AI News, Elon Musk's Neuralink to empower human brains with AI ... artificial intelligence

Beyond Artificial Intelligence: The Bionic Brain

One of the great unknowns in our rush to develop artificial intelligence (AI) is how to control it for the ultimate benefit of humankind, rather than having it become a destructive force.  There are various dark future scenarios out there these days, from runaway rogue computer systems like “Hal” in the famed science fiction movie “2001”, to “killer robots” like some of the latest military drones that can act autonomously, or the very real possibility of a horrendous mistake that could be made without our knowledge by the “machine learning” and “deep learning” systems that are increasingly independent. 

 Imagine the development of a high-powered ethical chip embedded with the Ten Commandments and perhaps another 10,000 “updates” – everything from don’t takes bribes to don’t cheat on your final exams – that would impose an array of behavioral imperatives on all of us.  Call it the “Moses chip” – a fittingly miniaturized and improved version of the original stone tablets.   Granted, the first few commandments might be a bit problematical (and dispensable) for many of us, but how about thou shalt not kill, thou shalt not commit adultery, thou shalt not steal, thou shalt not bear false witness (aka lies).  That’s a good start.  And how about the Golden Rule (“do unto others…”), or thou shalt always repay a kindness or a debt and contribute your fair share (the universal cultural norm of reciprocity), or thou shalt eschew greed, or thou shalt not knowingly cause harm to others, or thou shalt obey all just laws, and so much more.  Imagine a world full of people who spontaneously acted ethically. 

Category: neuralink

The exponential growth of technologies integrated into human bodies is evident when just last month the technological mastermind, Elon Musk, disclosed the first details of an electronic brain implant developed by his company Neuralink, ‘to facilitate direct communications between people and machines.’ To get more insight into this subject, on the latest Cyborg Special episode on Financial Fox, host &

Muñoz explains how the process of understanding the relationship between the inputs received from the barometric organ and the actual weather conditions needs continuous learning over time, and for that reason, he calls these acquired senses as ‘artificial senses.’ Artificial senses are quite different than artificial intelligence, but they share the root of in-building technology into a process that is primarily human.

The Neil Harbisson and Moon Ribas led Cyborg Foundation created in 2010 clarifies the difference between Artificial Intelligence (AI) and Artificial Senses (AS) in a simpler way, saying that the artificial senses happen when technology gathers the stimuli but the human creates the intelligence- as opposed to Artificial Intelligence where the machine itself creates the intelligence.

But, in my case, I am using or I am having artificial sense because this is giving me like a new input that, maybe with experience, I will learn how the atmospheric pressure works and I will be able to learn and predict the weather,’ Harbisson and Ribas further explain how by designing new senses, our experience of reality becomes much deeper as it is through our senses itself that we perceive the world.

How brain-machine interface (BMI) technology could create an Internet of Thoughts

She plugged the extension for car transportation in the brain-machine interface connectors at the right side of her head, and off she went.

Sure, it’s not technology that’s ready to ship, but driving a car while writing emails or playing video games—all while being physically paralyzed—is a future not-too-far-off.

Brain-machine interface (BMI) technology is a field in which dedicated, big-name players are looking to develop a wide variety of applications for establishing a direct communication pathway between the brain (wired or enhanced) and an external device.

Some of these players are primarily interested in healthcare-centric implementations, such as enabling paralyzed humans to use a computer, but for others, improving the lives of the disabled are simply short-term goals on the road to much more broad and far-reaching accomplishments.

One such application of BMI, for example, is the development of a Human Brain/Cloud Interface (B/CI), which would enable people to directly access information from the Internet, store their learnings on the cloud, and work together with other connected brains, whether they are human or artificial.

These hearing aids connect to the nerves that transmit information to the brain, helping people translate sound they’d otherwise be unable to process.

One company working on technology to link the brain to a computer is Elon Musk’s startup Neurolink, which expects to be testing a system that feeds thousands of electrical probes into the human brain around 2020.

While the technology is mainly being developed to facilitate accurate diagnoses and eventual cures for the hundreds of different conditions that affect the human brain, it also offers options in a more technological direction.

At a possible transmission speed racking up to ∼6 × 10^16 bits per second, the human brain is able to relay an incredible amount of information super fast.

To compare, that is 60,000 Terabit per second or 7,500 Terabyte per second, which is a lot faster than the fastest stable Internet connection (1.6 Terabits per second) over a long distance recorded to date.

Yet, for all the brain’s marvels, speed, and thousands of neurons making connections and relying information, we are human after all, which means multiple flawed outcomes can result from those connections.

As we have shown, researchers are following several paths to determine applications for connecting our brains to the digital world, and they are considering the strengths and weaknesses of each as they attempt to achieve a symbiotic relationship.

Whether it’s an exoskeleton that allows a paralyzed person to walk, Artificial Intelligence-powered computers that can ramp up on speed and visual capabilities, or connecting our brains to the Internet and the Cloud for storing and sharing information, the applications for BMI technology are nearly endless.

At a high level: But there are more reasons that would stop me from using a BMI, even when the above points have been addressed: Let’s suppose we are able to work out all the high-level issues with privacy, security, filtering fact from fiction, and even learning all there is to know about the human brain.

Healthcare has struggled as an industry to keep up with cybersecurity, with hospital devices or computers often running legacy software or institutions leaking sensitive patient data on the open Internet.

Where we already see healthcare technologies with the capability to improve quality of life (or even save lives) hurried through the development process without properly implementing security best practices, we shiver at the prospect of inheriting these poor programming and implementation habits when we start creating connections between the brain and the Internet.

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