The New Frontier Of LLM Inference: Where The Next Tenfold Gains Will Come From

This brute-force scaling approach is slowly fading and giving way to innovations in inference engines rooted in core computer ...
eLife

Improved inference of latent neural states from calcium imaging data

This valuable study provides a practical computational framework for inferring latent neural states directly from calcium fluorescence recordings, bypassing the traditional need for a separate spike ...
ascopubs.org

Postprediction Inference for Clinical Characteristics Extracted With Machine Learning on Electronic Health Records

Real-world data (RWD) derived from electronic health records (EHRs) are often used to understand population-level relationships between patient characteristics and cancer outcomes. Machine learning ...

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.
SiliconANGLE

Red Hat Expands AI offerings with inference server and validated models

Red Hat Inc. today announced a series of updates aimed at making generative artificial intelligence more accessible and manageable in enterprises. They include the debut of the Red Hat AI Inference ...