Unite.AI

Thinking Machines Lab Unveils Inkling, Its First Open-Weights Multimodal AI Model

Thinking Machines Lab has released Inkling, its first general-purpose artificial intelligence model, giving developers access ...
News-Medical.Net

New machine learning model improves cholesterol calculation accessibility

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...

New machine-learning equation accurately assess LDL cholesterol risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
Johns Hopkins Medicine

Machine Learning Method Enables Easier and Wider Use of Martin-Hopkins Equation to Accurately Assess LDL Cholesterol Risk

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
Hacker

How to Build Production ML Systems That Detect Failure Early

Moving a machine learning model from a local Jupyter Notebook to an enterprise production environment is less about mathematical optimization and more about software reliability. In a development ...
C&EN

Modular Integration of Python Programming in Undergraduate Physical Chemistry Experiments

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...
usace.army.mil

STRYKER READY

Using machine learning to forecast maintenance readiness at the frontline unit level. The Army’s current model to determine future equipment readiness levels falls short of enabling command ...
GitHub

FRamework Of VEctorized and DIStributed data analytics

Frovedis is high-performance middleware for data analytics. It is written in C++ and utilizes MPI for communication between the servers. It provides Spark-like API for distributed processing Matrix ...