Tag: Microsoft

Turing Bletchley: A Universal Image Language Representation model by Microsoft
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, the World’s Largest and Most Powerful Generative Language Model
Microsoft Turing Universal Language Representation model, T-ULRv5, tops XTREME leaderboard and trains 100x faster
Micro-climate predictions: Enabling hyper-local decisions for agriculture and renewables
Train your machine learning models on any GPU with TensorFlow-DirectML
Make Every feature Binary: A 135B parameter sparse neural network for massively improved search relevance
Build your own machine learning model and integrate it with Windows ML application
Positive and Unlabeled Learning (PUL) Using PyTorch
Project Bonsai: Low-code industrial AI development platform
Azure Percept
Factorized layers revisited: Compressing deep networks without playing the lottery
The science behind semantic search: How AI from Bing is powering Azure Cognitive Search
Machine Learning with ML.NET – Support Vector Machines
Microsoft researchers claim “state-of-the-art” biomedical NLP model
ML.NET September Updates
Measuring dataset similarity using optimal transport
DeepSpeed: Extreme-scale model training for everyone
Domain-specific language model pretraining for biomedical natural language processing – Microsoft Research
Reinforcement learning researchers design new methods for gaming AI
Working With PyTorch Tensors — Visual Studio Magazine
High-Resolution Network: A universal neural architecture for visual recognition
Do you want to become a quantum developer and help solve the unsolvable? – Microsoft Quantum
Build your own Q# simulator – Part 1: A simple reversible simulator | Q# Blog
Turing-NLG: A 17-billion-parameter language model by Microsoft – Microsoft Research
Simplifying Cloud to Edge AI Deployments with the Intel® Distribution of OpenVINO™ Toolkit, Microsoft Azure, and ONNX Runtime – Intel AI
An Introduction to Neural Information Retrieval – Microsoft Research

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