From dissipative structures to the adaptive frontier of the brain
Category: neuroscience
Google Is Mapping the Human Brain… and It Gets Terrifying
Google is using AI to map the human brain, generate synthetic neurons, and speed up one of the most ambitious neuroscience projects ever attempted. But as brain mapping, connectomics, and AI brain decoding move forward, a terrifying question appears: what happens to mental privacy when machines can understand the brain better than we do?
This mini-documentary explores Google’s brain mapping research, synthetic neurons, AI mind decoding, neural privacy, and the future of human thought in the age of artificial intelligence.
CHAPTERS:
00:00 Google’s Brain Mapping Project.
02:00 The Scale of the Human Brain.
04:36 Synthetic Neurons Explained.
06:40 AI Is Already Decoding Thoughts.
10:15 The Rise of Neural Privacy.
14:51 Brain Maps and the Future of AI
17:11 Who Owns Your Mind?
*******************
🌟 Reverse-Engineer ANY YouTube Channel in Seconds with the World’s First OS for Creators — OverseerOS:
https://www.overseeros.com/
*******************
Welcome to AI Uncovered, your ultimate destination for exploring the fascinating world of artificial intelligence! Our channel delves deep into the latest AI trends and technology, providing insights into cutting-edge AI tools, AI news, and breakthroughs in artificial general intelligence (AGI). We simplify complex concepts, making AI explained in a way that is accessible to everyone.
At AI Uncovered, we’re passionate about uncovering the most captivating stories in AI, including the marvels of ChatGPT and advancements by organizations like OpenAI. Our content spans a wide range of topics, from science news and AI innovations to in-depth discussions on the ethical implications of artificial intelligence. Our mission is to enlighten, inspire, and inform our audience about the rapidly evolving technology landscape.
Ken Hayworth: Brain Preservation is the Logical Lifeboat
Thirteen years ago, I sat down with Ken Hayworth and asked him a question most people spend their whole lives avoiding.
What happens to the self when the body fails?
Ken is president of the Brain Preservation Foundation. He is also a neuroscientist who refuses to flinch. His answer was not comfort. It was logic.
Brain preservation, he argued, is the logical lifeboat that people have access to today.
Here is the part that has stayed with me ever since. Ken imagines our grandchildren looking back at us. They will see that we had the science. They will see that we understood the brain holds our memories, our skills, our personality. And they will ask why we did nothing.
His verdict is brutal. We were not killed by bad technology. We were killed by bad philosophy. We simply could not accept that we are physical machines.
Quantum hyperdimensional computing can work 500 times faster than other methods
Cleveland Clinic researchers are unlocking quantum computing’s full potential through the creation of a new computing paradigm inspired by the human brain. Fabio Cumbo, Ph.D., research associate in the lab of Daniel Blankenberg, Ph.D., associate staff, Computational Life Sciences, is developing the model, called quantum hyperdimensional computing (QHDC).
Cumbo published the first-ever implementation of QHDC in two distinct experiments in npj Unconventional Computing.
Hyperdimensional computing (HDC) is a type of computing based in neuroscience. It follows the idea that a concept in the brain is not stored on one single neuron. For example, when you think of a cat, there is no single neuron in your brain solely responsible for knowing what a cat is. That information is spread across thousands or millions of neurons, so if one neuron fails, you still remember what a cat is.
Brain-inspired chip fuses vision, memory, and processing in real time
Team leader Professor Sumeet Walia said the goal was to remove the delay and energy cost of transferring data between separate systems. “We’ve made real-time decision making a possibility with our invention, because it doesn’t need to process large amounts of irrelevant data and it’s not being slowed down by data transfer to separate processors.”
The device also showed the ability to retain visual information for longer periods without frequent electrical refresh signals, which reduces energy use and improves efficiency.
First author and RMIT PhD researcher Aishani Mazumder said the system draws inspiration from how the brain processes information. “Neuromorphic vision systems are designed to use similar analog processing to the human brain, which can greatly reduce the amount of energy needed to perform complex visual tasks compared with today’s technologies.”
The Future of Neuroscience Is Growing and Reviving Human Brains
Further Reading.
Thumbnail image credit: Not alive, but not dead… FEATURED SCIENCE ARTICLE.
Brain background: Nexorg.
Brain organoid images: Elke Gabriel.
Not alive, but not dead: disembodied human brains used for drug testing.
https://www.science.org/content/artic…
Restoration of brain circulation and cellular functions hours.
https://pubmed.ncbi.nlm.nih.gov/30996…
Vascularizing organoids-on-chip for perfused and personalized models.
https://pubs.rsc.org/en/content/artic…
Startup Testing Drugs on Freshly Extracted Human Brains That Are Kept On Life Support.
https://futurism.com/health-medicine/.…
Cerebral organoids transplantation repairs infarcted cortex and restores impaired function after stroke https://www.nature.com/articles/s4153…
World First: Patient Receives High-Risk Therapy to Make Cells Young Again
An eagerly awaited and controversial clinical trial to ‘wind back the clock’ on aging cells in the eye and restore them to a more youthful state has officially begun.
This week, the United States biotechnology company Life Biosciences, Inc. announced that it had dosed its first patient with an experimental therapy designed to reverse age-related vision loss.
The ambitious idea is to turn back aging by activating three genes in retinal ganglion cells, which connect the brain to the eyes.
Brain-computer interface enables independent, accurate communication for man living with ALS
A new study demonstrates that a person with severe paralysis caused by amyotrophic lateral sclerosis (ALS) can use a brain-computer interface (BCI) at home to communicate, work and interact with the digital world—without the need for researcher support. Published in Nature Medicine, the results mark a significant step toward delivering practical assistive technology for people with severe speech and motor impairments.
The BCI system was developed at UC Davis, in collaboration with colleagues at Brown University and Mass General Brigham Neuroscience Institute. It is equipped with advanced decoding algorithms that translate neural signals into text (speech BCI) and enable cursor control (movement BCI). It allows full interaction with a personal computer.
The brain-computer interface is designed to restore communication and computer control by decoding neural activity linked to attempted speech and movement. Although recent advances have achieved high accuracy in research settings, real-world adoption has been limited by two key challenges: independent at-home use and reliable long-term performance.
Clinician–scientists identify brain network linked to deadliest childhood brain cancer
A human brain network associated with survival in children with diffuse midline glioma (DMG), the deadliest childhood brain cancer, has been identified by UCL clinician-scientists, raising the possibility of entirely new treatment approaches. The researchers found that DMG tumors seem to exploit the brain’s existing neural circuitry to drive tumor growth and progression. Tumors that were more strongly connected to this network were associated with significantly shorter patient survival.
The study, published in Nature, builds on pioneering work in the field of cancer neuroscience, which shows that brain tumors, including DMG, dynamically interact with the otherwise healthy brain.
The study was led by Dr. Jai Sidpra and Dr. Valentina Lind, medical students enrolled in the MBPhD Program within the UCL Division of Medicine and senior author Professor Darren Hargrave’s group at the UCL Great Ormond Street Institute of Child Health.
