Machine Learning >>> Deep Learning
- Carbonoi
- Sep 21, 2024
- 2 min read
Every second, AI is becoming even more sophisticated. As we know, AI has the ability to learn by itself from the data provided, known as Machine Learning (ML), but what’s next?
In the past decade, with advancements in digital technology, the computing power of machines has become more efficient, and the global population has contributed vast amounts of digital data to the internet.
Scientists have developed a process of computer learning called Deep Learning (DL), which consists of millions of computing units, allowing AI to learn from enormous datasets more quickly and accurately.
AI is being applied in many fields, such as facial recognition cameras, self-driving cars, x-ray systems for tuberculosis screening, etc., including the fight against global warming. Let’s look at some current real-world applications:
Analyzing satellite images to predict the amount and rate of glacier melting, which affects ocean water levels.
Monitoring real-time changes in forests, including deforestation and assessing the carbon stored in forests.
Improving production efficiency, reducing waste in the industrial sector, and decreasing greenhouse gas emissions, which are the villains causing global warming.
Using AI to automatically classify and sort waste. For example, in the UK, AI can separate more than 50 types of waste at the end of the process, whereas households can only sort 1-5 types, resulting in better recycling management.
The UN uses AI as a tool to transform economies in Africa by predicting erratic weather conditions to plan for agricultural and public health risks.
#AIforClimateChange is gaining momentum and has many interesting stories to tell. If you want to know more about a specific aspect, feel free to comment!
Interesting fact from Ajarn Fon “In Thailand, there are many AI researchers working on DL, spread across universities and the private sector. We use DL to solve local problems or in our own languages, such as tools for reading text like OCR or converting voice to text”
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