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Topic Review
Long and Short Scale
The long and short scales are two of several naming systems for integer powers of ten which use some of the same terms for different magnitudes. For whole numbers smaller than 1,000,000,000 (109), such as one thousand or one million, the two scales are identical. For larger numbers, starting with 109, the two systems differ. For identical names, the long scale proceeds by powers of one million, whereas the short scale proceeds by powers of one thousand. For example, "one billion" means one thousand millions in the short scale, while it means one million millions in the long scale. The long scale system uses additional terms for the intervening values, typically replacing the word ending -ion with -iard.
  • 1.3K
  • 24 Nov 2022
Topic Review
Convolutional Sparse Coding
The convolutional sparse coding paradigm is an extension of the global Sparse Coding model, in which a redundant dictionary is modeled as a concatenation of circulant matrices. While the global sparsity constraint describes signal [math]\displaystyle{ \mathbf{x}\in \mathbb{R}^{N} }[/math] as a linear combination of a few atoms in the redundant dictionary [math]\displaystyle{ \mathbf{D}\in\mathbb{R}^{N\times M}, M\gg N }[/math], usually expressed as [math]\displaystyle{ \mathbf{x}=\mathbf{D}\mathbf{\Gamma} }[/math] for a sparse vector [math]\displaystyle{ \mathbf{\Gamma}\in \mathbb{R}^{M} }[/math], the alternative dictionary structure adopted by the Convolutional Sparse Coding model allows the sparsity prior to be applied locally instead of globally: independent patches of [math]\displaystyle{ \mathbf{x} }[/math] are generated by "local" dictionaries operating over stripes of [math]\displaystyle{ \mathbf{\Gamma} }[/math]. The local sparsity constraint allows stronger uniqueness and stability conditions than the global sparsity prior, and has shown to be a versatile tool for inverse problems in fields such as Image Understanding and Computer Vision. Also, a recently proposed multi-layer extension of the model has shown conceptual benefits for more complex signal decompositions, as well as a tight connection the Convolutional Neural Networks model, allowing a deeper understanding of how the latter operates.
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Topic Review
Adder (Electronics)
An adder, or summer, is a digital circuit that performs addition of numbers. In many computers and other kinds of processors adders are used in the arithmetic logic units (ALUs). They are also used in other parts of the processor, where they are used to calculate addresses, table indices, increment and decrement operators and similar operations. Although adders can be constructed for many number representations, such as binary-coded decimal or excess-3, the most common adders operate on binary numbers. In cases where two's complement or ones' complement is being used to represent negative numbers, it is trivial to modify an adder into an adder–subtractor. Other signed number representations require more logic around the basic adder.
  • 1.2K
  • 24 Nov 2022
Topic Review
Natural Language Processing for the COVID-19 Pandemic
The COVID-19 pandemic is the most devastating public health crisis and has affected the lives of billions of people worldwide in unprecedented ways. Compared to pandemics of this scale in the past, societies are now equipped with advanced technologies that can mitigate the impacts of pandemics if utilized appropriately. However, opportunities are not fully utilized, particularly at the intersection of data science and health. Health-related big data and technological advances have the potential to significantly aid the fight against such pandemics, including the pandemic’s ongoing and long-term impacts. Specifically, the field of natural language processing (NLP) has enormous potential at a time when vast amounts of text-based data are continuously generated from a multitude of sources, such as health/hospital systems, published medical literature, and social media. Effectively mitigating the impacts of the pandemic requires tackling challenges associated with the application and deployment of NLP systems.
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  • 24 Nov 2022
Topic Review
Free Basics
Internet.org is a partnership between social networking services company Facebook and six companies (Samsung, Ericsson, MediaTek, Opera Software, Nokia and Qualcomm) that plans to bring affordable access to selected Internet services to less developed countries by increasing efficiency, and facilitating the development of new business models around the provision of Internet access. The app delivering these services was renamed Free Basics in September 2015. As of November 2016, 40 million people are using internet.org. It has been criticized for violating net neutrality, and by handpicking internet services that are included, for discriminating against companies not in the list, including Facebook's rivals. In February 2016, regulators banned the Free Basics service in India based on "Prohibition of Discriminatory Tariffs for Data Services Regulations". The Telecom Regulatory Authority of India (TRAI) accused Facebook of failing to pass on the four questions in the regulator's consultation paper and also blocking access to TRAI's designated email for feedback on Free Basics. On February 11, 2016, Facebook withdrew the Free Basics platform from India.
  • 666
  • 24 Nov 2022
Topic Review
Goalkeeper CIWS
Goalkeeper is a Dutch close-in weapon system (CIWS) introduced in 1979. It is an autonomous and completely automatic weapon system for short-range defence of ships against highly manoeuvrable missiles, aircraft and fast-manoeuvering surface vessels. Once activated the system automatically undertakes the entire air defence process from surveillance and detection to destruction, including the selection of the next priority target.
  • 1.4K
  • 24 Nov 2022
Topic Review
Comparison of Regular-Expression Engines
This is a comparison of regular-expression engines.
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Topic Review
Animal Jam
Animal Jam is an online virtual world developed by WildWorks. It was originally launched in 2010, in collaboration with the National Geographic Society. With about 160 million registered players, Animal Jam is one of the many fastest-growing online children's properties in the world. In Animal Jam, players discover and learn various facts about zoology using the game's numerous features, including mini-games, adventures, parties, and social interactions. Due to its growing popularity, Animal Jam has spawned different types of merchandise, including figurine toys, children's books, and a subscription box. Although Animal Jam is primarily played online, the Animal Jam universe has been expanded to incorporate mobile devices such as smartphones, tablets, and iOS devices. The most popular Animal Jam mobile app is Play Wild which is a 3D version of the Animal Jam world. WildWorks has also developed other apps that are based on the Animal Jam game including Tunnel Town, AJ Jump, and Dash Tag.
  • 1.6K
  • 24 Nov 2022
Topic Review
Computer Vision and Artificial Intelligence for Fish Recognition
Computer vision has been applied to fish recognition. With the inception of deep learning techniques in the early 2010s, the use of digital images grew strongly, and this trend is likely to continue. As the number of articles published grows, it becomes harder to keep track of the state of the art and to determine the best course of action for new studies.
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  • 24 Nov 2022
Topic Review
Discipline (Academia)
An academic discipline or academic field is a subdivision of knowledge that is taught and researched at the college or university level. Disciplines are defined (in part), and recognized by the academic journals in which research is published, and the learned societies and academic departments or faculties within colleges and universities to which their practitioners belong. It includes language, art and cultural studies and other scientific disciplines. It incorporates expertise, people, projects, communities, challenges, studies, inquiry, research areas, and facilities that are strongly associated with a given scholastic subject area or college department. For example, the branches of science are commonly referred to as the scientific disciplines, e.g. physics, chemistry, and biology. Individuals associated with academic disciplines are commonly referred to as experts or specialists. Others, who may have studied liberal arts or systems theory rather than concentrating in a specific academic discipline, are classified as generalists. While academic disciplines in and of themselves are more or less focused practices, scholarly approaches such as multidisciplinarity/interdisciplinarity, transdisciplinarity, and cross-disciplinarity integrate aspects from multiple academic disciplines, therefore addressing any problems that may arise from narrow concentration within specialized fields of study. For example, professionals may encounter trouble communicating across academic disciplines because of differences in language, specified concepts or methodology. Some researchers believe that academic disciplines may, in the future, be replaced by what is known as Mode 2 or "post-academic science", which involves the acquisition of cross-disciplinary knowledge through collaboration of specialists from various academic disciplines.
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