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Q Labs dust algorithm: backpropagation-free pretraining now beats Adam baseline

Backpropagation-free AI training reaches a milestone: Q Labs' Dust algorithm uses only forward passes to train transformers, ...
BIOENGINEER

Visual Transformer Algorithm Scores Athletic Movement from Ordinary RGB Video

A Visual Transformer-based algorithm reported in Discover Artificial Intelligence assigns technical scores and grades to ...
BIOENGINEER

AI System Pairs Transformer Memory With Reinforcement Learning to Personalize Digital Psychological Support

A new open-access study combines Transformer temporal encoding with proximal policy optimization to personalize long-term ...
SiliconANGLE

IBM releases Granite 4 series of Mamba-Transformer language models

IBM Corp. on Thursday open-sourced Granite 4, a language model series that combines elements of two different neural network architectures. The algorithm family includes four models on launch. They ...

The Conflict Between AI Processor Structural Transformation and the Memory Wall Brought About by 'Dust', a Backpropagation-Independent Transformer Training Method

Pretraining Transformers Without Backpropagation" is a proposal for a computational algorithm and training framework that enables the pretraining of Transformer models without using backpropagation ...