
Explore protein-protein interactions using String and Cytoscape, create high-quality network figures, and identify nodes and edges in cluster finder for bioinformatics research.

Explore AI automation, industry applications, and optimization strategies with IBM Research expert Lisa Amini in this insightful talk on advancing artificial intelligence.

Comprehensive introduction to AI and deep learning, covering key concepts, applications, and historical context. Explores data processing, computational requirements, and course structure.

Learn Web Scraping Using Python + BeautifulSoup In Hindi! In this course, you will learn about retrieving links and text in bs4, logging in and scraping Facebook, programs to login into Facebook, scraping friends from Facebook, and downloading images fro…

Comprehensive exploration of computational biology, covering microarrays, RNA-seq, ChIP-seq, epigenetics, GWAS, cancer genomics, and deep learning, with hands-on data analysis techniques.

Comprehensive lecture series on statistical methods for analyzing genomic data, covering microarrays, RNA-seq, epigenetics, cancer genomics, and more. Focuses on practical applications in bioinformatics and computational biology.

Exploring gender equity's impact on fertility rates in postindustrial societies through in-depth interviews across five countries, examining the incomplete gender-role revolution's effect on family formation.

Experts explore the influence of sports on society, examining connections between marketing, gender, and athletics through data analysis, advertising, and media representation.

Explore genomic evolution in humans and pathogens, focusing on natural selection, adaptive traits, and disease-causing microbes. Learn about cutting-edge research methods and their public health implications.

Explore weather forecasting innovations, data-driven insights, and technological advancements with The Weather Company's CTO. Learn about big data's impact on meteorology and industry transformation.

Explore genomic tiling, precision medicine, and the future of DNA-based healthcare. Learn about organizing computational resources, big data platforms, and the Personal Genome Project's impact on clinical genetics.

Experts discuss using big data to understand and predict modern epidemics, exploring innovative approaches in medical intelligence, evolutionary biology, and genetics for improved disease management and public health.

Examen des avantages d'un plan énergétique durable pour la Terre, abordant le changement climatique, l'innovation et le déploiement, avec un accent sur l'équité sociale et l'atténuation de la pauvreté.

Exploring algorithmic fairness and privacy in computer science, addressing concerns about incorporating societal values into technology as it increasingly impacts our lives.

Explore interactive data visualization as a tool for studying user interface design and human-computer interaction, with insights from award-winning systems used by Wikipedia and Jupyter/Python communities.

Comprehensive exploration of machine learning with graphs, covering network properties, community structures, graph neural networks, and their applications in various domains.

Real-time DICOM metadata extraction for analyzing scanner utilization in radiology. Niffler framework enables accurate performance metrics, supports ML pipelines, and improves resource management in healthcare networks.

Comparative study on AI models for predicting opioid use disorder, showcasing superior performance of transformer-based AI over existing clinical tools and other machine learning approaches.

Explore innovative self-supervised denoising techniques for diffusion MRI using denoising diffusion models. Learn about a three-stage framework integrating statistic-based theory for improved medical imaging quality.

Explore techniques for curating and analyzing annotated medical images across institutions, focusing on data sharing challenges, anomaly detection, and OOD-aware image retrieval for improved dataset quality and future analysis.

Explore domain adaptation in machine learning, focusing on invariant representation learning and its challenges. Learn about novel techniques for optimal feature mapping across domains.