Google Translate supports 103 languages and handles 500 million daily requests. Neural Machine Translation System (GNMT) launched in 2016. System uses about 32,000 dictionary segments for translation
Speech recognition converts spoken words into readable text using computer algorithms. Systems analyze audio, break it into parts, digitize and match to text. Different from text-to-speech, which converts text to spoken audio
GANs are two neural networks competing in a zero-sum game. Generator aims to minimize objective while discriminator maximizes it. Training involves generating new data while discriminator evaluates it
AI enables computers to perform advanced functions like language understanding and data analysis. AI systems learn through exposure to vast amounts of data and identify patterns. Machine learning and deep learning are main components of AI systems
GNNs are specialized neural networks for tasks with graph inputs. Key design element is pairwise message passing between graph nodes. Message passing layers map graph representations into updated node representations
AI applies advanced analysis and logic to interpret events and automate decisions. Large language models (LLMs) are text-oriented AI trained on billions of words. Machine learning extracts knowledge from data using statistical models. Deep learning uses multiple layers to transform raw data at every level