Tech Xplore on MSN
Scalable memtransistor arrays show potential for energy-efficient artificial neural networks
Researchers at the National University of Singapore (NUS) have fabricated ultra-thin memtransistor arrays from ...
AI was the key that unlocked these brain “neighborhoods.” They could also light the way to curing disorders like Alzheimer’s.
Ultra-thin MoS2 memtransistor arrays feature controlled Schottky barriers, low variability, and reliable switching, boosting ...
A single brain cell cannot think by itself, but when it's connected with millions of other cells, that network is capable of ...
That problem is why, even though we’ve had success finding enzymes that break down common plastics like polyesters and PET, they’re only partial solutions to plastic waste. However, researchers aren’t ...
Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...
Deep Learning with Yacine on MSN
Inception Net V1 Explained: Step-by-Step PyTorch Implementation
Learn how the Inception Net V1 architecture works and how to implement it from scratch using PyTorch. Perfect for deep ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
Abstract: Brains evolve within specific sensory and physical environments, yet neuroscience has traditionally focused on ...
For the past decade, AI researcher Chris Olah has been obsessed with artificial neural networks. One question in particular engaged him, and has been the center of his work, first at Google Brain, ...
A handheld breath test flagged lung cancer risk in a 67-person study, using eight breath chemicals and a small on-device ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results