Essays about: "updates"

Showing result 1 - 5 of 359 essays containing the word updates.

  1. 1. Approximating Reasoning with Transformer Language Models

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Daniel Enström; Viktor Kjellberg; [2023-10-19]
    Keywords : natural language processing; nlp; automated reasoning; logic; inference; machine learning; transformers; language models; BERT; BART;

    Abstract : We conduct experiments with BART, a generative language-model architecture, to investigate its capabilities for approximating reasoning by learning from data. For this we use the SimpleLogic dataset, a dataset of satisfiability problems in propositional logic originally created by Zhang et al. (2022). READ MORE

  3. 2. End User Study of an Engineering Design Tool

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Ina Johnson; Ann-Sofie Eriksson; [2023-09-21]
    Keywords : user frustrations; case study; re-engineering;

    Abstract : [Context and Motivation] PROSIT+ Designer is a Volvo Group-developed application focused on operational development for vehicle production. Since its launch, 15 years ago, PROSIT+ Designer has not had any major revisions or updates. [Question/problem] The frustrations from end users are, as a result, piling up. READ MORE

  4. 3. Seasoned Equity Offerings and Disclosure Sentiment Effects: Evidence from the U.S.

    University essay from Göteborgs universitet/Graduate School

    Author : Max Mauritz; Phornchanok Phojan; [2023-06-29]
    Keywords : Seasoned Equity Offerings; Long-Term Event Study; Buy-and-Hold Abnormal Returns; Textual Analysis; Disclosure Sentiment; Disclosure Tone;

    Abstract : This paper updates the data regarding Seasoned Equity Offering firms (SEOs) long-term performance and finds evidence in line with prior research that they underperform in the longterm. Furthermore, using automated textual analysis on the relevant disclosure filings SEO firms in the United States publish (Form 10-K, Form 8-K and Form 424B), we investigate the relationship between disclosure sentiment variables and long-term return performance. READ MORE

  5. 4. Customizable Contraction Hierarchies for Mixed Fleet Vehicle Routing : Fast weight customization when not adhering to triangle inequality

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Martin Larsson; [2023]
    Keywords : Contraction Hierarchies; Customizable Contraction Hierarchies; Vehicle Routing Problem; Battery Electric Vehicles; Mixed Fleet; Kontraktionshierarkier; Anpassningsbara Kontraktionshierarkier; Ruttplanering; Batteridrivna elfordon; Blandad fordonsflotta;

    Abstract : As the transport industry shifts towards Battery Electric Vehicles (BEVs) the need for accurate route planning rises. BEVs have reduced range compared to traditional fuel based vehicles, and the range can vary greatly depending on ambient conditions and vehicle load. READ MORE

  6. 5. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Javier Ferre Martin; [2023]
    Keywords : Space Situational Awareness; Deep Learning; Convolutional Neural Networks; FieldProgrammable Gate Arrays; System-On-Chip; Computer Vision; Dynamic Partial Reconfiguration; High-Level Synthesis; Rymdsituationstänksamhet; Djupinlärning; Konvolutionsnätverk; Omkonfigurerbara Field-Programmable Gate Arrays FPGAs ; System-On-Chip SoC ; Datorseende; Dynamisk partiell omkonfigurering; Högnivåsyntes.;

    Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE