Meta's AI-driven acoustic synthesis for AR and VR, orchestrating PyTorch workflows using Vertex AI pipelines, Fast Interpretable Greedy-Tree Sums from…
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NVIDIA's MoMA inverse rendering pipeline for quickly producing 3D objects, Apple's multi-task neural architecture for on-device scene analysis, unifying…
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Iterative's VS Code Extension for Experiment Tracking, MLOps at a reasonable scale, Meta's new direct speech-to-speech model that does not rely on text…
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Photonic neural networks that can classify images in less than 570 picoseconds, AI ushering a new scientific revolution, deploying transformers on the…
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Google's Imagen, deep learning for human action recognition, fast path from a notebook to a deployed model, AI toolkit for healthcare imaging, a paper…
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Meta's new advances in speech recognition, Graph-based Neural Structured Learning in TFX, IBM's analog hardware acceleration kit, a paper on lossless…
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DeepMind's multi-model, multi-task, multi-embodiment generalist policy that resembles AGI, practical learnings for production-level deep learning…
5
Meta democratizes access to OPT-175B, Google's automated model-parallel deep learning, Graph Isomorphism Networks, and more
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DeepMind's single visual language model called Flamingo, experiment tracking in KubeFlow pipelines, large model training using PyTorch FSDP, a paper on…
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Google at ICLR 2022, load testing and monitoring AI Platform models, why spectral normalization stabilizes GANs, a paper on bootstrapped meta-learning…
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A U-Net and Fourier Neural Operator-based model for improving carbon sequestration, offline access to Amazon SageMaker Feature Store, Mobile Video…
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OpenAI's new and improved DALL-E 2, understanding your model's predictions with Grad-CAM, Vertex AI model registry and how it works with BigQuery ML, a…
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