الصفحة 1
الصفحة 1
New Frontiers in Artificial Intelligence ; Joint JSAI 2005 Workshop Post-Proceedings
The objectives of this book are to present the award papers from the 19th annual conference of JSAI 2005 and the selected papers from the ?ve co-located international workshops and to promote the study exchange among worldwide researchers. Five papers received awards among more than 200 presentations in the conference, and 40 papers were selected from the workshops of Logic and Engineering of Natural Language Semantics 2005 (LENLS 2005), Learning with Logics and Logics for Learning (LLLL 2005), Agent Network Dynamics and Intelligence (ANDI 2005), Conversational Informatics (CI 2005) and Risk Management Systems with Intelligent Data Analysis (RMSIDA 2005).
New Algorithms, Architectures and Applications for Reconfigurable Computing
New Algorithms, Architectures and Applications for Reconfigurable Computing consists of a collection of contributions from the authors of some of the best papers from the Field Programmable Logic conference (FPL’03) and the Design and Test Europe conference (DATE’03).
Neuroscribe = نيوروسكرايب
Neuroscribe is a cutting-edge deep learning framework designed to address the complexities and inefficiencies encountered in existing frameworks like PyTorch and TensorFlow. Aimed at streamlining model development and enhancing performance across diverse hardware environments, NeuroScribe offers a lightweight and flexible solution. The framework features a robust tensor library, an auto-differentiation engine, a comprehensive neural network module, and advanced optimization algorithms. With built-in visualization tools and a user-friendly interface, NeuroScribe simplifies both beginner and advanced workflows. Its cross-platform compatibility, supported by CUDA and Metal Performance Shaders (MPS), ensures optimal performance, and in some scenarios, NeuroScribe demonstrates superior speed compared to leading frameworks. Additionally, NeuroScribe introduces unique libraries and features not found in other frameworks, further enhancing its versatility and appeal. The modular architecture and automatic system detection further enhance its adaptability, making NeuroScribe a versatile and powerful tool for deep learning practitioners.
Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action Systems
This book presents biologically inspired walking machines interacting with their physical environment. It describes how the designs of the morphology and the behavior control of walking machines can benefit from biological studies. The purpose of this book is to develop a modular structure of neural control generating different reactive behaviors of the physical walking machines, to analyze the neural mechanisms underlying the reactive behaviors, and to demonstrate the sensor fusion technique leading to smooth switching between appropriate behaviors, like obstacle avoidance and sound tropism.
Neural networks and deep learning
Covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems.
Networking and Mobile Computing ; 3rd International Conference, ICCNMC 2005, Zhangjiajie, China, August 2-4, 2005, Proceedings
The objective of this conference was to address and capture highly innovative and stateof-the-art research and work in the networks and mobile computing industries. ICCNMC 2005 allowed sharing of the underlying theories and applications, and the establishment of new and long-term collaborative channels aimed at developing innovative concepts and solutions geared to future markets. The highly positive response to ICCNMC 2001 and ICCNMC 2003, held in Beijing and Shanghai, respectively, encouraged us to continue this international event. In its third year, ICCNMC 2005 continued to provide a forum for researchers, professionals, and industrial practitioners from around the world to report on new advances in computer network and mobile computing, as well as to identify issues and directions for research and development in the new era of evolving technologies.
Network Control and Optimization ; 1st EuroFGI International Conference, NET-COOP 2007, Avignon, France, June 5-7, 2007, Proceedings
This volume 4465 of the Lecture Notes in Computer Science series is a coll- tion of the papers of the NET-COOP 2007. This conference aims at developing research on control and op- mization of the Internet, ranging from performance evaluation and optimization of general stochastic networks to more speci?c targets such as lower-layer fu- tionalities in mobile networks, routing for computational grids, game theoretic approaches to access control, cooperation, competition and adversary capacities in diverse environments.
Negotiation agent
Negor is an eCommerce AI chatbot that increases sales by engaging with the user much like a salesperson when you walk into a store. This conversational eCommerce approach allows companies to overcome sales obstacles, recommend products for cross- or up-sells, and reduce support tickets all while being available 24/7. E-commerce is a way to make the customers' buying experience more seamless and interactive while helping to offer bargaining features, which are familiar in traditional stores. In addition, the Chatbot is used to negotiate the best price for the customer and the best deal for the seller.
