“…En él se abordan temas novedosos como la gobernanza de datos como paso previo a la inteligencia artificial, el metaverso o la computación cuántica y sus potenciales impactos en la gestión pública. …”
Enlace del recurso

“…"This book describes how photonic/electronic properties of thin films can be improved by precise control of atomic and molecular arrangements, and demonstrates the prospect of the artificial materials with atomic/molecular-level tailored structures, especially featuring MLD and conjugated polymers with multiple quantum dots (MQDs) called as polymer MQDs. …”

Tabla de Contenidos: “…Arte, inteligencia artificial y subjetividad en el siglo XXI -- Experiencia, narrativa documental y realismo en Sergio Chejfec -- El desafío de enseñar literatura infantil en el nivel superior -- El cuento literario como catalizador del filosofar -- Rostros y umbrales: algunos aportes en torno a tres materiales estéticos -- Representaciones coloniales en la narrativa factual y ficcional de una viajeradel siglo XIX -- La enseñanza de literatura en la educación media de Brasil y de Argentina:posibles encuentros -- Un hombre a pie por la pampa tiene algo de escandaloso -- La exploración narrativa de la fotografía en los textos de Martín Caparrós -- Figuras de escritor en la literatura cubana del siglo XXI: políticas de la lenguay del archivo en Orlando Luis Pardo Lazo -- (Des)géneros: escrituras travestidas y literatura zombi en la narrativa reciente del norte argentino -- Los borradores como espacio de traducción: preliminares -- Poéticas de la sensibilidad. …”

“…"With artificial intelligence developing so rapidly that even some of the biggest names behind the advances are calling for pauses and increased regulation, discussions of the future of work in the age of AI have reached a new level of urgency. …”

Tabla de Contenidos: “…Contracting a decision tree -- Performing classification -- Extracting word embedding representation -- Understanding word embedding -- Performing vector arithmetic -- Performing classification -- Using the fastText tool -- Summary -- Chapter 4: Extracting Sentiments from Product Reviews -- Technical requirements -- Understanding sentiment analysis -- Performing exploratory data analysis -- Using the Software dataset -- Exploiting the ratings of products -- Extracting the word count of reviews -- Exploiting the helpfulness score -- Introducing linear regression -- Putting linear regression into action -- Introducing logistic regression -- Understanding gradient descent -- Using logistic regression -- Creating training and test sets -- Performing classification -- Applying regularization -- Introducing deep neural networks -- Understanding logic gates -- Understanding perceptrons -- Understanding artificial neurons -- Creating artificial neural networks -- Training artificial neural networks -- Performing classification -- Summary -- Chapter 5: Recommending Music Titles -- Technical requirements -- Understanding recommender systems -- Performing exploratory data analysis -- Cleaning the data -- Extracting information from the data -- Understanding the Pearson correlation -- Introducing content-based filtering -- Extracting music recommendations -- Introducing collaborative filtering -- Using memory-based collaborative recommenders -- Applying SVD -- Clustering handwritten text -- Applying t-SNE -- Using model-based collaborative systems -- Introducing autoencoders -- Summary -- Chapter 6: Teaching Machines to Translate -- Technical requirements -- Understanding machine translation -- Introducing rule-based machine translation -- Using direct machine translation -- Using transfer-based machine translation -- Using interlingual machine translation…”

Tabla de Contenidos: “…Cloud Computing -- XR -- Headsets and Glasses -- Artificial Intelligence and Machine Learning -- Woven Together -- The Race Has Begun -- New Rules -- A Great Reset -- Doing Business in the Metaverse -- Digitalizing Humans -- Metaverse Markets -- Interoperability -- Privacy and Safety -- Rights and Regulations -- New Humanity -- Building the Metaverse -- Next Steps -- Notes -- Index -- EULA…”

Tabla de Contenidos: “…1.1.7 MBF Model - the Memoryless PA Behavioural Model of ChoiceAcknowledgements; References; 2 Artificial Neural Network in Microwave Cavity Filter Tuning; 2.1 Introduction; 2.2 Artificial Neural Networks Filter Tuning; 2.2.1 The Inverse Model of the Filter; 2.2.2 Sequential Method; 2.2.3 Parallel Method; 2.2.4 Discussion on the ANN's Input Data; 2.3 Practical Implementation - Tuning Experiments; 2.3.1 Sequential Method; 2.3.2 Parallel Method; 2.4 Influence of the Filter Characteristic Domain on Algorithm Efficiency; 2.5 Robots in the Microwave Filter Tuning; 2.6 Conclusions; Acknowledgement…”

Tabla de Contenidos: “…VIAFácil : Aplicación Inteligente basada en Visión Artificial, como herramienta educativa para Facilitar la Autonomía de las personas con discapacidad intelectual / …”
Acceso desde Summa.

