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.
Tech Xplore

Hybrid AI model combines graphs and transformers for real-time traffic forecasts

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...
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 ...
Analytics Insight

Best PyTorch Courses to Learn Deep Learning in 2026

PyTorch is one of the most popular tools for building AI and deep learning models in 2026.The best PyTorch courses teach both basic concept ...
GitHub

SQLBarber: Leverageing Large Language Models Generate Customized and Realistic SQL Workloads (SIGMOD 2026)

Database research and development often require a large number of SQL queries for benchmarking purposes. However, acquiring real-world SQL queries is challenging due to privacy concerns, and existing ...
InfoWorld

19 large language models redefining AI safety—and danger

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.
Futurism

After Banning Anthropic From Military Use, Pentagon Still Relying Heavily on It in Iran War

Last week, Anthropic’s CEO Dario Amodei publicly drew a line in the sand with the US military, insisting that its AI models may not be used for mass surveillance of Americans or deadly autonomous ...