Council Post: Individual artificial intelligence is the future of AI
Elon Musk-backed Neuralink is teeing up for clinical trials on humans with a view to accomplish the human brain implant by the end of the year. However, this is just the beginning. Remember the movie Transcendence where Johnny Depp (Dr Will Caster) turns into a superintelligent AI. Well, the timeline to superintelligence is shortening. Last December, a 63-year-old Australian Philip O’Keefe, who is suffering from ALS, tweeted his thoughts with the help of a computer chip implanted in his brain. I’m excited to announce a world first. At 7pm ET today (~5 hours) Phillip O’Keefe, who had a Synchron Brain Computer Interface implanted in April 2020 will take over my Twitter account for 30 mins. He will use the BCI to tweet answers to your questions: directly from his brain. pic.twitter.com/FzxUImgZC3— Thomas Oxley (@tomoxl) December 22, 2021 In July 2021, the researchers from the University of California, San Francisco (UCSF) leveraged AI to help a paralysed man communicate by translating his brain signals into computer-generated writing. The researchers used a neuroprosthetic device to track his brain signals. As of now, the commercial use cases of AI chips or brain-computer interface (BCI) are few and far between. Currently, BMI is mostly used to help paralysed people interact. However, some scientists and philosophers warn of the dangers of an insubordinate superintelligent AI. Earlier, the Centre for Humans and Machines at the Max Planck Institute for Human Development demonstrated it would be impossible to control a superintelligent AI. Enter, individual artificial intelligence Now, AI and machine learning are used to control cars, compose music, or beat the world champions in Go, Chess, esports game (Dota), etc. Now, the question is, is it possible to seamlessly integrate the human brain with AI? If we look at brain synapses, the structural properties of transmembrane proteins in channels allow human intelligence to perform as a classic binary system-symbiosis. In the future, scientists could build a highly unique artificial intelligence, aka individual artificial intelligence that directly connects the neurons in the human brain to a computer. At present, all the AI systems have one thing in common – they are developed as vertically controlled electronic complexes that operate using algorithms/code of varying complexity. In individual artificial intelligence, the AI is turned into a bio-electronic crossover, in which a machine and human mind will cooperate in a double integral framework. How is it different Compared to electronic systems, the processing power of the human brain is limited. However, the plasticity, creativity, and energy efficiency of the human brain are difficult to simulate. Computer systems process information faster than humans, with 3 million times signal transmission speed than us. When you combine the human brain and computer into a single system, it will increase the overall efficiency and create a new type of artificial intelligence in the process. A final thought While the traditional model of neural computer interface based on surgical implants is simpler than the idea of transmembrane proteins at synapses, research is underway to make the latter a reality. Today, everyone expects an engineer to build a strong AI, but in the days to come, a doctor or a neurologist will probably inspire the next big breakthrough in AI. This article is written by a member of the AIM Leaders Council. AIM Leaders Council is an invitation-only forum of senior executives in the Data Science and Analytics industry. To check if you are eligible for a membership, please fill out the form here.
The plasticity, creativity, and energy efficiency of the human brain are difficult to simulate.
In the future, scientists could build a highly unique AI that directly connects the neurons in the human brain to a computer.
["brain-computer interface", "neuralink"]
["data science", "Go", "artificial intelligence", "machine learning", "AI", "ML", "neuralink", "RAG", "brain-computer interface", "Aim", "analytics", "R"]
["AI", "artificial intelligence", "machine learning", "ML", "data science", "analytics", "Aim", "RAG", "R", "Go"]
Recognised as Top 50 influential AI Leaders in India and Top 40 under 40 Data Scientists, Dr.Anish is a professional with over 20 years of experience with exceptional expertise of delivering value through innovative use of data across a spectrum of industry verticals. An informed opinion Leader and the go-to person in the field of Data Analytics, Data Visualisation, Strategy Design, Artificial Intelligence and Machine Learning, Dr.Anish is a trusted expert who has moved and inspired people and organisations with innovative ideas, scaling them into sustainable change not just in one company but in an industry, niche or across an entire ecosystem, globally.