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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 ...

Transformer AI models outperform neural networks in stock market prediction, study shows

Like other sectors of society, artificial intelligence is fundamentally changing how investors, traders and companies make decisions in financial markets. AI models have the ability to analyze massive ...
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 — ...
SiliconANGLE

AI21 Labs’ Jamba infuses Mamba to bring more context to transformer-based LLMs

Generative artificial intelligence startup AI21 Labs Ltd., a rival to OpenAI, has unveiled what it says is a groundbreaking new AI model called Jamba that goes beyond the traditional transformer-based ...
Semiconductor Engineering

Transformers At The Edge: Efficient LLM Deployment

Since the groundbreaking 2017 publication of “Attention Is All You Need,” the transformer architecture has fundamentally reshaped artificial intelligence research and development. This innovation laid ...
PC Gamer

I'll say it: The best thing I saw from Nvidia at CES wasn't its sweet new GPUs, but some tasty AI every RTX gamer can enjoy

The new transformer model for DLSS could be... er... kinda transformative. When you purchase through links on our site, we may earn an affiliate commission. Here’s ...
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.
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 ...