AI that evolves quietly, Google and meta development trends in 2022

AI that evolves quietly, Google and meta development trends in 2022

"Artificial intelligence (AI)", which was a buzzword a few years ago, has the impression that the frequency of the media is currently largely decreased.On the other hand, AI development is progressing quietly, and investment and development are still continuing, mainly for technology companies such as GAFAM.There were several breakthroughs in 2021, but AI is expected to evolve further in 2022.Looking back on last year's AI development trends, I would like to summarize the latest information about what is expected in 2022.

AI development movements for large tech giant such as Gafam

ISOMORPHIC LABS website

First of all, I would like to explore Gafam's AI development trends that have a large influence worldwide. What is attracting attention in overseas news is the movement of the British AI company Deep Mind under the umbrella of Google's parent company alphabet. Around 2016, the company has become known for developing AI "Alphago", which broke the professional shogi player. In general, alphago's impact is strong and other achievements are not well known, but in November 2020, a new breakthrough was announced and the media was attracting attention again. This breakthrough has developed the AI ​​software "Alphafold", which predicts what structure the protein is, and is expected to lead to the promotion of the mechanism of the disease and the progress of the drug discovery field. ing. This predictive calculation is said to be an issue for 50 years in the research field, and it is a good idea to solve it with AI. November 2021 The Alphabet announced that it will operate a new drug discovery company Isomorphic Labs in the UK to take advantage of this knowledge of this AI research, along with this company, Demis Hasabis, the founder and CEO of Deep Mind. He has also revealed that it will be used for CEO. According to previous reports, ISOMORPHIC LABS is a separated corporation from deep mind and is operated by individual resources and staff. On the other hand, there is also a collaboration with deep mind in the related areas. Hasabis explains that AI is useful not only in data analysis but also in building models that predict and generate complex phenomena in biological phenomena. According to Markets and Markets, the AI ​​Healthcare Market is expected to grow rapidly from $ 6.9 billion (788.5 billion yen) in 2021 to $ 67.4 billion in 2027.