Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...
Your computer's next top model.
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, ...
What makes this particularly dangerous in enterprise and production contexts is not just that the model gets it wrong, but ...
OpenAI announced Thursday that it has entered into an agreement to acquire Astral, the company behind popular open source Python development tools such as uv, Ruff, and ty, and integrate the company ...
On March 17, 2026, Meta introduced Omnilingual Machine Translation (OMT), a suite of models, datasets, and evaluation tools that extends AI translation support to over 1,600 languages — a significant ...
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 ...
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 — and what engineers building recommendation pipelines can learn from the redesign.
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 ...
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