OpenAI's new GPT-5.5-Cyber tops Claude Mythos 5 in vulnerability benchmark0 0

OpenAI is rolling out the full, limited-release version of GPT-5.5-Cyber—a specialized AI model that outperforms its ...
BMJ

Development and cross-site validation of machine-learning models for diagnosis and prognosis of stable angina with and without obstructive coronary artery disease: a study protocol

Introduction Angina with no obstructive coronary artery disease (ANOCA) affects millions and is frequently under-recognised because diagnostic pathways and risk tools predominantly target obstructive ...
IEEE

Deep Learning Methodology for Charging Management Applications in Battery Cells Based on Neural Networks

Abstract: A Battery Energy Storage System (BESS) plays an important role in achieving energy transition and climate change mitigation, with charging management applications being a crucial topic to ...
The Financial Express

Harvard launches 6 free online courses in AI, web development and programming: Check details inside

Artificial intelligence is rapidly changing the job market, automating jobs across industries. Therefore, in such a scenario, upskilling oneself in industry-relevant AI skills becomes even more ...
NDTV

Harvard Announces 6 Free Online Courses In AI, Web Development, Programming, Details Here

Harvard Free Online Courses: Harvard University is offering a range of free online courses for learners interested in artificial intelligence, data science, and programming. These self-paced and ...
LinkedIn

How to Actually Use Train, Validation, and Test Sets in ML

One of the most common mistakes in machine learning is not a modeling problem. It is an evaluation problem. I realized this early in my ML journey when a model I built performed extremely well during ...
GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
BMJ

Development and validation of an interpretable machine learning model for predicting Philadelphia chromosome-positive acute lymphoblastic leukaemia using clinical and ...

2 State Key Laboratory of Trauma and Chemical Poisoning, Chongqing, China 3 Chongqing Key Laboratory of Hematology and Microenvironment, Chongqing, China Participants This study analysed 471 newly ...
Nature

Classification of cotton leaf disease using YOLOv8 based k-fold cross validation deep learning method for precision agriculture

Cotton production is a crucial agricultural industry, a raw material source for the textiles sector and a major source of livelihood for more than 30 million farmers globally. The yield and quality of ...
GitHub

Processing and gridding spatial data, machine-learning style

Verde is a Python library for processing spatial data (topography, point clouds, bathymetry, geophysics surveys, etc) and interpolating them on a 2D surface (i.e., gridding) with a hint of machine ...
Nature

Development and validation of questionnaire-based machine-learning models to predict early natural menopause: a national cross-sectional study

This epidemiological survey recruited 18,015 postmenopausal women aged 36–60 in 13 cities across 12 provinces in China. Ten machine learning algorithms were evaluated, with the optimal model was ...