The eyes can reveal a lot about the health of our brain. Indeed, problems with the eyes can be one of the earliest signs of cognitive decline.
Our latest study shows that a loss of visual sensitivity can predict dementia 12 years before it is diagnosed.
Our research was based on 8,623 healthy people in Norfolk, England, who were followed up for many years. By the end of the study, 537 participants had developed dementia, so we could see what factors might have preceded this diagnosis.
Just a couple more steps before the LSST Camera turns its 3,200 megapixels toward the cosmos.
Surprising research from Spain has demonstrated the uniqueness of human consciousness, as a team of scientists say they have shown how the human brain stores memories differently than other species.
Neurons in a human brain record information separate from context, allowing humans to process more complex and abstract information relationships than other species. Dr. Rodrigo Quian Quiroga, group leader of the Neural Mechanisms of Perception and Memory Research Group at the Hospital del Mar Research Institute, led the groundbreaking research into human consciousness.
A study of James Webb Space Telescope images finds astronomers should factor the Milky Way’s rotational velocity in observations of deep space galaxies.
What happens when AI becomes infinitely smarter than us—constantly upgrading itself at a speed beyond human comprehension? This is the Singularity, a moment where AI surpasses all limits, leaving humanity at a crossroads.
Elon Musk predicts superintelligent AI by 2029, while Ray Kurzweil envisions the Singularity by 2045. But if AI reaches this point, will it be our greatest breakthrough or our greatest threat?
The answer might change everything we know about the future.
Chapters:
00:00 — 01:15 Intro.
01:15 — 03:41 What Is Singularity Paradox?
03:41 — 06:19 How Will Singularity Happen?
06:19 — 09:05 What Will Singularity Look Like?
09:05 — 11:50 How Close Are We?
11:50 — 14:13 Challenges And Criticism.
#AI #Singularity #ArtificialIntelligence #ElonMusk #RayKurzweil #FutureTech
The future of AI is here—and it’s running on human brain cells! In a groundbreaking development, scientists have created the first AI system powered by biological neurons, blurring the line between technology and biology. But what does this mean for the future of artificial intelligence, and how does it work?
This revolutionary AI, known as “Brainoware,” uses lab-grown human brain cells to perform complex tasks like speech recognition and decision-making. By combining the adaptability of biological neurons with the precision of AI algorithms, researchers have unlocked a new frontier in computing. But with this innovation comes ethical questions and concerns about the implications of merging human biology with machines.
In this video, we’ll explore how Brainoware works, its potential applications, and the challenges it faces. Could this be the key to creating truly intelligent machines? Or does it raise red flags about the ethical boundaries of AI research?
What is Brainoware, and how does it work? What are the benefits and risks of AI powered by human brain cells? How will this technology shape the future of AI? This video answers all these questions and more. Don’t miss the full story—watch until the end!
#ai.
#artificialintelligence.
#ainews.
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Scientists have created a groundbreaking AI that uses living human brain cells instead of traditional silicon chips, allowing it to learn and adapt faster than any existing artificial intelligence. Developed by Cortical Labs, this new technology, called Synthetic Biological Intelligence (SBI), combines human neurons and electrodes to create a self-learning system that could revolutionize drug discovery, robotics, and computing. The CL1 AI unit, unveiled in March 2025, operates with minimal energy, doesn’t require an external computer, and is available through Wetware-as-a-Service (WaaS), enabling researchers to run experiments on biological neural networks from anywhere in the world.
🔍 KEY TOPICS
Scientists create an AI using living human brain cells, redefining intelligence and learning.
Cortical Labs’ CL1 unit combines neurons and electrodes for faster, more efficient AI
Breakthrough in Synthetic Biological Intelligence (SBI) with real-world applications in medicine, robotics, and computing.
🎥 WHAT’S INCLUDED
How human neurons power AI, enabling it to learn and adapt faster than any chip.
The revolutionary CL1 system, a self-contained AI unit that doesn’t need an external computer.
The potential impact of biological AI on drug discovery, robotics, and future technology.
📊 WHY IT MATTERS
This video explores how AI built with human neurons could reshape computing, making systems smarter, more energy-efficient, and capable of human-like learning, raising new possibilities and ethical debates.
DISCLAIMER
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Special thanks to Chuankun Zhang, Tian Ooi, Jacob S. Higgins, and Jack F. Doyle from Prof. Jun Ye’s lab at JILA/NIST/University of Colorado, as well as Prof. Victor Flambaum from UNSW’s Department of Theoretical Physics, for their valuable assistance and consultation on this video.
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Chinese startup Butterfly Effect has unveiled what it claims is the first general AI agent capable of acting autonomously.
