Technology Networks

Deep Learning for Variant Calling: How DeepVariant and Neural Networks Are Improving Genomic Accuracy

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...
Technology Networks

Cellpose, StarDist, and the Deep Learning Cell Segmentation Revolution

Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...

Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Nature

‘Humanizer’ tool can erase signs of AI-written text — alarming scientists

Tool directs text-generation systems to remove constructions associated with artificial intelligence in research papers and ...
IEEE

Mental Health Safety and Depression Detection in Social Media Text Data: A Classification Approach Based on a Deep Learning Model

Abstract: Social media expansion enables real-time mental health monitoring particularly for depression detection through its platforms. Traditional depression detection techniques, however, struggle ...
IEEE

Reducing Data Volume in News Topic Classification: Deep Learning Framework and Dataset

Abstract: Withthe rise of smart devices and technological advancements, accessing vast amounts of information has become easier than ever before. However, sorting and categorising such an overwhelming ...

IIT Roorkee Opens Admissions for the 11th Batch of its Post Graduate Certificate in Data Science, Machine Learning & Generative AI

Eight-month live online programme by CEC, IIT Roorkee equips professionals to build applied expertise across Python, machine learning, deep learning, MLOps, LLMs and Generative AI, Education, Times No ...
GitHub

liar-dataset

NLP pipeline for fake news detection using the LIAR dataset, comparing classical ML baselines, BiLSTM, BERT, and RoBERTa. Fake news detection project using the LIAR dataset, covering preprocessing, ...