Жить стало проще, жить стало интереснее – цифровая камера стала доступна каждому! Теперь никакой возни с пленками, зато какая интересная возня с компьютером! Прочитайте эту книгу. Каких-то две сотни страниц – и вы научитесь делать конфетку из совсем, казалось бы, пропащих кадров. Впрочем, если вы читали внимательно, то таких кадров будет совсем немного. Очень скоро вы сможете фотографировать «навскидку» и дорисовывать все нужное на компьютере одной левой (в крайнем случае – правой).
Nieoficjalny poradnik do No Man's Sky stanowi kompletny przewodnik po tej olbrzymiej grze nastawionej na nieograniczoną eksplorację kosmosu. Informacje zawarte w niniejszym poradniku powinny okazać się bardzo pomocne w zwiedzaniu kosmosu i dotarciu do centrum wszechświata, czyli zakończeniu głównego celu fabularnego produkcji. Początkowe strony poradnika zawierają między innymi szereg przydatnych porad i informacje o tym jak opuścić pierwszą planetę czy nazwać odkryte przez siebie obiekty. No...
Since the end of Dennard scaling in the early 2000s, improving the energy efficiency of computation has been the main concern of the research community and industry. The large energy efficiency gap between general-purpose processors and application-specific integrated circuits (ASICs) motivates the exploration of customizable architectures, where one can adapt the architecture to the workload. In this Synthesis lecture, we present an overview and introduction of the recent developments on...
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's...
Machine learning, and specifically deep learning, has been hugely disruptive in many fields of computer science. The success of deep learning techniques in solving notoriously difficult classification and regression problems has resulted in their rapid adoption in solving real-world problems. The emergence of deep learning is widely attributed to a virtuous cycle whereby fundamental advancements in training deeper models were enabled by the availability of massive datasets and high-performance...
Activity theory – a conceptual framework originally developed by Aleksei Leontiev – has its roots in the socio-cultural tradition in Russian psychology. The foundational concept of the theory is human activity, which is understood as purposeful, mediated, and transformative interaction between human beings and the world. Since the early 1990s, activity theory has been a visible landmark in the theoretical landscape of Human-Computer Interaction (HCI). Along with some other frameworks, such as...
Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned knowledge and...
Theory is the bedrock of many sciences, providing a rigorous method to advance knowledge, through testing and falsifying hypotheses about observable phenomena. To begin with, the nascent field of HCI followed the scientific method borrowing theories from cognitive science to test theories about user performance at the interface. But HCI has emerged as an eclectic interdiscipline rather than a well-defined science. It now covers all aspects of human life, from birth to bereavement, through all...
In our digital age we can communicate, access, create, and share an abundance of information effortlessly, rapidly, and nearly ubiquitously. The consequence of having so many choices is that they compete for our attention: we continually switch our attention between different types of information while doing different types of tasks–in other words, we multitask. The activity of information workers in particular is characterized by the continual switching of attention throughout the day. In this...