Bøger af Hao Yu

How to Augment Language Skills outlines ways in which translators and language providers can expand their skillset and how translation technologies can be integrated into language learning and translator training.This book explains the basics of generative AI, machine translation, and translation memory suites, placing them in a historical context and assessing their fundamental impacts on language skills. It covers what to teach in a specific context, how to teach it, how to assess the result, and how to set up lively class discussions on the many problematic aspects. The exploratory empirical approach is designed to reach across several divides: between language education and translation studies, between technology designers and users, between Western and Asian research, and between abstract ideas and hands-on practice. Features include: 57 technology-related activities for the language and/or translation class. Recent research on the capacities of generative AI. Examples of how to conduct a needs analysis. Comparisons of the main teaching methods. Ways to assess the use of technologies. Examples in Chinese, Spanish, Catalan, French, and German. A full glossary explaining the key terms in clear language. Drawing on years of classroom experience, Hao and Pym illustrate how these skills can be taught in a range of classroom and online activities, making this essential reading for teachers, instructors and researchers involved in the teaching of languages and the training of translators.

Exa-scale computing needs to re-examine the existing hardware platform that can support intensive data-oriented computing. Since the main bottleneck is from memory, we aim to develop an energy-efficient in-memory computing platform in this book. First, the models of spin-transfer torque magnetic tunnel junction and racetrack memory are presented. Next, we show that the spintronics could be a candidate for future data-oriented computing for storage, logic, and interconnect. As a result, by utilizing spintronics, in-memory-based computing has been applied for data encryption and machine learning. The implementations of in-memory AES, Simon cipher, as well as interconnect are explained in details. In addition, in-memory-based machine learning and face recognition are also illustrated in this book.

In my book, I give the analogy of the main results in one of Kevin Costellös paper for open-closed topological conformal field theory. In other words, I show that there is a Batalin-Vilkovisky algebraic structure on the open-closed moduli space (moduli space of Riemann surface with boundary and marked points) , which is defined by Harrelson, Voronov and Zuniga, and the most important, there is a solution up to homotopy to the quantum master equation of that BV algebra if the initial condition is given, under the assumption that a new geometric chain theory gives rise to ordinary homology. This solution is expected to encode the fundamental chain of compactified open-closed moduli space, which is studied thoroughly by C.-C.Liu, as exactly in the closed case. We hope this result can give new insights into the mysterious two dimensional open-closed field theory.

Serving as a bridge between researchers in the computing domain and computing hardware designers, this book presents ReRAM techniques for distributed computing using IMC accelerators, ReRAM-based IMC architectures for machine learning (ML) and data-intensive applications, and strategies to map ML designs onto hardware accelerators.

With focused coverage of key topics ranging from device fabrication to hybrid NVM memory system design-space optimization, this systematic treatment of emerging nano-scale NVM devices adopts a circuits/systems perspective that includes memristic dynamics.

This book covers statistical modeling and analysis of VLSI systems with a focus on interconnects, on-chip power grids and clock networks and analog/mixed-signal circuits. It offers an analysis of each algorithm with applications in real circuit design.

3D integration is an emerging technology for the design of many-core microprocessors and memory integration.

This book shows how the use of metamaterials allows coherent THz signal generation, amplification, transmission, and detection for phase-arrayed CMOS transistors with significantly improved performance. The book reflects the latest research and provides a state-of-the-art reference on CMOS-based metamaterial devices and mm-wave and THz systems.

This book shows that with the use of metamaterials, one can have coherent THz signal generation, amplification, transmission, and detection for phase-arrayed CMOS transistors with significantly improved performance. Offering detailed coverage from device to system, the book describes the design and application of metamaterials in actual CMOS integrated circuits, includes real circuit examples and chip demonstrations with measurement results, and also evaluates system performance after CMOS-based system-on-chip integration. The book reflects the latest research progress and provides a state-of-the-art reference on CMOS-based metamaterial devices and mm-wave and THz systems.