Deus Ex Machina

Overview of Semiconductor Manufacturing Technology and Application of AI Technology

Overview of semiconductor manufacturing technology and application of AI technology front-end process, wafer fabrication, cleaning process, deposition process, lithography process, etching process, impurity diffusion process, etc.; back-end process, dicing, mounting, bonding, molding, marking, bumping process, packaging, diffusion, ion implantation Annealing, wet etching, dry etching, immersion lithography system, EUV, AR excimer laser, Moore's law, 2nm, photosensitizer, photoengraving technology, stepper, thermal oxidation, CVD, sputter, Choklarsky method, ingot, Si wafer

2023.03.18

コンピューターテクノロジー:Technologyハードウェア

Protected: Explainable Artificial Intelligence (15) model-independent interpretation (sharpley value)

Model-independent interpretation with Sharpe Ray values as explainable artificial intelligence used for digital transformation, artificial intelligence, and machine learning tasks breakDown, fastshap, R language, symmetry axioms, LIME, SHAP, sparse explanation, efficiency, symmetry, dummy, additivity principle, Sharpe Ray values, cooperative game theory

2023.03.17

Uncategorized

Protected: TRPO/PPO and DPG/DDPG, an improvement of the Policy Gradient method of reinforcement learning

TRPO/PPO and DPG/DDPG (Pendulum, Actor Critic, SequentialMemory, SequentialMemory, and SequentialMemory), which are improvements of Policy Gradient methods of reinforcement learning used for digital transformation, artificial intelligence, and machine learning tasks. Adam, keras-rl, TD error, Deep Deterministic Policy Gradient, Deterministic Policy Gradient, Advanced Actor Critic, A2C, A3C, Proximal Policy Optimization, Trust Region Policy Optimization, Python)

2023.03.16

アルゴリズム:Algorithmsグラフ理論スパースモデリング幾何学:Geometry強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: A recommendation system using a measure of similarity between text documents using k-means in Clojure.

Recommendation systems using measures of similarity between text documents using k-means in Clojure leveraged for digital transformation , artificial intelligence , and machine learning tasks Slope One recommendations, top rating calculations, weighted ratings, average difference between paired items, Weighted Slope One, user-based recommendations, collaborative filtering, item-based recommendations, movie recommendation data

2023.03.15

Clojureアルゴリズム:Algorithmsグラフ理論幾何学:Geometry微分積分:Calculus推論技術:inference Technology最適化:Optimization検索技術:Search Technology機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

How to write papers and proposals based on paragraph writing and issue analysis

How to write a thesis or proposal based on paragraph writing and issue analysis (scientific thinking, argumentation, PowerPoint, proposal, topic sentence, paragraph, outline, correlation, rhizome, sequential, inverse tree structure, problem statement, conclusion, argumentation, reporting type, argumentation type, thesis issue, KPI, KGI, OKR, PDCA, systems thinking approach, Kazuhisa Todayama, making thesis)

2023.03.14

課題解決:Problem solving

Using Docker Preparation before Docker Deployment

Leveraging Docker for digital transformation, artificial intelligence, and machine learning tasks Preparation before Docker deployment (Docker Desktop, Docker CE, Docker EE, kubernetes, Swarm, CoreOS, Atomic Host, RancherOS, Snappy Ubuntu Core)

2023.03.13

ICT技術:ICT Technology

About DevOps (Docker, etc.)

About DevOps (Docker, etc.) DevOps is a set of practices that combine software development (Dev) and IT o...

2023.03.12

ICT技術:ICT Technologyクラウド技術

Hardware in Computers

Hardware in Computers Hardware in computers generally refers to physical parts and devices. Computer hard...

2023.03.12

IOT技術:IOT Technologyアーキテクチャコンピューターハードウェア

Application of AI to the semiconductor design process and semiconductor chips for AI applications

Design of semiconductors utilized for digital transformation, artificial intelligence, and machine learning tasks and chips for AI and AI (edge computing, Qualcomm Snapdragon Neural Processing Engine, Intel Nervana Neural Network Processor, Google TPU, NVIDIA Tesla GPU, self-learning, predictive analytics, pattern matching, optimization, anomaly detection, change detection, deep learning)

2023.03.11

ICT技術:ICT Technology

Protected: Optimization methods for L1-norm regularization for sparse learning models

Optimization methods for L1-norm regularization for sparse learning models for use in digital transformation, artificial intelligence, and machine learning tasks (proximity gradient method, forward-backward splitting, iterative- shrinkage threshholding (IST), accelerated proximity gradient method, algorithm, prox operator, regularization term, differentiable, squared error function, logistic loss function, iterative weighted shrinkage method, convex conjugate, Hessian matrix, maximum eigenvalue, second order differentiable, soft threshold function, L1 norm, L2 norm, ridge regularization term, η-trick)

2023.03.10

アルゴリズム:Algorithmsグラフ理論スパースモデリングスパースモデリング幾何学:Geometry微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra