Computer

人工智能爲什麽備受矚目？隨著電腦和網絡的飛速發展，信息處理變得越來越容易，雲計算、物聯網、機器人等IT相關的最新技術，進一步發揮其優勢。機器學習、自然語言處理、以圖像和語音識別爲基礎的人工智能技術得到廣泛得應用。本書通過國內外50例以上的案例闡述人工智能技術的應用，囊括了世界各大公司的前沿技術。本書將爲人工智能領域IT技術人員、經營企劃人員、創業和管理人員提供重要參考。

Computer Programming Step by Step guides learners with little to no experience in writing computer programs using Python programming language. With over 300 visuals and a clever use of storyboards, it supports learners in the development of an experiential grasp of computer programming and provides a strong foundation upon which to further their knowledge.

The doctorate process can seem complicated and daunting in a young academic's career. Whether you are starting your doctoral studies or planning your next steps, this guide offers clear, actionable advice for success in academia and beyond. The Doctorate Blueprint is a practical guide, designed to help graduates and young academics in science and engineering navigate the complex journey of earning a PhD. The guide takes a comprehensive view of the doctorate process and covers all aspects, from understanding research and choosing the right methods to writing a dissertation and getting published. The book also provides essential tools and advice on career planning, including how to write grant proposals and run a research lab. It serves as an essential companion for those beginning their doctoral journey, offering a clear roadmap from initial research to career planning beyond the PhD, with a focus on PhD candidates and advice for early-career academics with little to no experience su

The doctorate process can seem complicated and daunting in a young academic's career. Whether you are starting your doctoral studies or planning your next steps, this guide offers clear, actionable advice for success in academia and beyond. The Doctorate Blueprint is a practical guide, designed to help graduates and young academics in science and engineering navigate the complex journey of earning a PhD. The guide takes a comprehensive view of the doctorate process and covers all aspects, from understanding research and choosing the right methods to writing a dissertation and getting published. The book also provides essential tools and advice on career planning, including how to write grant proposals and run a research lab. It serves as an essential companion for those beginning their doctoral journey, offering a clear roadmap from initial research to career planning beyond the PhD, with a focus on PhD candidates and advice for early-career academics with little to no experience su

Algorithms are the hidden methods that computers apply to process information and make decisions. Nowadays, our lives are run by algorithms. They determine what news we see. They influence which products we buy. They suggest our dating partners. They may even be determining the outcome of national elections. They are creating, and destroying, entire industries. Despite mounting concerns, few know what algorithms are, how they work, or who created them. Poems that Solve Puzzles tells the story of algorithms from their ancient origins to the present day and beyond. The book introduces readers to the inventors and inspirational events behind the genesis of the world's most important algorithms. Professor Chris Bleakley recounts tales of ancient lost inscriptions, Victorian steam-driven contraptions, top secret military projects, penniless academics, hippy dreamers, tech billionaires, superhuman artificial intelligences, cryptocurrencies, and quantum computing. Along the way, the book exp

Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the field, and its increasing importance in progressing our understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic. The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the previous editions. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in

The 2019 TICST has three keynote lectures by Professor Ovchinnikov Sergei Gennadievich (Kirensky Institute of Physics, Russia), Professor George Grant Hoag (Department of Chemistry, California Insitut

The theory of noncommutative Haagerup and Orlicz spaces is an important tool in both Quantum Harmonic Analysis and Mathematical Physics. Indeed, noncommutativity is arguably the raison-d'etre of the Heisenberg approach to quantum mechanics. Just as classical analysis formed the foundation for classical mechanics, a mature response to the challenges posed by quantum mechanics (from the Heisenberg perspective) similarly needs to be built on a well-developed foundation of noncommutative analysis. In the passage from the classical to the quantum setting, functions get replaced with (possibly noncommuting) operators. Von Neumann himself realised early on that some sort of noncommutative integral calculus tailored to this setting is therefore needed to meet this challenge. This book seeks to help address this need. The noncommutative Orlicz spaces presented here help in dealing with observable quantities and entropy. Goldstein and Labuschagne provide a detailed account of the current the

The theory of noncommutative Haagerup and Orlicz spaces is an important tool in both Quantum Harmonic Analysis and Mathematical Physics. Indeed, noncommutativity is arguably the raison-d'etre of the Heisenberg approach to quantum mechanics. Just as classical analysis formed the foundation for classical mechanics, a mature response to the challenges posed by quantum mechanics (from the Heisenberg perspective) similarly needs to be built on a well-developed foundation of noncommutative analysis. In the passage from the classical to the quantum setting, functions get replaced with (possibly noncommuting) operators. Von Neumann himself realised early on that some sort of noncommutative integral calculus tailored to this setting is therefore needed to meet this challenge. This book seeks to help address this need. The noncommutative Orlicz spaces presented here help in dealing with observable quantities and entropy. Goldstein and Labuschagne provide a detailed account of the current the

Climate change, rapid urbanisation, pandemics, as well as innovations in technologies such as blockchain, AI and IoT are all impacting urban space. One response to such changes has been to make cities ecologically sustainable and 'smart'. The 'eco smart city' for instance uses networked sensing, cloud and mobile computing to optimise, control, and regulate urban processes and resources. From real-time bus information to autonomous electric vehicles, smart parking, and smart street lighting, such initiatives are often presented as a social and environmental good.Critics, however, increasingly argue that technologically driven, and efficiency-led approaches are too simplistic to deal with the complexities of urban life. Sustainability in the smart city is predominantly performed in limited ways that leave little room for participation and citizen agency despite government efforts to integrate innovative technologies in more equitable ways. More importantly, there is a growing awareness t

Climate change, rapid urbanisation, pandemics, as well as innovations in technologies such as blockchain, AI and IoT are all impacting urban space. One response to such changes has been to make cities ecologically sustainable and 'smart'. The 'eco smart city' for instance uses networked sensing, cloud and mobile computing to optimise, control, and regulate urban processes and resources. From real-time bus information to autonomous electric vehicles, smart parking, and smart street lighting, such initiatives are often presented as a social and environmental good. Critics, however, increasingly argue that technologically driven, and efficiency-led approaches are too simplistic to deal with the complexities of urban life. Sustainability in the smart city is predominantly performed in limited ways that leave little room for participation and citizen agency despite government efforts to integrate innovative technologies in more equitable ways. More importantly, there is a growing awareness