Natural Language Processing and Chinese Computing ; 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14–18, 2020, Proceedings, Part II
This two-volume set of LNAI 12340 and LNAI 12341 constitutes the refereed proceedings of the 9th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2020, held in Zhengzhou, China, in October 2020. The 70 full papers, 30 poster papers and 14 workshop papers presented were carefully reviewed and selected from 320 submissions. They are organized in the following areas: Conversational Bot/QA; Fundamentals of NLP; Knowledge Base, Graphs and Semantic Web; Machine Learning for NLP; Machine Translation and Multilinguality; NLP Applications; Social Media and Network; Text Mining; and Trending Topics.
Natural language processing and chinese computing ; 9th CCF International conference, NLPCC 2020, Zhengzhou, China, October 14–18, 2020, Proceedings, Part I
This two-volume set of LNAI 12340 and LNAI 12341 constitutes the refereed proceedings of the 9th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2020, held in Zhengzhou, China, in October 2020. The 70 full papers, 30 poster papers and 14 workshop papers presented were carefully reviewed and selected from 320 submissions. They are organized in the following areas: Conversational Bot/QA; Fundamentals of NLP; Knowledge Base, Graphs and Semantic Web; Machine Learning for NLP; Machine Translation and Multilinguality; NLP Applications; Social Media and Network; Text Mining; and Trending Topics.
Multivariate Public Key Cryptosystems
Multivariate public key cryptosystems (MPKC) is a fast-developing new area in cryptography. In the past 10 years, MPKC schemes have increasingly been seen as a possible alternative to number theoretic-based cryptosystems such as RSA, as they are generally more efficient in terms of computational effort. As quantum computers are developed, MPKC will become a necessary alternative. Multivariate Public Key Cryptosystems systematically presents the subject matter for a broad audience. Information security experts in industry can use the book as a guide for understanding what is needed to implement these cryptosystems for practical applications, and researchers in both computer science and mathematics will find this book a good starting point for exploring this new field. It is also suitable as a textbook for advanced-level students.
Modern Deep Learning Design and Application Development : Versatile Tools to Solve Deep Learning Problems
Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking. You will: Improve the performance of deep learning models by using pre-trained models, extracting rich features, and automating optimization. Compress deep learning models while maintaining performance. Reframe a wide variety of difficult problems and design effective deep learning solutions to solve them. Use the Keras framework, with some help from libraries like HyperOpt, TensorFlow, and PyTorch, to implement a wide variety of deep learning approaches.
Model-Based Software and Data Integration ; 1st International Workshop, MBSDI 2008, Berlin, Germany, April 1-3, 2008. Proceedings
The First International Workshop on Model-Based Software and Data Integ- tion (MBSDI 2008), was ourfrst event of this kind in a forthcoming series of activities at TU Berlin, where a scientifc discussion and exchange forum was provided for both academic and industrial researchers. We aimed at researchers, engineersand practitionerswho focus onadvanced, model-basedsolutions inthe area of software and information integration and interoperability. As withevery beginning, the resonanceonour callsin today's overfoodingof workshops was somewhat unpredictable, and we did not really know how many paper submissions to expect. We were nicely surprised, considering the rather short lead time to organize the meeting and the very specialized and focused topic.
Mining Complex Data ; ECML/PKDD 2007 Third International Workshop, MCD 2007, Warsaw, Poland, September 17-21, 2007, Revised Selected Papers
This book constitutes the refereed proceedings of the Third International Workshop on Mining Complex Data, MCD 2007, held in Warsaw, Poland, in September 2007, co-located with ECML and PKDD 2007.The 20 revised full papers presented were carefully reviewed and selected; they present original results on knowledge discovery from complex data. In contrast to the typical tabular data, complex data can consist of heterogenous data types, can come from different sources, or live in high dimensional spaces. All these specificities call for new data mining strategies.
Mind conversation = التنبؤ بالحروف العربية من خلال الإشارات الدماغية
Throughout history, humans have long dreamed of understanding what goes on inside the human mind—what people are thinking or feeling. It seemed like something from a far-off future or a magical realm. But now, thanks to amazing technology called EEG and BCI, this dream is turning into reality. EEG stands for electroencephalography. It's a way of listening to what the brain is up to by placing small sensors on or near the head. These sensors pick up tiny electrical signals produced by the brain's activity. It's like eavesdropping on the brain's conversations with itself. BCI, or Brain-Computer Interface, is like a bridge between the brain and machines. It lets the brain talk to devices or computers. This means people can control things without using their hands or voices. Our system takes advantage of EEG and BCI to create something helpful, a special mobile app. This app is designed for people who can't move their bodies, like those who are paralyzed. It helps them use their phones to express what they are thinking about.
