生態系の概念・要素をメタファとして用いたオープン化をともなうクリエイションの系の考察 / Consideration of Creation System...Yosuke Sakai
生態系の概念・要素をメタファとして用いたオープン化をともなうクリエイションの系の考察
坂井洋右 伊藤隆之 富松潔
ADADA Japan 2015
Consideration of Creation System with Open Sharing Using Concepts and Elements from Ecosystem as Metaphors
Yosuke SAKAI, Takayuki ITO, Kiyoshi TOMIMATSU
ADADA Japan 2015
This document provides an introduction to Tokyo Tech and Tokyo, Japan. It first gives an overview of Tokyo, including its basic information, population statistics, major industries, and must-see places like Tokyo Tower, Tokyo Skytree, and Shibuya. It then discusses Japanese traditions such as anime, public transportation, food, and clothing. The document then summarizes Tokyo Tech, providing its location, student enrollment breakdown, history, key facilities, extracurricular activities including notable club and research achievements, and examples of accomplished alumni and Nobel Prize winners.
Gunkanjima, or Battleship Island, is an abandoned island located 15 kilometers from Nagasaki, Japan that was once home to over 5,000 residents working in coal mining. The island became a UNESCO World Heritage Site in 2015 due to its role in Japan's Meiji-era industrialization through coal mining and steel production. At its peak in the 1960s, the island's population density was nine times that of Tokyo due to high-rise apartment buildings constructed to house the many coal miners and their families living and working on the island. However, the coal mine closed in 1974 as energy production shifted from coal to petroleum, leading the remaining residents to leave and resulting in Gunkanjima
生態系の概念・要素をメタファとして用いたオープン化をともなうクリエイションの系の考察 / Consideration of Creation System...Yosuke Sakai
生態系の概念・要素をメタファとして用いたオープン化をともなうクリエイションの系の考察
坂井洋右 伊藤隆之 富松潔
ADADA Japan 2015
Consideration of Creation System with Open Sharing Using Concepts and Elements from Ecosystem as Metaphors
Yosuke SAKAI, Takayuki ITO, Kiyoshi TOMIMATSU
ADADA Japan 2015
This document provides an introduction to Tokyo Tech and Tokyo, Japan. It first gives an overview of Tokyo, including its basic information, population statistics, major industries, and must-see places like Tokyo Tower, Tokyo Skytree, and Shibuya. It then discusses Japanese traditions such as anime, public transportation, food, and clothing. The document then summarizes Tokyo Tech, providing its location, student enrollment breakdown, history, key facilities, extracurricular activities including notable club and research achievements, and examples of accomplished alumni and Nobel Prize winners.
Gunkanjima, or Battleship Island, is an abandoned island located 15 kilometers from Nagasaki, Japan that was once home to over 5,000 residents working in coal mining. The island became a UNESCO World Heritage Site in 2015 due to its role in Japan's Meiji-era industrialization through coal mining and steel production. At its peak in the 1960s, the island's population density was nine times that of Tokyo due to high-rise apartment buildings constructed to house the many coal miners and their families living and working on the island. However, the coal mine closed in 1974 as energy production shifted from coal to petroleum, leading the remaining residents to leave and resulting in Gunkanjima
Scientific realism is the view that scientific theories aim for truth and acceptance, involving the belief that theories are true. The document outlines scientific realism by discussing defining principles in natural sciences, classification essence, explanation with models, and three realms of the world. It examines how classification involves nominal and real essences, how models represent unobservable phenomena, and how different realms can be observed with and without instruments.
The document discusses improving generalization performance in large mini-batch training for distributed deep learning. It proposes using second-order optimization methods like natural gradient descent (NGD) and K-FAC to converge with fewer iterations, and smoothing the objective function with data augmentation techniques like mixup to avoid sharp minima and improve accuracy. Experimental results show that K-FAC converges faster than SGD but suffers from greater accuracy degradation with large batches. Applying mixup to K-FAC training reduces the accuracy degradation and improves generalization.
The document analyzes the leadership style of Reed Hastings, CEO of Netflix, through a case study. It summarizes Hastings' background and the history of Netflix. It identifies Hastings' leadership style as egalitarian and innovative. It analyzes two examples of Hastings' leadership: 1) Changing Netflix's business model from DVD rental to streaming and 2) Cultivating a unique culture that emphasizes employee freedom, responsibility, and reward over hierarchy. The analysis applies leadership frameworks to demonstrate how Hastings exhibits qualities like courage, judgment, and enabling others. It concludes by recommending lessons for developing one's own leadership skills.
This document summarizes recent research on deep learning with low precision numerical representations. It discusses 6 different methods for reducing precision: 16-bit fixed-point, dynamic fixed-point, 8-bit approximate representation, BinaryConnect, BinaryNet, and XNOR-Nets. For each method, it provides an abstract, the key techniques used, experimental results on datasets like MNIST and CIFAR-10, and a discussion of findings. The overall goal of these methods is to reduce computational and memory costs while maintaining high recognition performance in neural networks.
This document summarizes research conducted by Preferred Networks to train a ResNet-50 model on the ImageNet dataset using a minibatch size of 32,000 across 1024 Tesla P100 GPUs. They were able to complete 90 training epochs in 15 minutes, achieving a validation accuracy of 74.9%. To enable training with such a large minibatch, they employed techniques like RMSprop warmup, slow start learning rates, and batch normalization without moving averages. The training was conducted on Preferred Networks' in-house cluster MN-1 which has 128 nodes each with 8 GPUs connected via InfiniBand FDR interconnect.
New media art encompasses artworks created with emerging technologies like digital art, computer graphics, virtual art, and interactive art. It differentiates itself from traditional visual arts through its cultural objects and social interactions. New media art often involves participation between the artist and observer or among observers. The origins of new media art can be traced back to kinetic art in the early 20th century, but it began incorporating new technologies like video in the 1960s and expanded with computer graphics and the internet in later decades. New media art influences ideas around hypertext, databases, and networks to explore interactive and nonlinear narratives.
The document discusses distributed linear classification on Apache Spark. It describes using Spark to train logistic regression and linear support vector machine models on large datasets. Spark improves on MapReduce by conducting communications in-memory and supporting fault tolerance. The paper proposes using a trust region Newton method to optimize the objective functions for logistic regression and linear SVM. Conjugate gradient is used to approximate the Hessian matrix and solve the Newton system without explicitly storing the large Hessian.
1. ImagineCup 2017 World Finals Report
Tokyo Institute of Technology School of Computing
Department of Computer Science
Yokota Rio Group
Master’s 1st Year
Hiroki Naganuma
3. Imagine Cup is a global competition that empowers the next
generation of computer science students to team up and use
their creativity, passion and knowledge of technology to
create applications that shape how we live, work and play.
7. Imagine Cup
Japan
qualifying
2017/03
Imagine Cup 2017 Japan qualifying First Prize
2017/03
Incentive award of director of School of Computing Tokyo Institute of Technology
2017/02
Tokyo Institute of Technology Engineering Design Competition First Prize
35. - Walky tells “WHAT” and “HOW FAR” the object is
- The Market size is huge (285 million people)
- Scaling from Japan -> Developed Country -> World
- Price would be low enough to buy in developing country
Summary