Sökning: "Data-centric AI"

Hittade 4 uppsatser innehållade orden Data-centric AI.

1. 1. Low-power Acceleration of Convolutional Neural Networks using Near Memory Computing on a RISC-V SoC

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Kristoffer Westring; Linus Svensson; [2023]
   Nyckelord :FPGA; ASIC; Near Memory Computing; RISC-V; Convolutional Neural Network; Technology and Engineering;

   Sammanfattning : The recent peak in interest for artificial intelligence, partly fueled by language models such as ChatGPT, is pushing the demand for machine learning and data processing in everyday applications, such as self-driving cars, where low latency is crucial and typically achieved through edge computing. The vast amount of data processing required intensifies the existing performance bottleneck of the data movement. LÄS MER

3. 2. Methods for data and user efficient annotation for multi-label topic classification

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Agnieszka Miszkurka; [2022]
   Nyckelord :Natural Language Processing; Multi-label text classification; Active Learning; Zero-shot learning; Data Augmentation; Data-centric AI; Naturlig språkbehandling; Textklassificering med multipla klasser; Active Learning; Zero-shot learning; Data Augmentation; Datacentrerad AI;

   Sammanfattning : Machine Learning models trained using supervised learning can achieve great results when a sufficient amount of labeled data is used. However, the annotation process is a costly and time-consuming task. There are many methods devised to make the annotation pipeline more user and data efficient. LÄS MER

4. 3. Understanding the Challenges and Needs of Requirements Engineering for Data-centric Systems

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Författare :Venkata Sai Abhishek Poolla; Bhargav Krishna Mandava; [2021]
   Nyckelord :Requirements Engineering RE ; Multiple Case Study; Survey; Practices; Challenges.;

   Sammanfattning : Background: As technology is advancing day by day, people tend to produce enormous volumes of data. This exceptional growth in data is leading to an increase in the development of intelligent systems that make use of this huge data available. LÄS MER

5. 4. From Human Intelligence to Artificial Intelligence

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för företagande och ledning; Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategi

   Författare :Linus Olin; Yuqing Jiang; [2019]
   Nyckelord :Artificial intelligence; AI-driven Analytics; Change Management; Three-Stage of Change; Dynamic Capabilities;

   Sammanfattning : Artificial intelligence, claimed to represent not only the future of technology development, but also a fundamental shift of our society, has become a hot topic among today's business, when the idea of "data-centric decision making" resulting in better firm performance is shared by more and more researchers and practitioners. However, the number of organizations who have successfully adopted AI analytics into their business is limited. LÄS MER