The Meshing Of Minds And Machines Has Arrived
Examining the mesh between humans and machines provides insight into the future. Science is already making significant progress in the development of brain/computer interface (BCI) technologies, such as brain mapping and neuromorphic circuits.
A system that connects the brain directly to an external device is known as a brain-computer interface. These technologies gather brain impulses using sensors implanted in assistive devices, then use those signals to power external equipment. This implies that the conversion of brain impulses into various actions or even commands occurs without requiring human movement. BCIs then rely on brain activity that is recorded by a sensor and typically converted into digital form so that devices can interpret it.
The goal of neuromorphic computing with BCI is to mimic the brain's energy efficiency and processing capacity. To achieve this, the system architecture must be redesigned to allow for in-memory computing (IMC), and electronic devices that simulate the actions of synapses and neurons must be created.
Artificial intelligence, conceptual image.
Neuromorphic Development
BCIs have over a hundred years of history. Hans Berger discovered the brain's electrical activity in 1924. The first EEG recordings of brain waves were produced as a result of his investigations, which used electrodes to record electrical activity from the human scalp. He accomplished the first non-invasive BCI-assisted robot control in 1988. Cyberkinetics' BrainGate project successfully controlled a prosthetic hand in 2005. A comprehensive timeline of BCI can be found at: The history of Brain-Computer Interfaces (BCIs) - Timeline - RoboticsBiz
In 2018, research funded by the Defense Advanced Research Projects Agency (DARPA) proved that a person with a brain chip could pilot a swarm of drones using signals from the brain. There have been various studies and experiments since then, and no doubt, science combining neural networks and artificial intelligence is on a path to enhance and even upgrade human cognitive capabilities. We could implant nanochips into our brains in the future to enhance our cognitive abilities and enable intelligent data uploads.
Advancements in brain/computer interface technologies are progressing rapidly in 2025. There is a breakthrough that is impacting the meshing of mind and machine. When used unconventionally, a single, conventional silicon transistor can simulate a biological neuron and synapse, according to research from the National University of Singapore (NUS). This study, led by Associate Professor Mario Lanza of NUS's College of Design and Engineering's Department of Materials Science and Engineering, suggests scalable, energy-efficient hardware for artificial neural networks (ANNs). "We need hardware that is both scalable and energy-efficient to enable true neuromorphic computing, where microchips behave like biological neurons and synapses," Professor Lanza stated.
The Neuralink logo on a laptop arranged in New York, US, on Wednesday, Jan. 31, 2024. Elon Musk said ... More that the first human patient has received a brain implant from his startup Neuralink Corp., a significant step forward for the company that aims to one day let humans control computers with their minds. Photographer: Gabby Jones/Bloomberg
Elon Musk has been a pioneer in the neuromorphic field. The core business that develops Elon Musk's brain-computer interface (BCI) technology is Neuralink, which he created in 2016. To improve human potential and restore freedom for people with disabilities, Neuralink is developing implanted brain-computer interfaces (BCIs) that allow direct brain-to-computer communication. To help people with paralysis, the technique uses a surgical robot to implant gadgets in the brain. The procedure allows users to operate computers or other equipment with their thoughts.
A 30-year-old man from Arizona, USA, named Noland Arbaugh became the first person to receive a brain chip implant from Neuralink, marking a significant milestone in neurotechnology. After a diving accident in 2016, Arbaugh suffered a paralysis below the shoulders. The BBC claimed that since receiving the chip in January 2024, the outcomes have been nothing short of remarkable.
Arbaugh is now able to use a brain-computer interface (BCI) to operate a computer with just his thoughts thanks to this technology. Recalling his early battles with paralysis, he remarked, "You just have no control, no privacy, and it's hard." However, he was able to control a computer cursor after the surgery by simply considering moving his fingers.
An article in Frontiers in Science, which involved cooperation between scientists, institutes, and academics, further highlights the promise of the human-computer interface. "We can imagine the possibilities of what may come next with the human brain machine interface," the conclusion reads. Neural nanorobotics-based human brain-computer interface systems could boost human intelligence and learning by giving people quick access to all the knowledge available in the cloud. Furthermore, it could elevate fully immersive virtual and augmented reality to previously unheard-of heights, allowing users to express themselves more completely and have more meaningful experiences. By addressing new difficulties for the human species, these improvements may help humanity adjust to emerging artificial intelligence systems and human augmentation technologies.
* Please see Frontiers | Interface between Human Brain and Cloud (frontiersin.org)
Additionally, there is hope for a quantum brain made of intelligent material that can change physically to learn. In their pursuit of this "quantum brain," physicists have made significant progress. They have shown that they can replicate the independent actions of neurons and synapses in the brain as well as pattern and link a network of individual atoms. Refer to The Initial Steps Toward a Quantum Brain: An Intelligent Substance That Acquires Knowledge by Changing Itself Physically (scitechdaily.com).
Future applications of brain-computer interfaces (BCIs) may enable instant communication, thought transfers, dream recording, and AI-consciousness integration. While these advancements hold potential for human augmentation, they also raise significant ethical concerns related to cyborg rights and the regulation of super AI. Additionally, cybersecurity and privacy issues are critical, as BCIs directly interact with brain impulses and could be susceptible to misuse or compromise. As this technology becomes more widespread, protecting user data and ensuring ethical usage will become increasingly imperative.
Human-machine interaction is here, despite technological, security, and ethical challenges. It will shape our future and could define the Fifth Industrial Revolution. The key will be steering its applications with a focus on a positive impact that enhances lives.
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