A look under the hood of transfomers, the engine driving AI model evolution
How transformers work, why they are so important for the growth of scalable solutions and why they are the backbone of LLMs.
unite10d
Transformers and Beyond: Rethinking AI Architectures for Specialized Tasks
In 2017, a significant change reshaped Artificial Intelligence (AI). A paper titled Attention Is All You Need introduced ...
Social media posts and transformer-based models for early detection of heat stroke
Heat stroke poses a significant health risk, especially during extreme temperature conditions. While social media posts have ...
Semiconductor Engineering11d
Transistor Sizing Approach for OTA Circuits Using a Transformer Architecture
A  new technical paper titled “Accelerating OTA Circuit Design: Transistor Sizing Based on a Transformer Model and ...
Mining Weekly6d
What lies beneath – the hidden cost of AI
By: Ben Selier - Vice President, Secure Power, Anglophone Africa at Schneider Electric The world is quickly realising that ...
Forbes1mon
Google’s Titans Give AI Human-Like Memory
The architecture’s capacity to retain extensive ... Titans to overcome one of the primary limitations of current Transformer models: the fixed-length “context window,” the maximum amount ...
Google’s new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute
Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.
DeepSeek R1 is now available on Nvidia, AWS, and Github as available models on Hugging Face shoot past 3,000
DeepSeek-R1 expands across Nvidia, AWS, GitHub, and Azure, boosting accessibility for developers and enterprises.