Techno-Science.net on MSN

AI: Some architectures are fundamentally close to the human brain

Some artificial intelligence models can already resemble the human brain even before having learned anything. This surprising ...
Tech Xplore on MSN

Overparameterized neural networks: Feature learning precedes overfitting, research finds

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Tech Xplore on MSN

Guided learning helps previously 'untrainable' neural networks learn effectively

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...
OfficeChai

Google Introduces Titans Architecture To Give LLMs Long-Term Memory

Several experts have said that the lack of a long-term memory for LLMs — each interaction essentially starts from scratch — ...
WinBuzzer

Google Unveils ‘Titans’ Architecture, Enabling AI to Memorize 2 Million Tokens in Real-Time

Google Research has unveiled Titans, a neural architecture using test-time training to actively memorize data, achieving effective recall at 2 million tokens.
Quanta Magazine

Novel Architecture Makes Neural Networks More Understandable

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...
TMCnet

WiMi Studies Hybrid Quantum-Classical Learning Architecture for Multi-Class Image Classification

In this architecture, the training process adopts a joint optimization mechanism based on classical cross-entropy loss. WiMi treats the measurement probability distribution output by the quantum ...
The Scientist

Artificial Neural Networks: Learning by Doing

Article reviewed by Grace Lindsay, PhD from New York University. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain ...