Latest Articles for Training

Addressing risks and improving safety for healthcare workers exposed to blood.

A novel technique for grouping images based on visual similarities without labels.

A new method for identifying polyps improves early colorectal cancer detection.

Examining how humans and robots collaborate in operating articulated machines for timber harvesting.

Training medical trainees and traffic police to respond effectively to trauma.

A new method improves learning from uneven datasets in offline reinforcement learning.

Invariant Dropout improves training efficiency by managing device performance variations.

This study presents a method to create 3D shapes from sketches without paired data.

Evaluating AI models that simulate teacher responses for better student engagement.

Exploring how finite-time Lyapunov exponents reveal network sensitivity to input changes.

Examining how data order impacts fairness in machine learning models.

A new model enhances perception systems for safer autonomous driving.

Study reveals insights on summarization and question answering in biomedical texts.

A new method reduces the cost of training large models in machine learning.

Learn about Large Language Models and their applications across various fields.

The ISTP initiative empowers educators to foster inclusive classrooms in STEM fields.

Research focuses on enhancing cloud detection using Kernel-Target Alignment.

Developing systems for machines to create realistic, context-aware gestures.

Online training boosts doctors' confidence in smoking cessation efforts.

A guide to using AI models for music on the Bela platform.

Digital pathology enhances efficiency and collaboration in tissue sample examination.

A new AI system predicts badminton shots more accurately for better training.

QCNNs use hyper-complex numbers for enhanced data representation in neural networks.

AIMC enhances efficiency in deep neural networks by processing data within memory.

A new method enhances image quality over unreliable networks.

A fresh approach speeds up optimization using past experiences.

Gender-tuning reduces bias in language models while maintaining performance levels.

An overview of LLMs, addressing their applications and key challenges.

A new method enhances layered image creation for better editing control.

Improving training for EPI staff to enhance vaccination rates in Cameroon.

This article discusses advancements in waveform design using deep learning for JCAS systems.

PINNsFormer enhances accuracy in solving partial differential equations using advanced Transformer structures.

Researchers train dogs to identify diseases through scent, advancing wildlife health monitoring.

Study explores attention control in individuals with spider phobia.

Introducing Eye-Llama, a specialized model for enhancing eye health support.

New methods enhance the ability to detect fake videos effectively.

Examining the difficulties of handling sequential data in machine learning tasks.

Training nurses on patient safety is crucial for better healthcare outcomes.

This article reviews the RRTF framework's impact on Code LLM performance.

A new approach to strengthen visual AI against natural disturbances using realistic objects.