Tabla de Contenidos: “…Ser filósofo en la Edad Media; Página legal; Índice; Presentación; Pedro Abelardo o la dialéctica y sus alcances; El valor de la dialectica en los escritos abelardianos; La "philosophia" en la imagen del filósofo; La dialectica: alcances y límites; Conclusiones; Bibliografía; Ramon Llull o los múltiples rostros de la philosophia; Filosofía gentil; Filosofía natural; La filosofía entre las artes; Filosofía artificial; Filosofía, sierva de la teología; Filosofía divina; Conclusión; Bibliografía; Nicolás de Autrecourt o Aristóteles bajo la lupa…”

Tabla de Contenidos: “…ALIMENTACIÓN NATURAL; VI. ALIMENTACIÓN ARTIFICIAL; VII. DÉFICIT NUTRICIONAL; VIII. NOCIONES GENERALES SOBRE ENFERMEDADES INFECCIOSAS; IX. …”

Tabla de Contenidos: “…NUTRICIÓN ENTERAL: INDICACIONES, TIPOS DE FÓRMULAS, VÍAS DE ACCESO, SEGUIMIENTO Y COMPLICACIONESNUTRICIÓN ARTIFICIAL. VÍAS DE ACCESO. SISTEMAS. SUBSTRATOS; NUTRICIÓN Y ANCIANO; NUTRICIÓN Y ENVEJECIMIENTO: MEJOR NUTRICIÓN, MÁS VIDA; LA EDUCACIÓN NUTRICIONAL EN LA COMUNIDAD Y EN SUS (...); SEGURIDAD ALIMENTARIA. …”

Tabla de Contenidos: “…Table of Contents Giving Computers the Ability to Learn from Data Training Simple Machine Learning Algorithms for Classification A Tour of Machine Learning Classifiers Using Scikit-Learn Building Good Training Datasets - Data Preprocessing Compressing Data via Dimensionality Reduction Learning Best Practices for Model Evaluation and Hyperparameter Tuning Combining Different Models for Ensemble Learning Applying Machine Learning to Sentiment Analysis Predicting Continuous Target Variables with Regression Analysis Working with Unlabeled Data - Clustering Analysis Implementing a Multilayer Artificial Neural Network from Scratch Parallelizing Neural Network Training with PyTorch Going Deeper - The Mechanics of PyTorch Classifying Images with Deep Convolutional Neural Networks Modeling Sequential Data Using Recurrent Neural Networks Transformers - Improving Natural Language Processing with Attention Mechanisms Generative Adversarial Networks for Synthesizing New Data Graph Neural Networks for Capturing Dependencies in Graph Structured Data Reinforcement Learning for Decision Making in Complex Environments…”

Tabla de Contenidos: “…Machine generated contents note: Chapter 1: Do algorithms dream about artificial alphas? Chapter 2: Taming Big data Chapter 3: State of machine learning applications in investment management Chapter 4: Implementing alternative data in an investment Process Chapter 5: Using alternative and Big Data to trade macro assets Chapter 6: Big is beautiful: How email receipt data can help predict company sales Chapter 7: Ensemble learning applied to quant equity: gradient boosting in a multi-factor framework Chapter 8: A social media analysis of corporate culture Chapter 9: Machine Learning & Event Detection for Trading Energy Futures Chapter 10: Natural language processing of financial news Chapter 11: Support-Vector-Machine Based Global Tactical Asset Allocation Chapter 12: Reinforcement learning in finance Chapter 13: Deep learning in Finance: Prediction of stock returns with long short term memory networks Biography of contributors…”

Tabla de Contenidos: “…12 Automotive Telematics -- 13 Virtual and Augmented Reality -- 14 Video Games -- 15 Home Video -- 16 Digital Imaging & Photography -- 17 eHealth -- 18 Esports -- 19 Ebooks -- Section IV Networking Technologies -- 20 Telephony -- 21 The Internet -- 22 The Internet of Things -- 23 Social Media -- 24 Big Data -- 25 Artificial Intelligence -- Section V Conclusions -- 26 Other New Technologies -- 27 Your Future & Communication Technologies -- Index…”

Tabla de Contenidos: “…About the Editor vii -- Preface to "Various Applications of Methods and Elements of Adaptive Optics" ix -- Fabrication and Characterization of an Adaptive Retroreflector (AR) 1 -- The Lattice Geometry of Walsh-Function-Based Adaptive Optics 11 -- Real-Time Correction of a Laser Beam Wavefront Distorted by an Artificial Turbulent Heated Airflow 29 -- On-Demand Phase Control of a 7-Fiber Amplifiers Array with Neural Network and Quasi-Reinforcement Learning 43 -- Adaptive Detection of Wave Aberrations Based on the Multichannel Filter 55 -- Focusing of a Laser Beam Passed through a Moderately Scattering Medium Using Phase-Only Spatial Light Modulator 75 -- Filtered Influence Function of Deformable Mirror for Wavefront Correction in Laser Systems 85 -- State-of-the-Art Technologies in Piezoelectric Deformable Mirror Design 101 -- Development of Singular Points in a Beam Passed Phase Screen Simulating Atmospheric Turbulence and Precision of Such a Screen Approximation by Zernike Polynomials 111 -- Local Correction of the Light Position Implemented on an FPGA Platform for a 6 Meter Telescope 125.…”

