Challenge AFI 08
Lack of Sufficient Amount of Dissolved Oxygen in Water (The First Limiting Factor in Increasing the Production Capacity of Aquatic Animals)
In conventional methods of aeration, it is not possible to provide sufficient oxygenation for intensive cultivation. Therefore, the use of aeration methods with a high oxygen transfer rate can solve this problem to a large extent and increase the amount of oxygen to the supersaturated state. Semnan Science and Technology Park (SSTP)Islamic Republic of Iran
Challenge AFI 07
Microalgae production and maintenance challenges
Semnan Science and Technology Park (SSTP)Islamic Republic of Iran
Challenge AIC 01
Unsupervised Machine Learning
Unsupervised machine learning algorithms infer patterns from a dataset without using known or labeled outcomes as a guide. Unsupervised machine learning methods cannot be applied directly to a regression or classification problem because you have no idea what the values for the output data might be, making it impossible to train the algorithm normally. Unsupervised […]
Challenge AIC 02
Explainable AI
The notion refers to the ability to explain an AI model, its expected impact, and potential biases. It contributes to the definition of model accuracy, fairness, transparency, and outcomes in AI-powered decision making. Explainable AI is critical for an organization to build trust and confidence when deploying AI models. As AI advances, humans are challenged […]
Challenge AIC 03
AI as a Multidisciplinary Field of Research
These days, the world is facing a multidimensional challenge of integrating the concept of AI into our every-day life, making effectively positive sense out of it, and creating a commonly accepted legal framework to “accommodate” the phenomenon. This challenge is of a complex as well as interdisciplinary nature, and the latter point is usually missed […]
Challenge AIC 04
Expanding Educational Justice Through Technology
Educational justice is defined as the provision of learning opportunities for the all-round development of all human beings. In order to achieve social justice, education should be in such a way that we could identify the talent and ability of students anywhere in the country, value them and provide infrastructure for their flourishing. From this […]
Challenge AIC 05
Keys to Promote Artificial Intelligence
Malaysia Higher Education has incorporated knowledge of Artificial Intelligence in many sectors like Computer Science and Engineering to create systems and machine learning which can solve problems in many sectors. For example, enhancing customer experience, augmenting employees’ capabilities, and stimulating a higher value by adding work experience. Underneath the IR 4.0 and MyDigital blueprint in […]
Challenge AIC 06
Assistive Educational Technology for Autism
In Malaysia, the number of children with autism spectrum disorder (ASD) or neurological differences has increased dramatically. According to autism statistics, 1.6 out of 1000 Malaysian children have been identified as on the spectrum, and the figures keep increasing with an established prevailing rate of 1-2% globally. Alongside this, the biggest challenge for individuals with […]
Challenge AIC 07
Internet and Telecommunication Network Factors
Nowadays, IoT technology is increasingly used in daily life, but in rural areas its use is still not possible due to the internet and telecommunication network factors. Therefore, an effort needs to be made by experts so that communities in the rural areas can also use IoT technology in the future. The Challenge: What are […]
Challenge AIC 08
Online Identity Verification
In order to authenticate the ID document whether original or fake/copy, the security features in the ID document need to be detected and then verified. AI/ML techniques can be used to detect these security features; however, they need a large dataset. Unfortunately, due to privacy concerns, for all practical purposes, it is difficult to obtain […]