AI tools are making themselves increasingly at home in healthcare. They analyze radiology images and pathology samples, ...

InfoNCE: L_N = −E[log f_k(x_{t+k},c_t) / Σ_j f_k(x_j,c_t)]; minimizing this lower-bounds MI: I(x_{t+k};c_t) ≥ log(N) − L_N. Critic f_k(x,c) = exp(z^T W_k c) is density-ratio-proportional at optimum: f ...

In this tutorial, we focus on building a transparent and measurable evaluation pipeline for large language model applications using TruLens. Rather than treating LLMs as black boxes, we instrument ...

Proper bearing selection depends on load analysis, speed requirements, precision needs, and environmental conditions to ensure system reliability and efficiency. Ball bearings offer high precision and ...

Predictive coding (PC) has become a central framework in contemporary cognitive neuroscience, proposing that the brain operates as a hierarchical inference system that continuously minimizes the ...

In this tutorial, we explore hierarchical Bayesian regression with NumPyro and walk through the entire workflow in a structured manner. We start by generating synthetic data, then we define a ...

Bringing on artificial intelligence as a collaborator can make coding feel more accessible to those with little training in it, but there are trade-offs. By Lora Kelley What is a vibe? Many know it ...

During the peer-review process the editor and reviewers write an eLife assessment that summarises the significance of the findings reported in the article (on a scale ranging from landmark to useful) ...

Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, and public reviews. In this manuscript, the authors aim to elucidate the mechanisms ...

The Predictive Coding theory (1) posits that the brain constantly generates predictions about the environment, allocating neural resources primarily to processing stimuli that violate these ...