Tabla de Contenidos: “…/ Ethics and the computer world : a new challenge for philosophers / Subsumption ethics / Narrative versus logical reasoning in computer ethics / Computer ethics and moral methodology / Anonymous communication policies for the Internet : results and recommendations of the AAAS Conference and Assessing anonymous communication on the Internet : policy deliberations / Who am we? / The artificial intelligentsia and virtual worlds / Little Brother is watching you / The erosion of privacy? …”

Tabla de Contenidos: “…Alternatives to Antibiotics in Semen Extenders Used in Artificial Insemination -- 12. Quorum Sensing Inhibition Based Drugs to Conquer Antimicrobial Resistance -- 13. …”

Tabla de Contenidos: “…/ Darío Gazapo de Aguilera -- La actualidad de la estética de la naturaleza y del paisaje / Simón Marchán Fiz -- Los tiempos de la arquitectura / Francisco Jarauta -- Restaurar lugares / Peter Latz -- Romper barreras : ocho proyectos de arquitectura del paisaje / Kathryn Gustafson -- La planificación del paisaje : el caso de La Paz, BCS, México / Carl Steinitz -- Del patrimonio al paisaje : el convenio europeo del paisaje y el programa del Valle del Nansa / José María Ballester -- Paisajes culturales : de la protección a la gestión inteligente de los procesos de cambio / Miguel Ángel Troitiño Vinuesa -- Geografía o historia / Luis Fernández Galiano -- Siete puntos / Peter Eisenman -- Habitar la naturaleza artificial / Dominique Perrault -- La dimensión del tiempo / Joaquín Ibáñez Montoya -- Paisajes en movimiento / Miguel Ángel Aníbarro…”

Tabla de Contenidos: “…: an archaeologist's view from the past / Steven Mithen -- Artificials, or why Darwin was wrong about humans / Timothy Taylor -- Brain science and belief / Andrew Newberg -- Why Richard Dawkins is wrong about religion / David Sloan Wilson -- Public terror vs. public good : views from Japan and England / Ian Reader -- Buddhism : a better balance in the East? …”

Tabla de Contenidos: “…6.2 Related Work -- 6.3 Datasets -- 6.4 Experimental Setup -- 6.5 Results and Discussion -- 6.5.1 Evaluation Metrics -- 6.6 Conclusion -- 6.6.1 Significance of the Study -- References -- Chapter 7 Exploring the Potential of Dingo Optimizer: A Promising New Metaheuristic Approach -- 7.1 Introduction -- 7.2 Architecture of Dingo Optimizer -- 7.3 Initialization Process -- 7.3.1 Population Size -- 7.3.2 Dingo Population Initialization -- 7.3.3 Fitness Assessment -- 7.3.4 Best Dingo -- 7.3.5 Recordkeeping -- 7.4 Iteration Phase -- 7.6 Other Optimization Techniques -- 7.7 Conclusion -- References -- Chapter 8 Bioinspired Genetic Algorithm in Medical Applications -- 8.1 Introduction -- 8.2 The Genetic Algorithm -- 8.3 Radiology -- 8.4 Oncology -- 8.5 Endocrinology -- 8.6 Obstetrics and Gynecology -- 8.7 Pediatrics -- 8.8 Surgery -- 8.9 Infectious Diseases -- 8.10 Radiotherapy -- 8.11 Rehabilitation Medicine -- 8.12 Neurology -- 8.13 Health Care Management -- 8.14 Conclusion -- References -- Chapter 9 Artificial Immune System Algorithms for Optimizing Nanoparticle Design in Targeted Drug Delivery -- 9.1 Introduction -- 9.2 Artificial Immune Cells -- 9.3 The Artificial Immune System Architecture -- References -- Chapter 10 Diabetic Retinopathy Detection by Retinal Blood Vessel Segmentation and Classification Using Ensemble Model -- 10.1 Introduction -- 10.2 Literature Review -- 10.3 Proposed System -- 10.4 Conclusion and Future Scope -- References -- Chapter 11 Diabetes Prognosis Model Using Various Machine Learning Techniques -- 11.1 Introduction -- 11.1.1 Disease Identification -- 11.1.2 Data, Information, and Knowledge -- 11.1.3 Knowledge Discovery in Databases -- 11.1.4 Predictive Analytics -- 11.1.5 Supervised Learning and Machine Learning -- 11.1.6 Predictive Models -- 11.1.7 Data Validation and Cleaning -- 11.1.8 Discretization…”