Data Phoenix Digest is a collection of the best and latest articles, papers, courses, interviews, podcasts, videos, datasets, events, books, and jobs on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Science, Robotics and other aspects of Artificial Intelligence.
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 ...
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 ...
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 ...
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 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 ...
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 ...
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 ...
CV for workplace security, a new wave of invest into NLP, webinars "Pachyderm in production: lessons learned", fast AutoML with FLAML + Ray Tune, improving neural network subspaces, YOLOv5 on CPUs, learning neural causal models with active interventions, videos, datasets, jobs, and more ...
Computer vision against cyber threats, Grammarly for developers, understanding convolutions on graphs, simulating traffic flow in python, deep reinforcement learning at the edge of the statistical precipice, datasets, jobs, and more...
AI preventing security threats, a deep dive on ARIMA models, a gentle introduction to GNN, how to detect, evaluate, and visualize historical drifts in the data, multiplying matrices without multiplying, books, videos, jobs, and more...
Open Data Science Odessa Meetup #4, AI with "natural" voices from NVIDIA, deploying NVIDIA Triton at Scale with MIG and Kubernetes, self-supervised CT denoising, creating synthetic data, VIL-100, Neural-GIF, YOLOP, FedScale, AP-10K, jobs, and more...
Announcement of next three webinars of "The A-Z of Data" series, AI and social sciences, MLOps best practices for Data Scientists, bootstrapping labels via supervision & Human-In-The-Loop, Machine Learning Zoomcamp, papers, videos, courses, jobs, and more...