Google DeepMind Youtube channel statistics
Date | Video views | Estimated earnings |
---|---|---|
26.03.2024 Tue | +29,480 | $ 11 - $ 66 |
22.03.2024 Fri | +23,345 | $ 8 - $ 52 |
18.03.2024 Mon | +26,647 | $ 9 - $ 59 |
15.03.2024 Fri | +19,790 | $ 7 - $ 44 |
11.03.2024 Mon | +26,558 | $ 9 - $ 59 |
07.03.2024 Thu | +20,373 | $ 7 - $ 45 |
04.03.2024 Mon | +20,071 | $ 7 - $ 45 |
01.03.2024 Fri | +27,594 | $ 10 - $ 62 |
26.02.2024 Mon | +15,963 | $ 5 - $ 35 |
24.02.2024 Sat | +79,866 | $ 29 - $ 179 |
14.02.2024 Wed | +36,174 | $ 13 - $ 81 |
10.02.2024 Sat | +60,980 | $ 22 - $ 137 |
05.02.2024 Mon | +48,868 | $ 18 - $ 109 |
01.02.2024 Thu | +46,273 | $ 17 - $ 104 |
Google DeepMind biography
Google DeepMind is an artificial intelligence (AI) research organization founded in London, UK, in September 2010. It was acquired by Google in 2014 and has since become a subsidiary of Alphabet Inc., Google's parent company. DeepMind is known for its work in areas such as deep learning, reinforcement learning, and general AI. The company's mission is to solve intelligence and then use that to solve everything else. DeepMind has made significant advancements in AI, particularly with its AlphaGo program that defeated world champion Go player Lee Sedol in 2016. It has also developed AI systems capable of beating professional players in games like chess, shogi, and poker.
Google DeepMind controversies
DeepMind has faced controversies surrounding data privacy and healthcare. In 2016, DeepMind faced criticism for its collaboration with the UK's National Health Service (NHS), where it was given access to patient data. The partnership raised concerns about data security and privacy. DeepMind later established an independent review board to oversee its healthcare projects and address the concerns. In 2018, DeepMind announced a reorganization and transferred its healthcare division to Google. This raised further concerns about the use of patient data and the potential commercialization of healthcare technology. Despite the controversies, DeepMind continues to push the boundaries of AI research and has been working on projects beyond games and healthcare, such as energy efficiency and protein folding.