What has led to the growth of AI in recent years?

Much of the recent immense growth of AI has been largely due to improved capacities to “mine” using ML the existing discoveries of humanity and nature more generally (Moeslund and Granum, 2001; Calinon et al., 2010; Caliskan et al., 2017).

What were the main factors in massive adoption of deep learning in the recent decades?

1) Data — Thanks to the Internet and IoT devices the amount of data generated is growing exponentially. 2) Compute — The hindrance that we faced in the previous decades was solved, which in turn boosted the power of AI. Many companies have started creating hardware specifical for training Deep Learning models.

Which of the following are examples of successful recent AI applications?

8 Examples of Artificial Intelligence

• Maps and Navigation. AI has drastically improved traveling.
• Facial Detection and Recognition.
• Text Editors or Autocorrect.
• Search and Recommendation Algorithms.
• Chatbots.
• Digital Assistants.
• Social Media.
• E-Payments.

What are the reasons for which AI is gaining popularity give one recent achievements of AI?

The term artificial intelligence was coined in 1956, but AI has become more popular today thanks to increased data volumes, advanced algorithms, and improvements in computing power and storage. Early AI research in the 1950s explored topics like problem solving and symbolic methods.

What are the two biggest drivers for the current rise in deep learning?

The increased processing power afforded by graphical processing units (GPUs), the enormous amount of available data, and the development of more advanced algorithms has led to the rise of deep learning.

Should we be arguing about AI and machine learning?

The most famous advances in AI and machine learning h a ve already received too much attention and arguing about them will amplify that bias. By comparison, it is much more interesting to look at what was overlooked.

How were the breakthroughs in machine learning achieved?

The breakthroughs, while they involve many new architectures and ideas, were all achieved using the usual “Supervised Learning” process from machine learning. Specifically the steps are:

Can deep learning and quantum computing bridge the AI gap?

Advanced technologies such as deep learning algorithms are also playing an increasingly critical role in the development of quantum computing research. Baidu’s innovations. Baidu achieved a number of technical breakthroughs in 2020 that promise to bridge AI and quantum computing.

Which AI models are making the biggest progress in visual understanding?

Baidu’s vision-language model ERNIE-ViL also achieved significant progress in visual understanding, ranking first on the VCR leaderboard, a dataset of 290,000 questions built by the University of Washington and the Allen Institute for AI, that aims to test visual understanding ability.

https://www.youtube.com/watch?v=mhutZM8Hmt8