News

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 ...
Ars Technica

Google improves Gemini AI image editing with “nano banana” model

Something unusual happened in the world of AI image editing recently. A new model, known as "nano banana," started making the rounds with impressive abilities that landed it at the top of the LMArena ...
Bloomberg L.P.

Apple Explores Using Google Gemini AI to Power Revamped Siri

Apple Inc. is in early discussions about using Google Gemini to power a revamped version of the Siri voice assistant, marking a key potential step toward outsourcing more of its artificial ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
TechCrunch

Google rolls out Gemini Deep Think AI, a reasoning model that tests multiple ideas in parallel

Google DeepMind is rolling out Gemini 2.5 Deep Think, which, the company says, is its most advanced AI reasoning model, able to answer questions by exploring and considering multiple ideas ...
Reuters

Amazon-backed Skild AI unveils general-purpose AI model for multi-purpose robots

Skild Brain model enhances robot versatility across environments Robotics faces a unique data scarcity challenge, says CEO Pathak Model includes measures to ensure safe human interaction July 29 ...
GitHub

Multi-class Image Classification for Unbalanced Fashion Data

This project investigates the impact of class imbalance on multi-class classification using an MLP classifier trained on a modified subset of the FashionMNIST dataset. The goal was to evaluate ...
Frontiers

Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification

The First Hospital of Hunan University of Chinese Medicine, Hunan University of Chinese Medicine, Changsha, China Background: Breast cancer remains the most prevalent malignancy in women globally, ...
Frontiers

BrainTumNet: multi-task deep learning framework for brain tumor segmentation and classification using adaptive masked transformers

Background and objective: Accurate diagnosis of brain tumors significantly impacts patient prognosis and treatment planning. Traditional diagnostic methods primarily rely on clinicians’ subjective ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...