Conference record: 3rd Data Descriptive Science (day 1)

5-dimension data visualization

• Big data in Materials science, 5D (3D + t + E) time, energy
• Topology of Mine tracking history (continous data)

3D rotation + 4D rotation

• Raw data(4, 1) -> (3, 4)R(1, 4) = (3, 1)

• Visualization on energy fading
  $(X,Y)/rightarrow$

• Function

  • VR device: data panel (with reset)
  • VR device: params setting UI

Topological node2vec (github access)

paper with code: https://paperswithcode.com/paper/topological-node2vec-enhanced-graph-embedding
github: https://github.com/killianfmeehan/topological_node2vec

• Task of finding neighborhoods

• example of how it works
  $N_{l=l,r=r}(A)=A,A,A,A=(0,0,1/3,1/3)$

  • l = length of each walk
  • r = # of walks

• Motivation: RQ = how to connect clips of DNA

  • original data structur (Hi-C data): w-x x-y y-z z-w
  • want to infer w-x-y-x-z-w
  • BUT it is extremely difficult to do so
    -> introduce topology

• How to reach

  • original N2V
  • totally new function with topological

• Future work

  • how to distinguish?

High dimension data analysis

• How can quantify CF alignments in CFRP
• XAFS imaging on Ion-battery material
  In this work, visualization shows that when discharge, different energy status of each point
  • Fe(II) -> Fe(III) charge and discharge process different with spatial
  • Explanation: Ion motion theory? -> reaction distribution
  • On NiO/Ni battery material: same pattern with traditional Fe/Li based battery
    -> visualization and Explanation on inhomogeneity of reaction distribution
• Forging on Fe materials -> how to visualize XAFS
  • New tech on enlarging the view of filed of micro structure of Fe
    • Valance = color ; Scale = um
  • Classification on new measurement (measurement 10hr; analysis 20hr)
    • Classification with Pearson Similarity
    • Task: Segmentation on SEM-EDX

Interval Approximation

arXiv: https://arxiv.org/abs/2308.14979
Intro: detection on data's noise (multiple parameterization)
RQ:

morphism f
A minimal interval resolution of M is sequence

• f restricted to each indecomposable summand of X is an injection

Infinite MDS

ref arXiv: 2201.09385v5
RQ: if X is not well symmetric?

• infinite MDS on $H_j$ -> well defined
• in multiple variables: well defined?

Machine and human language

See Slide provided by Prof. Fukui: Slide

RQ: The shape of the language 'vector?'

• One single word existence effect on contexts-> Transformer?
  Theme: NLP and LLM
• Introduction of previous studies (How NLP evolve)
  • On application:
    • Support human (interpersonal) communication
    • Text completion, bot chats (human-computer interaction)
  • On implication
    • Generalization of human and computer language
• How to build a chatbot based on LLM
  • Prediction of the next word
  • Loss function: cross-entropy
  • LLM for NLPer
    • Terminal of NLP?
    • LLMs also get limited
      • 1st language learning
      • Memorization and Generalization
• How far? and what kind of mechanism it reached?
  • Emergent ability theory -> will LLM reach intelligence?
  • Abstraction ability? in many dimensions
• Machine and human interaction
  • LLM is language but not thoughts

Keywords: #conference #records #math