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What is BERT, and why should we care?

BERT stands for Bidirectional Encoder Representations from Transformers. It is a type of deep learning model developed by Google in 2018, primarily used in natural language processing tasks such as ...
Crypto Briefing

Sundar Pichai: Google’s transformers revolutionize search and translation, the future of search is agent-based, and speed is key to product differentiation | Cheeky Pint

The evolution of search technology will change user interaction.
Neowin

NVIDIA registers the world's quickest BERT training time and largest transformer-based model

The company's immensely powerful DGX SuperPOD trains BERT-Large in a record-breaking 53 minutes and trains GPT-2 8B, the world's largest transformer-based network, with 8.3 billion parameters. NVIDIA ...
Fast Company

How Google’s new ‘MUM’ algorithm could transform the way we search

Google is flexing its artificial intelligence muscle to help users of its search engine research complex tasks that would normally involve multiple queries. Many of the Google searches we do are just ...
VentureBeat

Google open-sources BERT, a state-of-the-art pretraining technique for natural language processing

Natural language processing (NLP) -- the subcategory of artificial intelligence (AI) that spans language translation, sentiment analysis, semantic search, and dozens of other linguistic tasks -- is ...
Semiconductor Engineering

Achieving Greater Accuracy In Real-Time Vision Processing With Transformers

Transformers, first proposed in a Google research paper in 2017, were initially designed for natural language processing (NLP) tasks. Recently, researchers applied transformers to vision applications ...