Goodbye, Llama? Meta launches new proprietary AI model Muse Spark — first since Superintelligence Labs' formation

Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 ...
GitHub

Comprehensive Single-Cell RNA-Seq Analysis Pipeline

1. Introduction: What is Single-Cell RNA Sequencing? Traditional RNA sequencing (Bulk RNA-seq) gives the average gene expression of millions of cells in a tissue. Single-Cell RNA Sequencing (scRNA-seq ...
InfoWorld

Google targets AI inference bottlenecks with TurboQuant

Google says its new TurboQuant method could improve how efficiently AI models run by compressing the key-value cache used in LLM inference and supporting more efficient vector search. In tests on ...
eLife

Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...
Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
IEEE

Robust Statistical Inference for Accelerated Life-Tests With One-Shot Devices Under Log-Logistic Distributions

Abstract: A one-shot device is a unit that operates only once, after which it is either destroyed or needs to be rebuilt. For this type of device, the operational status can only be assessed at a ...
GitHub

causal_inference_modelling.py

class (aliased as ``IPTWGEEModel`` for backward compatibility).
IEEE

ReaLM: Reliable and Efficient Large Language Model Inference with Statistical Algorithm-Based Fault Tolerance

Abstract: The demand for efficient large language model (LLM) inference has propelled the development of dedicated accelerators. As accelerators are vulnerable to hardware faults due to aging, ...
eLife

A mechanistic theory of planning in prefrontal cortex

This important study advances our understanding of the neural substrate of planning trajectories towards a goal by using recurrent neural networks. The manuscript provides solid evidence for most of ...