Neural Networks
Comparing Learning Mechanisms: Neural Networks vs. Human Children Paid Members Public
Can machines really learn as humans do? Large language models come close - soaking up data and recognizing patterns. But children have an edge - curiosity, emotion, social intelligence. As AI advances, understanding these cognitive parallels is key to the future.
Rewiring the Brain in the Metaverse to Extend Life (part 2) Paid Members Public
Mind-uploading is the concept that explains the brain extension in the Metaverse, where people can make digital copies of their minds that could live freely in cyberspace and not be affected by biology.
Rewiring the Brain in the Metaverse to Extend Life (part 1) Paid Members Public
Brain-computer interfaces (BCIs) allow individuals to control 3D avatars and objects by modulating brain signals in real-time.
Future of Neural Network Technology Paid Members Public
Deep neural networks, or more broadly, learning models with deep embeddings, enable a wide range of applications on various levels: from biomedical data to language modeling.
Accelerating The Journey Into The Brain Paid Members Public
They send and detect signals a million times smaller than those controlling your smartphone. AI software filters millions of seemingly random strains of neural chatter to discern chords of neural activity.
A Linear Brain in a Non-linear World: How to Reverse your Thinking with Neuroscience to Challenge, Experiment, and Explore Paid Members Public
I will try to answer this question by exploring major differences between linear and non-linear thinking and why humans are tuned to think linearly from a cognitive and probably neurophysiological perspective.
