Characterizing the intelligence of biological organisms is challenging yet crucial. This paper demonstrates the capacity of canonical neural networks to autonomously generate diverse intelligent algorithms by leveraging an equivalence between concepts from three areas of cognitive computation: neural network-based dynamical systems, statistical inference, and Turing machines.
The newly discovered SLYM membrane segregates clean and dirty CSF, supporting the brain’s immune defenses and glymphatic system, paving the way for targeted treatments and deeper understanding of brain diseases. The human brain, with its intricacies ranging from neural networks to fundamental bio
Existing numerical computing libraries lack native support for physical units, limiting their application in rigorous scientific computing. Here, the authors developed SAIUnit, which integrates physical units, and unit-aware mathematical functions and transformations into numerical computing libraries for artificial intelligence-driven scientific computing.
Einstein imagined gravitational waves over a hundred years ago, but it wasn’t until 2016 that technology finally caught up. Now, researchers are pushing the boundaries again – this time with the help of an AI named Urania. Developed by Dr. Mario Krenn and his team, Urania has designed a series of
“Completely automating labor could generate vast abundance, much higher standards of living, and new goods and services that we can’t even imagine today.”
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Neural networks are one typical structure on which artificial intelligence can be based. The term “neural” describes their learning ability, which to some extent mimics the functioning of neurons in our brains. To be able to work, several key ingredients are required: one of them is an activation function which introduces nonlinearity into the structure.
A photonic activation function has important advantages for the implementation of optical neural networks based on light propagation. Researchers in the Stiller Research Group at the MPL and LUH in collaboration with MIT have now experimentally shown an all-optically controlled activation function based on traveling sound waves.
It is suitable for a wide range of optical neural network approaches and allows operation in the so-called synthetic frequency dimension. The work is published in the journal Nanophotonics.
Every now and then, a Silicon Valley startup launches with such an “absurdly” described mission that it’s difficult to discern if the startup is for real
A car accident, football game, or even a bad fall can lead to a serious or fatal head injury. Annually, traumatic brain injuries (TBI) cause half a million permanent disabilities and 50,000 deaths. Monitoring pressure inside the skull is key to treating TBI and preventing long-lasting complications.
Most of these monitoring devices are large and invasive, requiring surgical emplacement. But Georgia Tech researchers have recently created a sensor smaller than a dime. The miniature size offers huge benefits.
“Surgery means extensive recovery time and can significantly impact patient health. Our system doesn’t require surgery because we use a conventional stent, the catheter, as a delivery vehicle,” said W. Hong Yeo, the Harris Saunders Jr. Endowed Professor and an associate professor in the George W. Woodruff School of Mechanical Engineering.
