Statistical method broadens forecasts by modeling uncertainty beyond average outcomes

When it comes to statistics, we usually expect to be informed about what happens "on average." But sometimes the key ...
CIO

19 AgentOps tools for monitoring AI activity, issues, and costs

Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...
The Tech Edvocate

TI-84 Plus vs. TI-Nspire: Which Calculator Is Best?

Spread the love“`html The world of graphing calculators can be overwhelming, especially when it comes to choosing between two of the most popular models: the TI-84 Plus and the TI-Nspire. Students, ...
IT-Online

Data Scientist (Python, Machine Learning, LLMs) – (In Office) CPT – Western Cape Cape Town

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...
GitHub

D-FINE: Redefine Regression Task of DETRs as Fine‑grained Distribution Refinement

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
IEEE

A Homogenized FEM Data-Driven Model for Calculating Leakage Inductance of High-Frequency Transformer With Litz-Wire Winding

Abstract: Accurate evaluation of the leakage inductance of high-frequency transformers is significant for improving the operating model and power transmission efficiency of isolated dc-dc converters.
GitHub

Wasserstein Weisfeiler-Lehman graph kernel with Gaussian Process Regression (WWL-GPR)

This software package provides the implementation of the WWL-GPR model, a data-efficient, physics-inspired machine learning (ML) model for the prediction of binding motifs and associated adsorption ...