ICT技術:ICT Technology

Symbolic Logic

Overview of the Knowledge Graph and summary of related presentations at the International Society for the Study of Knowledge Graphs (ISWC)

Overview of knowledge graphs used for digital transformation, artificial intelligence, and machine learning tasks and summary of related presentations at the International Society for the World Wide Web Conference ISWC (ISWC, natural language processing, reasoning techniques, data analytics, robotics, IOT, search engine, inference engine Entity Extraction, Picture Entity Linking, Relational Learning, Deep Learning, Fusion of Logic and Probability, Relationship Extraction, Topic Models, Chatbots, Question Answering, Semantic Web Technologies, Knowledge Information Processing, RDF Store, SPARQL, Ontology Matching, Database Technologies)
ICT技術:ICT Technology

IA (Intelligence Augmentation) overviews and its application cases

Intelligence Augmentation used for digital transformation, artificial intelligence, and machine learning tasks and its application examples (application examples in the agriculture sector, transportation sector, energy sector, defense sector application examples, application examples in the financial industry, application examples in the manufacturing industry, application examples in the educational domain, application examples in the medical domain, perception, understanding, judgment, decision, learning, problem solving, creativity, capability, complementation, amplification)
Clojure

Protected: Implementation of recommendation algorithm using Clojure/Mahout

Implementation of recommendation algorithms using Clojure/Mahout for digital transformation, artificial intelligence, and machine learning tasks information retrieval statistics, precision, recall, DCG, IDCG, Ideal Discounted Cumulative Gain, Discounted Cumulative Gain, Discounted Cumulative Gain, fall-out, F-measure, harmonic mean, RMSE, k-nearest neighbor method, Pearson correlation, Spearman's rank correlation coefficient, Pearson correlation similarity, similarity measure Jaccard distance, Euclidean distance, cosine distance, pairwise differences, item-based, user-based
web技術:web technology

Overview of Container Technology and Docker for Cloud Native

Overview of container technologies that enable cloud-native utilized for digital transformation, artificial intelligence, and machine learning tasks and Docker container images, build/push functionality, cri-o, container execution, Kubernetes, the containerd, CRI-Containerd, low-level container runtime, high-level container runtime, kernel functionality, Open Container Initiative, OCI, Runtime Specification, Format Specification, Copy-on-Write, COW, cgroups, hierarchies, file systems, namespaces, virtual OS, Paas, Linux
IOT技術:IOT Technology

Operating system e.g. Linux

Operating system e.g. Linux An operating system is a type of software that manages the entire system, imple...
web技術:web technology

Cloud Computing Technology

Cloud Computing Technology Cloud computing will be a service that provides computing resources using multip...
アーキテクチャ

The computing elements and semiconductor chips that make up a computer

Computational elements and semiconductor chips that make up computers utilized for digital transformation, artificial intelligence, and machine learning tasks (switching, MOSFETs, disjunction, conjunction, negation, silicon, statistical physics, dopants, periodic table, binary operations, Boolean algebra, bits, bytes)
web技術:web technology

Server Technologies

Server technologies (nginx, Microsoft Internet Information Server (IIS), LightSpeed, lighthttpd, CERN httpd, NCSA HTTPd, Apache server, LAMP, event-driven, prefork-type) used for digital transformation, artificial intelligence, machine learning tasks
アーキテクチャ

network technology

Network technologies used for digital transformation, artificial intelligence, and machine learning tasks (Internet, ARPANET, Internet Protocol Suite, encapsulation, Open Systems Interconnection, HTML, protocols, TCP/IP, IPV6, Ethernet)
アルゴリズム:Algorithms

Protected: Application of Neural Networks to Reinforcement Learning Policy Gradient, which implements a strategy with a function with parameters.

Application of Neural Networks to Reinforcement Learning for Digital Transformation, Artificial Intelligence, and Machine Learning tasks Policy Gradient to implement strategies with parameterized functions (discounted present value, strategy update, tensorflow, and Keras, CartPole, ACER, Actor Critoc with Experience Replay, Off-Policy Actor Critic, behavior policy, Deterministic Policy Gradient, DPG, DDPG, and Experience Replay, Bellman Equation, policy gradient method, action history)
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