Essays about: "Challenges with AI"
Showing result 26 - 30 of 210 essays containing the words Challenges with AI.
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26. Corporate-Startup integration: Understanding the types of startups manufacturing corporates are interested in and how to achieve a successful integration
University essay from Örebro universitet/Institutionen för naturvetenskap och teknikAbstract : KPMG has recognized that large manufacturing corporates in Sweden are experiencing impaired growth possibilities and have therefore started to turn to startups to help with innovation. Corporates have traditionally focused on growth through product improvement or market expansion but have recently started to shift their focus to acquisitions and partnerships with high potential startups. READ MORE
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27. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. READ MORE
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28. An enquiry for being agile using the appreciative inquiry. : Appreciative Inquiry
University essay from Mittuniversitetet/Institutionen för ekonomi, geografi, juridik och turismAbstract : Agile has been a methodology practiced with a significant scope, around the globe. The subject has been dealt with globally for some time now, producing a large databank of literature explaining its different tools and techniques, along with its usage. READ MORE
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29. The Role of Managers in Big Data Analytics
University essay from Lunds universitet/Företagsekonomiska institutionenAbstract : Insights from Big Data can become sources of competitive advantage and a foundation for decision-making, leading to an extended use of such technologies in many firms’ departments. Even if it is common practice to invest in BDA, oftentimes these techniques are not exploited correctly, resulting in an unrewarded effort by companies (Dahiya, Le, Ring & Watson, 2022). READ MORE
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30. Towards gradient faithfulness and beyond
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : The riveting interplay of industrialization, informalization, and exponential technological growth of recent years has shifted the attention from classical machine learning techniques to more sophisticated deep learning approaches; yet its intrinsic black-box nature has been impeding its widespread adoption in transparency-critical operations. In this rapidly evolving landscape, where the symbiotic relationship between research and practical applications has never been more interwoven, the contribution of this paper is twofold: advancing gradient faithfulness of CAM methods and exploring new frontiers beyond it. READ MORE