug development and testing, and custom orthotics and prosthetics.

The emergence of has resulted in substantial improvements in the lives of patients worldwide through the replacement, repair, or regeneration of damaged tissues and organs. It is a promising solution to challenges such as the lack of organ donors or transplantation-associated risks. One of the major advancements in regenerative medicine is on-site (or “in situ”) bioprinting, an extension of 3D , which is used to directly synthesize tissues and organs within the human body. It shows great potential in facilitating the repair and regeneration of defective tissues and organs.

Although significant progress has been made in this field, currently used in situ bioprinting technologies are not devoid of limitations. For instance, certain devices are only compatible with specific types of bioink, while others can only create small patches of tissue at a time. Moreover, their designs are usually complex, making them unaffordable and restricting their applications.

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