Since YOLOv7 was proposed on July 7, 2022, fast has once again  become one of the trends in AI research.

YOLOv7 has been widely echoed since its introduction in July 2022. It received the most stars on the AI research Github of the month. Not only that, it also won the fourth place on the twitter AI research list of the month. Research based on YOLOv7 has also sprung up like mushrooms after the rain, and has been cited more than 10 times in just two months. We believe that from now on, various state-of-the-art computer vision systems will use YOLOv7 as the first step for their core systems, including OSTA autonomous driving perception technology, and multi-object tracking, which are popular technologies.

Research based on the twitter AI research list of the month.

  參考資料

The technology and application of artificial intelligence (AI) have been widely used in various fields. Therefore, trustworthy AI has become a highly valued global issue that requires elements such as "fairness", "accountability" and "transparency" to make AI algorithms more transparent, safer and fairer.
 
There will be a total of 9 keynote speeches and one professional discussion in the forum. Welcome to watch the wonderful speeches of the day.

No.	Topic	Name
1	Developing Trustworthy AI for Medicine and Healthcare	Department of Computer Science & Information Engineering National Taiwan University Prof. Shou-De Lin
2	Explaining Anomalies of Black-Box Regression Function	Mathematics National Taiwan University Prof. Weichung Wang
3	On the Robustness and Learnability of Deep AI Models	IBM Research Dr. Tsuyoshi Ide
4	Uncertainty Quantification - Toward Safe and Transparent AI	Department of Computer Science & Information Engineering National Tsing Hua University Prof. Shan-Hung Wu
5	A Natural Language Interface for Databases to Achieve Transfer Learnability	IBM Research Dr. Jiri Navratil
6	AI Model Inspector: Towards Holistic Machine Robustness for Deep Learning	Auburn University Prof. Wei-Shinn Ku
7	Towards Trustworthy Graph Machine Learning	IBM Research Dr. Pin-Yu Chen
8	Reliable Machine Learning for Dynamic Worlds	Department of Statistics National Cheng Kung University Prof. Cheng-Te Li

The Minister of Innovation, Science and Industry, announced the launch of the second phase of the Pan-Canadian Artificial Intelligence Strategy. Backed by an investment of more than $443 million committed in Budget 2021, the second phase of the strategy will seek to bridge world‑class talent and cutting-edge research capacity with commercialization and adoption to ensure that Canadian ideas and knowledge are mobilized here at home.

The second phase of the Pan- Canadian Artificial Intelligence Strategy includes:

1. $60 million for Canada' s national AI institutes- Amii in Edmonton, Mila in Montréal and the Vector Institute in Toronto- to help translate AI research into commercial applications and grow the capacity of businesses to adopt these new technologies.
2. $125 million for Canada' s Global Innovation Clusters to accelerate AI commercialization by supporting Canadian small and medium- sized enterprises, attracting private investment from other public and private sources, and developing made-in-Canada AI solutions.
3. $8.6 million for the Standards Council of Canada to advance the development and adoption of standards and a conformity assessment program related to AI.
4. $160 million for CIFAR to continue programs to attract, retain and develop academic research talent and maintain centres of research, innovation and training at Canada' snational AI institutes.
5. $48 million for CIFAR to renew and enhance its advanced research, training and knowledge mobilization programs.
6. $40 million to provide dedicated computing capacity for AI researchers across Canada.

This investment reflects the government' s commitment to accelerate the responsible adoption and commercialization of AI across the Canadian economy by advancing programs to enhance Canada' s research base and talent pool. This will enable established industries to be more productive and competitive, while helping all Canadians to benefit from growth in the digital economy.

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