Essays about: "artificial intelligence development"

Showing result 1 - 5 of 296 essays containing the words artificial intelligence development.

  1. 1. "The Uphill AI Contract Challenge The Intra-Active Task: Reimagining Contracts"

    University essay from Göteborgs universitet/Juridiska institutionen

    Author : Filip Seiborg Wikström; [2024-02-16]
    Keywords : AI; Contract Law; New Materialism; Karen Barad; Intra-Action; Spacetimemattering; Ethico-Onto-Epistem-Ology; Cartesian-Newtonian paradigms; Antimethodology; Agency; Machine Learning;

    Abstract : The traditional contract theories are insufficient to handle the challenges Artificial Intelligence (AI) is currently causing and will continue to cause to contract law. These challenges involve problems concerning the subject/object divide, agency, the embedding of legal code into interactive programming code, and ethical aspects concerning the transfer of power away from lawyers. READ MORE

  3. 2. Navigating Industry 4.0 to Industry 5.0 : Challenges and Strategies for Workforce Transition and its Relation to SDGs

    University essay from KTH/Energisystem

    Author : Dhairysheel Shivaji Ambhore; [2024]
    Keywords : Industry 4.0; Industry 5.0; Sustainable Development Goals SDGs ; industry 4.0; industry 5.0; hållbarhetsmål SDGs ;

    Abstract : The Fourth Industrial Revolution, known as Industry 4.0, has ushered in a new era of technological advancement and disruption across Manufacturing Industries. As organizations embrace digital technologies, artificial intelligence, and automation, the workforce faces profound changes in job roles, skill requirements, and training needs. READ MORE

  4. 3. Challenges for Artificially Intelligent Medical Devices in the Nordics and Suggested Strategies to Respond

    University essay from Lunds universitet/Innovationsteknik

    Author : Alva Rampe; Linea Holström; [2024]
    Keywords : Artificial Intelligence; Medical Device; HealthTech; Innovation Barriers; Technology and Engineering;

    Abstract : With aging populations, unequal access to care, and shortages of staff, healthcare systems today are facing many challenges. Technology advancements, with artificial intelligence (AI) in particular, have been one of the main drivers of innovation in multiple industries. READ MORE

  5. 4. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : William Pettersson; [2024]
    Keywords : Transformer; Decoder; Decoder-only; AI; Artificial intelligence; Generating; generative model; Chess;

    Abstract : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. READ MORE

  6. 5. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Alexander Florean; [2024]
    Keywords : Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE