Webinar "Interpretable Machine Learning for Materials R&D"
Join Dr. Dean and Dr. Bazhirov on November 19th to learn more about Interpretable machine learning for materials research and development.
Data Phoenix Digest - ISSUE 31
NVIDIA GTC, Isomorphic Labs, and AI-powered drug discovery, algorithms predicting stress at the atomic scale, training a DCGAN in PyTorch, deploying your first ML API, alias-free Generative Adversarial Networks, causal ImageNet, SchNet, CaraNet, obs, and more ...
Data Phoenix Digest - ISSUE 30
Project OpenBytes and the NextArch Foundation, Azure OpenAI service, AI for drinking water, a gentle introduction to Vector Space Models, Non-Deep Networks, Wav2CLIP, ADOP, NLP course, AutoML course, jobs, and more ...
Data Phoenix Digest - ISSUE 29
NATO's focus on AI, state of AI report 2021, predicting gene expression with AI, generating captions for scientific figures, applications and techniques for fast Machine Learning in science, events, courses, videos, jobs, and more ...
AI Ukraine 2021
Hello friends! Data Phoenix team wants to present to you — AltexSoft, a technology consulting company organizing AI UKRAINE 2021 Conference.
Data Phoenix Digest - ISSUE 28
Image data loaders in PyTorch, object detection with YOLO, keypoint communities, ResNet strikes back, Graph Neural Network for lagrangian simulation, DVC alternatives for experiment tracking, jobs, and more ...
Data Phoenix Digest - ISSUE 27
Data Science automation is here, EU gets closer to banning facial recognition, serving ML Models in production, localizing objects with self-supervised transformers and no labels, courses, videos, tools, jobs, and more ...
Data Phoenix Digest - ISSUE 26
New insights into ML, AI, and Data (MAD) landscape, OECD report on investment in AI, China's new take on regulating AI, the FP Growth algorithm, parallelizing Python code, intro to GANs, instance-conditioned GAN, SwinlR, RSDet++, tools, jobs, and more ...
Data Phoenix Digest - ISSUE 25
GPT-4 will have 100 trillion parameters, supercharge image classification with transfer learning, dual-camera super-resolution with aligned attention modules, DagsHub, LightAutoML, TrOCR, FreeStyleGAN, JupyterLab App, cheatsheets, jobs, and more ...
