Learn how NVIDIA's Llama Nemotron Nano 8B delivers cutting-edge AI performance in document processing, OCR, and automation ...

A new technical paper titled “Hardware-software co-exploration with racetrack memory based in-memory computing for CNN inference in embedded systems” was published by researchers at National ...

Proteins are the infinitely varied chemicals that make cells work, and science has a pretty good idea how they are made. But ...

MediaTek Research, the advanced research division of the MediaTek Group, has released MR Breeze ASR 25, an open-source ...

Explore how Sparc3D transforms 2D images into detailed 3D models with AI-powered efficiency and precision. Discover more.

Because of this unique architecture, liver disease investigation has been limited by the lack of lab-grown models that accurately show how the disease progresses, as it is challenging to recreate ...

ByteDance’s Doubao Large Model team yesterday introduced UltraMem, a new architecture designed to address the high memory access issues found during inference in Mixture of Experts (MoE) models.

In doing so, they “were able to determine the architecture and specific characteristics—known as layer details—we would need to make a copy of the AI model,” explained Kurian, who added ...

Given that an autoencoder's function is to reconstruct the original input, it is typically not an architecture used to model supervised learning, which attempts to make discrete decisions. However, ...

Re-architecting AI model architecture Liquid AI stated that STAR is rooted in a design theory that incorporates principles from dynamical systems, signal processing, and numerical linear algebra.

Transformer-Based Models: Google’s BERT and OpenAI’s GPt-3 and GPT-4 are among the most powerful and popular generative AI models based on transformer architecture.