[Japanese] Skinny Framework で始める Scala #jjug_ccc #ccc_r24Kazuhiro Sera
English version is here: http://www.slideshare.net/seratch/jjug-ccc-2014springeng
http://www.java-users.jp/?page_id=1048#R2-4
Sapporo.js is a community for people interested in JavaScript that meets in Sapporo, Japan. The document discusses NotHub, a notification client for GitHub that allows users to receive notifications from GitHub. It installs on a user's computer and sets up to receive notifications when events like pushes or pull requests occur on GitHub repositories a user follows. The presentation encourages attendees to try out NotHub to more easily stay up to date on GitHub activity.
The document discusses techniques for writing clean JavaScript code. It provides examples of code smells and improvements to address issues like attaching events from the outside, separating selection from logic, shallow scope, overwriting default behavior, and separating logic from views. The document advocates for practices like modularizing functions, separating DOM manipulation from models, and creating model objects to represent DOM elements rather than directly manipulating the DOM. It encourages learning clean JavaScript techniques to write better structured and more maintainable code.
This document discusses Node.js, a platform for building scalable network applications. It provides an overview of Node.js and how its asynchronous and event-driven architecture makes it well-suited for real-time web applications with many simultaneous connections. Examples are given of how Node.js handles IO operations efficiently without blocking, and how JavaScript callbacks allow processing many requests concurrently. Upcoming meetups on Node.js in Sapporo, Japan are also advertised.
This study aims to develop an interactive idea-generation support system that enables users to consider the potential side effects of realizing new ideas.
In idea generation, confirmation bias often leads to an excessive focus on ``convenience,'' which can result in the oversight of unintended consequences, referred to as the ``side effects of convenience.''
To address this, we explored methods to alleviate user biases and expand perspectives through system-supported dialogue, facilitating a broader consideration of potential side effects.
The proposed system employs a stepwise idea-generation process supported by large language models (LLMs), enabling users to refine their ideas interactively.
By dividing the ideation process into distinct stages, the system mitigates biases at each stage while promoting ideas' concretization and identifying side effects through visually supported dialogues.
Preliminary evaluation suggests that engaging with the proposed system fosters awareness of diverse perspectives on potential side effects and facilitates the generation of ideas that proactively address these issues.
論文紹介:「Amodal Completion via Progressive Mixed Context Diffusion」「Amodal Insta...Toru Tamaki
Katherine Xu, Lingzhi Zhang, Jianbo Shi; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, "Amodal Completion via Progressive Mixed Context Diffusion"CVPR2024
https://openaccess.thecvf.com/content/CVPR2024/html/Xu_Amodal_Completion_via_Progressive_Mixed_Context_Diffusion_CVPR_2024_paper.html
Minh Tran, Khoa Vo, Tri Nguyen, and Ngan Le,"Amodal Instance Segmentation with Diffusion Shape Prior Estimation"ACCV 2024
https://uark-aicv.github.io/AISDiff/