Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
American Institute of Physics

Opening the black box of machine learning-controlled plasma treatments

Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.
Scientific Research Publishing

Accurate Classification of Diabetes via PM Generative AI ()

2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.

Machine learning unravels quantum atomic vibrations in materials

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of ...

New approach improves accuracy of quantum chemistry simulations using machine learning

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a ...

A Decade of Refinement: The Millisecond-Level Graph Vector Retrieval Algorithm Revolution Under a Trillion Data

In today's data-driven era, the speed and accuracy of information retrieval have become increasingly important. Since I first proposed the EFANNA algorithm during my doctoral studies in 2016, I ...
Tech Xplore on MSN

Why machines struggle with the unknown: Exploring the gap in human and AI learning

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...
HealthDay on MSN

Machine, Deep Learning Models Improve Prediction of CKD Progression

(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...
Tech Xplore on MSN

AI learns to follow predefined norms through a combination of logic and machine learning

Artificial intelligence is becoming increasingly versatile—from route planning to text translation, it has long become a ...
Semiconductor Engineering

KAN Acceleration: Algorithm Hardware Co-Design Approach (Georgia Tech, National Tsing Hua Univ., TSMC)

A new technical paper titled “Hardware Acceleration of Kolmogorov-Arnold Network (KAN) in Large-Scale Systems” was published ...
Frontiers

Machine Learning and AI Tools for RNA Bioinformatics

The field of RNA bioinformatics is undergoing a transformative era marked by substantial advancements in sequencing technologies and data acquisition ...