Stanford University’s latest AI statistics report suggests that despite 2020’s overall turbulence and uncertainty, AI remains on a steady course of growth.
Today, we will be looking at the key takeaways from the report.
The healthcare industry played a significant part here in terms of investments.
Although AI-related jobs are experiencing growth across the world, they decreased in the US by 8.2% between 2019 and 2020.
In particular, the category of ‘drugs, cancer, molecular, drug discovery’ received the greatest amount of funds, with over $13.8bn, which is 4.5 times more than 2019.
A notable advancement comes from DeepMind’s AlphaFold applying deep learning technique to arrive at a breakthrough in protein folding.
AI technology has come a long way, and is now able to compose text, images and audio so well that humans have a hard time telling the difference.
At the same time, the field has encountered an ethics and diversity challenge.
The percentage of AI PhD graduates is as follows:
- 45% white
- 2% Hispanic
- 4% African American
In the corporate sphere, computer vision has become industrialised.
Companies are investing a substantial amount of resources to train computer vision systems.
Virtual AI conference attendance appears to be in an upward trend, and it is an important metric of the technology’s adoption.
The authors added that the ongoing COVID-19 pandemic may have played a part in driving more people to participate in AI research conferences.
In general, there is an ever-increasing amount of information and research at our fingertips.
From 2019 to 2020, the number of AI journal publications increased by 34.5%.
From 2018 to 2019, the increase was comparatively smaller at 19.6%.
In 2019, AI publications represented a total of 3.8% of peer-reviewed scientific publications released across the world – in 2011, it was only 1.3%.