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 ...
IEEE

Weakly Supervised Deep Learning for Arabic Tweet Sentiment Analysis on Education Reforms: Leveraging Pre-Trained Models and LLMs With Snorkel

Abstract: This study introduces a novel approach to sentiment classification of Arabic tweets regarding educational reforms in Saudi Arabia. The complexity of the Arabic language, with its numerous ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
EurekAlert!

A review of machine learning advances in reliability-based design, integrity assessment, inspection and maintenance of pipelines

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...
GitHub

A high-level machine learning and deep learning library for the PHP language.

Install Rubix ML into your project using Composer: Rubix ML is a free open-source machine learning (ML) library that allows you to build programs that learn from your data using the PHP language. We ...
Ama-assn.org

Doctors’ use of AI up dramatically. Here’s the CME they need.

From AI basics to ethical use in the health care system, a CME series from the AMA gives physicians key information on this emerging field. If you aren’t already using augmented intelligence (AI) in ...
FierceBiotech

Synchron and Nvidia set sights on AI model trained by direct brain activity

Late last year, Synchron announced that its Stentrode cleared a year-long safety study, involving six participants who had lost the use of their arms, with support from the NIH. (Synchron) The ...
Analytics Insight

Supervised vs Unsupervised Learning: A Comparative Analysis

There are two major machine learning approaches: supervised and unsupervised. Supervised learning uses labelled data for tasks like classification, while unsupervised learning identifies patterns in ...
GitHub

CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection

Most time series anomaly detection models aim to learn normal behavior from unlabelled data, identifying anomalies as deviations from this behavior. However, the lack of labelled data makes it ...
www.cs.cmu.edu

John Wieting

I am a PhD student at Carnegie Mellon University supervised by Taylor Berg-Kirkpatrick and Graham Neubig. I also collaborate with Kevin Gimpel at the Toyota Technological Institute at the University ...
National Bureau of Economic Research

Mining Chinese Historical Sources At Scale: A Machine Learning-Approach to Qing State Capacity

Primary historical sources are often by-passed for secondary sources due to high human costs of accessing and extracting primary information–especially in lower-resource settings. We propose a ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...