Archives for google brain
The beta version of the watermarking tool is currently only available to Imagen users
The post Google DeepMind Introduces SynthID to Watermark AI-Generated Images appeared first on Analytics India Magazine.
Jones hinted that he will be starting his own company
The post Last Co-Author of Transformer Paper Departs Google appeared first on Analytics India Magazine.
The move is more aligned with Google’s attempt to make its position stronger in the losing battle against OpenAI and Microsoft
The post Promising Partnership or Perilous Pairing? appeared first on Analytics India Magazine.
Google Brain Needs DeepMind
The Google-DeepMind partnership would be a befitting reply to Microsoft-OpenAI alliance
The post Google Brain Needs DeepMind appeared first on Analytics India Magazine.
What are ‘Attention is All You Need’ authors doing right now – everything about the thinkers, doers, and quitters
The post ‘Attention is All You Need’ Gets No Attention appeared first on Analytics India Magazine.
Happy Birthday, TensorFlow
Training large models is a massive challenge as it requires collecting and annotating vast amounts of data. It is particularly challenging in the case of speech recognition models. To overcome this challenge, a team from Google Research and Google Brain have introduced an AI model, SpeechStew. The model is trained on a combination of datasets…
The post What Happened When Google Threw All Voice Data To The Blender. Answer: SpeechStew appeared first on Analytics India Magazine.
Tensor2Tensor based Transformer built with self-attention layers becomesstate-of-the-art model in Neural Machine Translation
The post Guide to Google’s Tensor2Tensor for Neural Machine Translation appeared first on Analytics India Magazine.
Tensor2Tensor based Transformer built with self-attention layers becomesstate-of-the-art model in Neural Machine Translation
The post Guide to Google’s Tensor2Tensor for Neural Machine Translation appeared first on Analytics India Magazine.
Automated machine learning – or AutoML – is an approach that cuts down the time spent in doing iterative tasks concerning model development. AutoML tools help developers build scalable models with great ease and minimal domain expertise. AutoML is one of the most actively researched spaces in the ML community. AutoML studies have discovered ways…
The post Addressing Drawbacks Of AutoML With AutoML-Zero appeared first on Analytics India Magazine.