01:06:11

Aurora: A Foundation Model of the Atmosphere

03:55:14

Intermediate-level Programming for HPC Using Python - Training event from NCC Cyprus & NCC Greece

01:00:13

Network Geometry

03:12:34

Introduction to Parallel Computing for Beginners – Training Event (2024)

01:22:39

Towards Engineering Trustworthy Learning-Enabled Systems

01:04:28

Machine Learning for Agents and Multi-Agent Systems

29:43

Addressing the Problem of Data Sparsity with Generative Modelling

01:35:57

Introduction to GPU Programming

19:07

Use cases of machine learning

55:55

Introduction to HPC and Cyclone

51:22

Data Cleaning and Preprocessing for Scientific Computing

01:12:13

From Large Graphs to Large Neural Networks

52:20

Introduction to Deep Learning for Computer Vision

53:08

Computational Investigation of Underlying Disease Mechanisms and in Silico Drug Repurposing

54:50

Personalized In Silico Modelling of Disease Progression and Treatment Outcome Prediction

01:13:27

A Data Science Pipeline for Big Linked Geospatial and Earth Observation Data

01:01:34

Skyrmion Dynamics Within a Sigma-model for Chiral Antiferromagnets

01:05:17

Evolution PDEs Arising in Multifluid-multiscale Flows

01:08:08

Learning by Monitoring: Twinning and Model Discovery for Engineered Systems

02:10:11

Fast Mathematics with Numpy in Python

22:47

Kokkos Framework

36:57

Building products powered by large language models

01:30:23

GPU CUDA Programming - Session 1

01:05:42

Parallel computing techniques for scaling hyperparameter tuning of Gradient Boosted Trees and DL

01:22:37

PyTorch Neural Networks: Running on CPUs and GPUs

01:15:54

GPU CUDA Programming - Session 2

01:29:53

Efficient Data Cleaning and Pre-processing Techniques for Robust Machine Learning

41:04

Large-scale generative models for language and vision (including LLMs): How they work & future work

09:45

Introduction

55:52

Applications of Machine Learning in Studies of Galaxy Evolution

54:25

A Novel Approach to the Inverse Problem

45:26

Sparse Training in Supervised and Unsupervised Deep Learning

52:48

Sparse Training in Supervised and Unsupervised Deep Learning

49:55

Tensorization and Uncertainty Quantification in Deep Learning

50:50

Generating the Unseen and Explaining the Seen - ML for the Environmental and Agricultural Sciences

01:12:26

Molecular Simulations of Epoxy Networks and Nanocomposites by Dr Spyros Kallivokas

01:20:14

Dissipative Particle Dynamics Simulation of Ultrasound Propagation through Liquid Water

01:01:08

Performance Tuning of MPI Collectives - Status Quo and Open Problems

01:17:51

AI Meets Complex Flows: Lagrangian & Eulerian Data-driven Tools for Optimal Navigation

01:27:09

Introduction to Data Science - Session 2: Time-series

01:18:25

Introduction to Data Science - Session 1: Structured Data

01:50

REFLECT SimEA Promo Video

01:47:46

A Brief Introduction to MPI - Part 1

01:59:34

Introduction to Python - Part 1

01:58:18

Connecting to a system, Linux Introduction, Scripting

58:55

Introduction to Python - Part 2

49:39

Introduction to High-Performance computing

55:53

Genome-wide Association Studies and Breast Cancer Risk Prediction

53:59

From Bouncing to Making a Splash: Computational Modelling of Impact Across Scales

01:08:18

Simulating Strong Force on Large Scale HPC State of the Art & Future Directions via Machine Learning

01:28:30

HPC 2nd Intermediate Training Event: TensorFlow/Keras for Text Processing

01:05:18

HPC 2nd Intermediate Training Event: Python in Data Science Part 2

01:15:34

HPC 2nd Intermediate Training Event: Python in Data Science Part 1

02:04:16

HPC 2nd Intermediate Training Event: Introduction to MIT’s Julia Language

01:05:30

HPC 2nd Intermediate Training Event: GPU programming in Python Part 2

01:26:19

HPC 2nd Intermediate Training Event: GPU programming in Python Part 1

01:31:19

HPC 2nd Intermediate Training Event: GPU programming using CUDA Part 3

58:46

HPC 2nd Intermediate Training Event: GPU programming using CUDA Part 4

01:04:58

HPC 2nd Intermediate Training Event: GPU programming using CUDA Part 2

48:55

In-Silico Studies of Polyelectrolyte Membranes for Flow Batteries and Fuel Cells