Essays about: "Challenges with AI"
Showing result 1 - 5 of 109 essays containing the words Challenges with AI.
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1. Automated Welfare Assessment of Dairy Cattle Using Artificial Intelligence
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The recent boom in Artificial Intelligence (AI) and intelligent decision-support systems has revolutionized efficiency across industries, and there is great value in applying these findings to the dairy industry. With the growth of the dairy industry comes a need for new and innovative tools to support the increased demand. READ MORE
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2. Entrepreneurial Ecosystem Challenges for AI Startups Internationalization : Evidence from Emerging Markets Case Studies
University essay from Linnéuniversitetet/Institutionen för marknadsföring (MF)Abstract : The process of internationalization may be more difficult for emerging markets' artificial intelligence startups (AI startups) due to several challenges. These challenges include weak institutions, limited financial support, political instability, lack of adequate local infrastructure. READ MORE
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3. Barriers of implementing circularity and Industry 4.0 related solutions : From the perspective of a manufacturer of food processing equipment
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : As environmental and social challenges have increasingly become more pressing in recent years, the concept of Circular Economy (CE) has gained a lot of traction with scholars. However its adoption in the practical world is not far along and companies therefore struggle with understanding and implementing CE. READ MORE
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4. Embracing AWKWARD! A Hybrid Architecture for Adjustable Socially-Aware Agents
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This dissertation presents AWKWARD: a hybrid architecture for the development of socially aware agents in Multi-Agent Systems (MAS). AWKWARD bridges Artificial Intelligence (AI) methods for their individual and combined strengths; Behaviour Oriented Design (BOD) is used to develop reactive planning agents, the OperA framework is used to modeland validate agent behaviour as per social norms, and Reinforcement Learning (RL) is used to optimise plan structures that induce desirable social outcomes. READ MORE
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5. Detecting gastrointestinal abnormalities with binary classification of the Kvasir-Capsule dataset : A TensorFlow deep learning study
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : The early discovery of gastrointestinal (GI) disorders can significantly decrease the fatality rate of severe afflictions. Video capsule endoscopy (VCE) is a technique that produces an eight hour long recording of the GI tract that needs to be manually reviewed. READ MORE
