Frontiers

Transformer-Enabled Multi-Omics Interpretation: LLM Pipelines for Cross-Dataset Annotation and Uncertainty-Aware Integration

You will be redirected to our submission process. Multi-omics studies now span genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiomics, and spatial and single-cell modalities, ...
IEEE

Transformer-Based Precoding for User-Centric Network Massive MIMO Optical Wireless Communications

Abstract: Multiple-input multiple-output (MIMO) optical wireless communications (OWC) is a key technology to meet the growing demand for high data rates and reliable connectivity in sixth-generation ...
MUO on MSN

I gave my local LLM access to my files and it replaced three apps I was paying for

I gave AI my files. It gave me three subscriptions back.

Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.
Computer Weekly

Pathway builds truly native reasoning model to solve LLM Sudoku stumbling blocks

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...

How LinkedIn replaced five feed retrieval systems with one LLM model, at 1.3 billion-user scale

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.
IEEE

Transformer-Based Dynamic Resource Allocation for Multi-Carrier NOMA Systems

Abstract: We present an attention-based transformer learning approach for dynamic resource allocation in multi-carrier non-orthogonal multiple access (NOMA) downlink systems. We propose transformer ...