Microsoft and NVIDIA's Megatron-Turing Natural Language Generation, a guide to converting PyTorch to TensorFlow Lite using ONNX, Microsoft's DeepMC fra…
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DeepRoute.ai, Argo, Matt Turck’s MAD landscape, Raspberry Pi’s AI kit, SpeechBrain, and more
Google’s Wikipedia-based Image-Text Dataset, How Waze uses TFX and Vertex for production-scale ML, Translatotron 3, the environmental impacts of AI sys…
AI Hardware Summit, Maze for Applied Reinforcement Learning, Neurips Data-Centric AI Workshop, PECOS (Predictions for Enormous and Correlated Output Sp…
TensorFlow Similarity, faster quantized inference with XNNPACK, an introduction to generative spoken language models, lettuce-picking robots, transform…
An introduction to self-supervised learning, a recent technique which has the potential to radically change how we build ML models
Tesla’s state-of-the-art Dojo chip, Jurassic-1 to challenge GPT-3, Apple’s Private on-device machine learning, YOLOv5 matches GPU performance on CPU, h…
Forecasting Arctic ice conditions with AI, PnG Bert and Non-Attentive Tacotron for voice recreation, uses for Graph Neural Networks, a paper on image r…
Facebook’s new open-world object segmentation, an algorithm that adapts to complexity, a game theoretic approach to explain ML model outputs, Google’s …
The new mobile AI chip for Google’s Pixel, identifying birds by sound, what happened to IBM Watson, a mini version of DALL-E image generation, big fund…
The AI management platform for mixing models from different vendors, GAN Sketching, new NLP datasets for contextual disfluencies and temporal commonsen…
DeepMind’s newest general-purpose architectures, an autoML tool for embedded machine learning models, OpenAI’s GPU programming language for neural netw…