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
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