Google DeepMind Introduces Hawk and Griffin, AI for Efficient Language Models

Google DeepMind introduces two unique machine learning models, Hawk and Griffin, combining gated linear recurrences with local attention for efficient language models. Plus, using generative AI to improve software testing, a new AI model accurately identifies tumors and diseases in medical images, and police develop a deepfake detection tool to stamp out AI-driven crimes.

Sources:
https://www.marktechpost.com/2024/03/04/google-deepmind-introduces-two-unique-machine-learning-models-hawk-and-griffin-combining-gated-linear-recurrences-with-local-attention-for-efficient-language-models/
https://news.mit.edu/2024/using-generative-ai-improve-software-testing-datacebo-0305
https://www.news-medical.net/news/20240304/New-AI-model-accurately-identifies-tumors-and-diseases-in-medical-images.aspx
https://www.koreatimes.co.kr/www/nation/2024/03/251_370010.html

Outline:
(00:00:00) Introduction
(00:00:44) Google DeepMind Introduces Two Unique Machine Learning Models, Hawk And Griffin, Combining Gated Linear Recurrences With Local Attention For Efficient Language Models
(00:04:13) Using generative AI to improve software testing
(00:07:17) New AI model accurately identifies tumors and diseases in medical images
(00:10:16) Police develop deepfake detection tool to stamp out AI-driven crimes