EurekAlert!

A novel deep learning model for medical image segmentation with convolutional neural network and transformer

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
EurekAlert!

A pretrained transformer model for decoding individual glucose dynamics from continuous glucose monitoring data

CGMformer is first self-supervised pretrained on CGM data to gain fundamental knowledge of the glucose dynamics, and then applied to a multitude of downstream clinical applications. The extractable ...

New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.
AZoLifeSciences on MSN

Deep learning–based codon optimization framework boosts protein expression in E coli

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...
SiliconANGLE

AI21 Labs’ updated hybrid SSM-Transformer model Jamba gets longest context window yet

OpenAI rival AI21 Labs Ltd. today lifted the lid off of its latest competitor to ChatGPT, unveiling the open-source large language models Jamba 1.5 Mini and Jamba 1.5 Large. The new models are based ...