IP operations and management ; 8th IEEE International workshop, IPOM 2008, Samos Island, Greece, September 22-26, 2008. Proceedings
Constitutes the refereed proceedings of the 8th IEEE Workshop on IP Operations and Management, IPOM 2008, held on Samos Island, Greece, on September 22-26, 2008, as part of the 4th International Week on Management of Networks and Services, Manweek 2008. The 12 revised full papers presented in this volume were carefully reviewed and selected from 30 submissions. The papers are organized in topical sections on network anomaly detection; traffic engineering, protection, and recovery; network measurements and applications; and network management and security.
Introduction to Machine Learning with Applications in Information Security
Provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn't prove theorems, or dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts. The book covers core classic machine learning topics in depth, including Hidden Markov Models (HMM), Support Vector Machines (SVM), and clustering. Additional machine learning topics include k-Nearest Neighbor (k-NN), boosting, Random Forests, and Linear Discriminant Analysis (LDA). The fundamental deep learning topics of backpropagation, Convolutional Neural Networks (CNN), Multilayer Perceptrons (MLP), and Recurrent Neural Networks (RNN) are covered in depth. A broad range of advanced deep learning architectures are also presented, including Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Extreme Learning Machines (ELM), Residual Networks (ResNet), Deep Belief Networks (DBN), Bidirectional Encoder Representations from Transformers (BERT), and Word2Vec.
Intelligent Virtual Agents ; Vol.4133 ; 6th International Conference, IVA 2006, Marina Del Rey, CA; USA, August 21-23, 2006, Proceedings
This volume contains the proceedings of the 6th International Conference on Intelligent Virtual Agents, IVA 2006, held in Marina del Rey, California, USA from August 21–23.For the second year in a row,IVA also hosted the Gathering of Animated Lifelike Agents (GALA 2006), an annual festival to showcase the latest animated lifelike agents created by university students and academic or industrial research groups. IVA 2006 received 73 submissions from Europe, the AmericasandAsia.Thepaperspublishedherearethe24fullpapersand11short papers presented at the conference, as well as one-page descriptions of posters and the featured invited talks by Brian Parkinson of Oxford University, Rod Humble of Electronic Arts, and Michael Mateas of the University of California, Santa Cruz and Andrew Stern of Procedural Arts.
Intelligent Virtual Agents ; 8th International Conference, IVA 2008, Tokyo, Japan, September 1-3, 2008. Proceedings
This book constitutes the refereed proceedings of the 8th International Workshop on Intelligent Virtual Agents, IVA 2008, held in Tokyo, Japan, in September 2008.The 18 revised full papers and 28 revised short papers presented together 42 poster papers were carefully reviewed and selected from 99 submissions. The papers are organized in topical sections on motion and empathy; narrative and augmented reality; conversation and negotiation; nonverbal behavior; models of culture and personality; markup and representation languages; architectures for robotic agents; cognitive architectures; agents for healthcare and training; and agents in games, museums and virtual worlds.
Intelligent Media Technology for Communicative Intelligence ; 2nd International Workshop, IMTCI 2004, Warsaw, Poland, September 13-14, 2004. Revised Selected Papers
The 2nd Workshop on Intelligent Media Technology for Communicative Intelligence commemorating the 10th anniversary of the Polish-Japanese Institute of Information Technology in Warsaw aimed to explore the current research topics in the ?eld of int- ligent media technologies for communicative intelligence. Communicative intelligence represents a new challenge towards building a sup- intelligence on the ubiquitous global network by accumulating a huge amount of - man andknowledgeresources.The term "communicativeintelligence"re?ects the view that communication is at the very core of intelligence and its creation. Communication permits novel ideas to emerge from intimate interactions by multiple agents, ranging from collaboration to competition. The recent advance of information and commu- cation technologies has established an information infrastructure that allows humans and artifacts to communicate with each other beyond space and time. It enables us to advance a step further to realize a communicative intelligence with many fruitful applications. Intelligentmediatechnologiesattempttocaptureandaugmentpeople’scommuni- tive activities by embedding computers into the environment to enhance interactions in an unobtrusive manner. The introduction of embodied conversational agents that might mediate conversations among people in a social context is the next step in the p- cess. The scope of intelligent media technologies includes design and development of intelligent supports for content production, distribution, and utilization, since rich c- tent is crucial for communication in many applications. The promising applications of intelligence media technologies include e-learning, knowledge management systems, e-democracy, and other communication-intensivesubject domains.
