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The tiny, floating blobs of mini-hearts were straight out of Frankenstein. Made from a mixture of human stem cells and a sprinkle of silicon nanowires, the cyborg heart organoids bizarrely pumped away as they grew inside Petri dishes.

When transplanted into rats with heart injuries they lost their spherical shape, spreading out into damaged regions and connecting with the hosts’ own heart cells. Within a month, the rats regained much of their heart function.

It’s not science fiction. A new study this month linked digital electrical components with biological cells into a cyborg organoid that, when transplanted into animal models of heart failure, melded with and repaired living, beating hearts.

This research topic consists of 148 articles on various aspects of brain augmentation contributed by more than 600 authors. At the time of writing, the articles have been viewed online more than 1.3 million times and received plentiful citations in the scientific literature. The topic won the 2017 Frontiers Spotlight Award.

The topic theme, “Augmentation of brain function,” is an umbrella term for the approaches from different disciplines, aimed at the improvement of brain performance in both healthy people and patients suffering from neurological disabilities. Functions of the brain that scientists hope to augment belong to sensory, motor and cognitive domains. Brain enhancements could be achieved pharmacologically or using neurostimulation. Functional improvements can be also achieved with brain training techniques that employ modern technologies like computer games and virtual reality. Furthermore, brain performance can be augmented using brain-machine interfaces (BMIs), the pathways that connect neuronal circuits to external assistive devices, such as limb prostheses, exoskeletons, and communication aids. In addition to sending commands to external devices, BMIs can enable bidirectional communications, where artificial sensory signals are delivered to the brain while information is being decoded from neural recordings.

Even though many of the brain-augmenting ideas sound like science fiction, the topic authors feel optimistic about most of them. The overall consensus is that brain performance can be improved with artificial components, and this approach will lead to practical applications in the not-too-distant future. Many of the techniques covered in the topic, for example BMIs and noninvasive stimulation, have already experienced an explosive development. While expectations are high for the augmentation approaches, philosophers are warning about the ethical issues related to technologies that interfere with the mind, possibly in unpredictable ways. Although some of these concerns seem far-fetched, it is important that ethical standards are kept high as these revolutionary brain-augmenting methods are being developed.

It’s been rumored for several months now that Apple will be using a new 3 nm manufacturing process from Taiwan Semiconductor (TSMC) for its next-generation chips, including M3 series processors for Macs and the A17 Bionic for some next-gen iPhones. But new reporting from The Information illuminates some of the favorable terms that Apple has secured to keep its costs down: Apple places huge chip orders worth billions of dollars, and in return, TSMC eats the cost of defective processor dies.

At a very high level, chip companies use large silicon wafers to create multiple chips at once, and the wafer is then sliced into many individual processor dies. It’s normal, especially early in the life of an all-new manufacturing process, for many of those dies to end up with defects—either they don’t work at all, or they don’t perform to the specifications of the company that ordered them.

Experience the dystopian rainfall of a Blade Runner universe in this ASMR track! Sit back, relax and let the futuristic cyberpunk music transport you to a dark and dangerous future.

This sci-fi ambient music is perfect for any fan of Blade Runner 2049. With a cinematic soundscape and spine chilling music, this track will transport you to a dark and dystopian future. Enjoy the sounds of rain falling on a roof, the sound of a blade cutting through metal and the sound of a cyborg walking the streets of a city at night.

Dystopian Rainfall is an immersive, atmospheric ambient track that transports the listener to the rain-soaked, neon-lit streets inspired by the Blade Runner universe. This captivating composition masterfully combines the soothing sound of rainfall with the distinctive synth tones that define the film’s iconic soundscape.

If you love Blade Runner, Blade Runner 2049 or anything from it — you’ll enjoy this one!

Summary: Researchers created a revolutionary tiny and efficient thermoelectric device, which can help amputees feel temperature with their phantom limbs.

Known as the wearable thin-film thermoelectric cooler (TFTEC), this device is lightweight, incredibly fast, and energy-efficient, potentially revolutionizing applications such as prosthetics, augmented reality haptics, and thermally-modulated therapeutics. Additionally, this technology has potential in industries like electronics cooling and energy harvesting in satellites.

The study conducted to test the TFTEC demonstrated its ability to elicit cooling sensations in phantom limbs, doing so significantly faster, with more intensity, and less energy than traditional thermoelectric technology.

What happens when humans begin combining biology with technology, harnessing the power to recode life itself.

What does the future of biotechnology look like? How will humans program biology to create organ farm technology and bio-robots. And what happens when companies begin investing in advanced bio-printing, artificial wombs, and cybernetic prosthetic limbs.

Other topic include: bioengineered food and farming, bio-printing in space, new age living bioarchitecture (eco concrete inspired by coral reefs), bioengineered bioluminescence, cyberpunks and biopunks who experiment underground — creating new age food and pets, the future of bionics, corporations owning bionic limbs, the multi-trillion dollar industry of bio-robots, and bioengineered humans with super powers (Neo-Humans).

As well as the future of biomedical engineering, biochemistry, and biodiversity.

Queen Mary University researchers have engineered a self-sensing, variable-stiffness artificial muscle that mimics natural muscle characteristics. The breakthrough has significant implications for soft robotics and medical applications, moving a step closer to human-machine integration.

In a study published on July 8 in Advanced Intelligent Systems, researchers from Queen Mary University of London have made significant advancements in the field of bionics with the development of a new type of electric variable-stiffness artificial muscle that possesses self-sensing capabilities. This innovative technology has the potential to revolutionize soft robotics and medical applications.

Technology Inspired by Nature.

In a study published recently in Advanced Intelligent Systems, researchers from Queen Mary University of London have made significant advancements in the field of bionics with the development of a new type of electric variable-stiffness artificial muscle that possesses self-sensing capabilities. This innovative technology has the potential to revolutionize soft robotics and medical applications.

Muscle contraction hardening is not only essential for enhancing strength but also enables rapid reactions in living organisms. Taking inspiration from nature, the team of researchers at QMUL’s School of Engineering and Materials Science has successfully created an artificial muscle that seamlessly transitions between soft and hard states while also possessing the remarkable ability to sense forces and deformations.

Dr. Ketao Zhang, a Lecturer at Queen Mary and the lead researcher, explains the importance of variable stiffness technology in artificial muscle-like actuators. “Empowering robots, especially those made from flexible materials, with self-sensing capabilities is a pivotal step towards true bionic intelligence,” says Dr. Zhang.