The new model developed by Flatiron Institute researchers proposes that biological neurons have more control over their surroundings than previously thought, something that could be replicated in the ...

An international collaboration between researchers at the RIKEN Center for Brain Science (CBS) in Japan, the University of Tokyo, and University College London has demonstrated that self-organization ...

Despite the unquestionably impressive advancements we’ve witnessed in recent years, AI is still lagging far behind human intelligence. While it can process vast amounts of data, recognize patterns, ...

A new collaboration has unlocked new potential for the field by creating a novel high-performance organic electrochemical neuron that responds within the frequency range of human neurons. Artificially ...

Scientists at the University of Cambridge in the U.K. have created a self-organizing, artificially intelligent system that uses the same tricks as the human brain to solve specific tasks. This ...

For more than a century, brain imaging has been a story of trade-offs: sharp pictures but slow timing, or fast signals with ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I analyze the recently announced ...

Scientists have built an artificial neuron that’s so realistic it fires, learns, and responds to chemical signals just like the real thing – a breakthrough that could transform computing, medicine, ...

Your brain can still make new neurons when you’re an adult. But how does the rare birth of these new neurons contribute to cognitive function? Researchers know that new neurons contribute to memory ...

Modern artificial intelligence systems, from robotic surgery to high-frequency trading, rely on processing streams of raw data in real time. Extracting important features quickly is critical, but ...

Researchers have demonstrated that self-organization of neurons as they 'learn' follows a mathematical theory called the free energy principle. The principle accurately predicted how real neural ...