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Automata and state transitions/Petri nets, automatic planning and counting problems

Automata and state transitions/petri nets and automatic planning utilized for digital transformation, artificial intelligence and machine learning tasks digital game AI, spatial and temporal awareness, autonomous agents, C4, hierarchical FSM, reflective AI, FSM, GA, behavior trees, Distributed systems, communication protocols, database transactions, parallel systems, workflow models, business process models, digital circuits, programming languages, natural language processing, Turing machines, pushdown automata, Moore-type, Mealy-type, deterministic FSM, DFSM, deterministic finite automata, nondeterministic finite automata, DFA, NFA

2023.04.02

ICT技術:ICT Technologylife tips人工知能:Artificial Intelligence

Overview of RFID and its applications and integration with AI technology

Overview of RFID and its applications in digital transformation, artificial intelligence and machine learning tasks and its integration with AI technologies cost reduction, IMPINJ Inc, M700, privacy, radio interference, distance limitation, standardization, smart cities, logistics, Supply chain management, asset management, Web 3.0, WoT, IoT, manufacturing, healthcare, agriculture, logistics, RFID tags, RFID readers, databases

2023.04.01

ICT技術:ICT TechnologyIOT技術:IOT TechnologyStream Data Processingアーキテクチャコンピューター

Protected: Explainable Artificial Intelligence (16) Model independent interpretation (SHAP (SHapley Additive exPlanations))

Model independent interpretation with SHAP as an explainable artificial intelligence used for digital transformation, artificial intelligence and machine learning tasks scikit-learn, xgboost, LightGBM, tree boosting, R, shapper, fastshap, TreeSHAP, KernelSHAP, partial dependence plot, permutation feature importance, feature importance, feature dependence, interactions, clustering, summary plots clustering, summary plots, atomic unit, LIME, decision tree, game theory, clustering, SHAP interaction values, ALE plot, image mapping, consistency, missing, local correctness, efficiency, symmetry, dummyness, additivity, SHapley Additive exPlanations, local surrogate models

2023.03.31

アルゴリズム:Algorithms説明できる機械学習

Protected: Value Assessment and Policy and Weaknesses in Deep Reinforcement Learning

Value assessment and strategies and weaknesses in deep reinforcement learning used for digital transformation, artificial intelligence, and machine learning tasks poor sample efficiency, difficulty in validating methods as well, impact of implementation practices on performance, library initial values, poor reproducibility, over-training, local optimum, dexterity, TRPO, PPO, continuous value control, image control, policy-based, value-based

2023.03.30

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

Implementation using Clojure’s graphical tools seesaw and Quill

UI (graphics, libraries, Quill, tutorial, user interface, Java, Swing) with simple graphical tools using Clojure/seesaw utilized for digital transformation (DX), artificial intelligence (AI), machine learning (ML) tasks.

2023.03.29

ClojureJavaコンピューターユーザーインターフェース/データビジュアライゼーション

Differences between statically/dynamically typed languages in programming

Differences between statically/dynamically typed languages in programming used for digital transformation, artificial intelligence, and machine learning tasks Haskell, Scala, Java, type inference, JSON, automated unit testing, compilation, agile development, waterfall development, data structures, interfaces, method signatures, readability, Ruby, ease of writing, execution speed, acceleration, C, C++, Pyhton

2023.03.28

プログラミング言語:Programming Language

Overview and Implementation of the Satisfiability Determination Problem (SAT: Boolean SAtisfiability) of Propositional Logic

Overview and implementation of the satisfiability decision problem (SAT: Boolean SAtisfiability) for propositional logic, which is used in digital transformation, artificial intelligence, and machine learning tasks Clojure Rollingstones, Pyhton, PySAT, z3-solver, C++, 2-SAT, game AI, natural language processing acceleration, combinatorial optimization problem efficiency, hyperparameter optimization, computer security, automatic software specification verification, automatic chip design verification, zChaff, WalkSAT, GRASP, CryptoMiniSat, MapleSAT, Scavel, PicoSAT, MiniSAT, CaDiCaL, Lingeling, Glucose, P≠NP prediction, logic problems

2023.03.27

推論技術:inference Technology数理論理学:Mathematical logic

Artificial Intelligence Technology as a Case Study in DX

Specific Applications of Artificial Intelligence Technology for DX Applications Artificial intelligence...

2023.03.26

ICT技術:ICT Technology人工知能:Artificial Intelligence

Parallel and Distributed Processing in Machine Learning

Parallel and Distributed Processing in Machine Learning The learning process of machine learning requires hi...

2023.03.26

Large-Scaleデータアルゴリズム:Algorithmsオンライン学習分散並列処理機械学習:Machine Learning非同期/並行処理:Asynchronous/parallel processing

The basic operation of the physical level of wireless communication

On the basic physical level operation of wireless communications utilized for digital transformation, artificial intelligence, and machine learning tasks (carrier frequency, channel, bandwidth, Bluetooth, carrier, 2.4 GHz, amplitude modulation, frequency modulation, SoC, horn antenna , dipole antennas, monopole antennas, microstrip antennas, Yagi-Uda antennas, Heinrich Hertz, Maxwell's equations, James Clerk Maxwell, wireless communications)

2023.03.25

IOT技術:IOT Technologyアーキテクチャテクノロジー:Technologyネットワーク技術ハードウェア