23 papers · ranked by Valyu relevance
Mahyuddin K. M. Nasution, Rahmat Hidayat, Rahmad Syah
— Possible for science itself, conceptually, to have and will understand differently, let alone science also seen as technology, such as computer science. After all, science and technology are viewpoints diverse by either individual, community, or social. Generally, it depends on socioeconomic capabilities. So it is…
Cornelia Connolly, Tony Hall
Computing is pervasive in society, enterprise and education, underpinning all aspects of our lives today. Indeed, it would be a singular achievement to identify some part of contemporary life not supported, in some way, by technology. Furthermore, learning, teaching and assessment have become increasingly mediated by…
Sreekrishnan Venkateswaran
Computer Science education has been evolving over the years to reflect applied realities. Until about a decade ago, theory of computation, algorithm design and system software dominated the curricula. Most courses were considered core and were hence mandatory; the programme structure did not allow much of a choice or…
Chandra N. Sekharan, George K. Thiruvathukal
Computer science (CS) education needs to evolve to support software and artificial intelligence (AI) systems engineering, and it needs to happen now -- precisely because the core intellectual contributions of CS have never been more important. We argue that traditional curricula, built around programming, data…
Vladislav Dorofeev, Petro Trokhimchuk
The problem of synthesis in computer sciences, including cybernetics, artificial intelligence and system analysis, is analyzed. Main methods of realization this problem are discussed. Ways of search universal method of creation universal synthetic science are represented. As example of such universal method polymetric…
Satoshi Shimizutani, Shimpei Taguchi, Hiroyuki Yamada, Henri Tilga
With the growing digitization of society, there is a need to enhance computational thinking as an indispensable skill for modern daily life. Consequently, computer science education for children at early ages has become increasingly important. This study conducts a randomized controlled trial to examine the impact of…
Lenore Blum, Manuel Blum
Title: Significance This paper provides evidence that a theoretical computer science (TCS) perspective can add to our understanding of consciousness by providing a simple framework for employing tools from computational complexity theory and machine learning. Just as the Turing machine is a simple model to define and…
Jenna E. McChesney, Tara S. Behrend, Alexander Glosenberg
Using responses from a large respondent-initiated online survey, we find that the career interests of many current and aspiring computer scientists in the United States diverge from a popular and official depiction of computer scientists’ interests used for career and workforce development worldwide. Distinct profiles…
Sharon Sassler, Pamela Meyerhofer, Eyal Bar-Haim
Encouraging women to pursue STEM employment is frequently touted as a means of reducing the gender wage gap. We examine whether the attributes of computer science workers-who account for nearly half of those working in STEM jobs-explain the persistent gender wage gap in computer science, using American Community Survey…
Peter Koulen, Amirfarhang Mehdizadeh, Mei-Ling Shyu, Chengcui Zhang + 1 more
'Shu-Ching Chen'] Overview Unlike other fields of biology, neuroscience and the study of the nervous system across a range of species were characterized early on by the need for the analysis of highly complex data sets. In seminal areas of neuroscience, such as electrophysiology, neuroimaging, and neurophysiology…
Ángel Goñi-Moreno
The design and implementation of new-to-nature living systems with human-defined computing capabilities is now a routine process. Cells, such as bacteria, can be rationally modified to respond to a set of inputs and deliver outputs based on algorithmic rules that have been synthetically encoded into their genomes; and…
Tyler Sano, Mohammad Julker Neyen Sampad, Jesus Gonzalez-Ferrer, Sebastian Hernandez + 8 more
Despite many interventions, science education remains highly inequitable throughout the world. Among all life sciences fields, Bioinformatics and Computational Biology suffer from the strongest underrepresentation of racial and gender minorities. Internet-enabled project-based learning (PBL) has the potential to reach…
Ian Foster, Carl Kesselman
In this introductory chapter, we lay the groundwork for the rest of the book by providing a more detailed picture of the expected purpose, shape, and architecture of future grid systems. We structure the chapter in terms of six questions that we believe are central to this discussion: Why do we need computational…
Authors not listed
Step-by-step thinking is essential in all domains of chemical sciences and engineering. While machine learning tools are broadly used, algorithms that automate reasoning are far less common. We elaborate on seven categories of human reasoning activities and connect each to applications in chemical science and…
Authors not listed
The era of exascale computing presents both exciting opportunities and unique challenges for quantum mechanical simulations. While the transition from petaflops to exascale computing has been marked by a steady increase in computational power, the shift towards heterogeneous architectures, particularly the dominant…
George Chao, Evan Appleton, Clair S. Gutierrez, Lilia Evgeniou + 4 more
Pluripotent cells specialize into numerous cell types by receiving external signals, making fate decisions, and executing differentiation functions – a paradigm similar to computer algorithms. While advances in biosensor design have enabled cells to respond to diverse stimuli, the ability to maintain a synthetic memory…
Andrew McCluskey, Miguel Rivera, Antonia Mey
The role of computing in the chemical sciences is changing. Previously the domain of the theoretical or computational chemist, advanced digital skills, including data analysis and simulation, are becoming extremely relevant to all. Here, we discuss the importance of integrating computing and digital skills into an…
George Dimitriadis, Ella Svahn, Andrew MacAskill, Athena Akrami
To realise a research project idea, an experimenter faces a series of conflicting design and implementation considerations, regarding both its hardware and software components. For instance, the ease of implementation, in time and expertise, should be balanced against the ease of future reconfigurability and number of…
Kyle Swanson, Wesley Wu, Nash L. Bulaong, John E. Pak + 1 more
Science frequently benefits from teams of interdisciplinary researchers. However, most scientists don’t have access to experts from multiple fields. Fortunately, large language models (LLMs) have recently shown an impressive ability to aid researchers across diverse domains by answering scientific questions. Here, we…
Hermann Kopetz, Wilfried Steiner
—In a large cyber-physical system, a temporal inconsistency of an output value can arise if there is a nonnegligible delay between the instant when a sensor value is acquired from the environment and the instant when a setpoint, based on this sensor value, is used in the environment. Such a temporal inconsistency can…
Ricardo Stefani
The use of data science, artificial intelligence, and big data in the field of chemistry has recently grown to speed up the discovery of new materials, drugs, and synthetic substances and the identification of automated compounds. Machine learning and data science are commonly used in organic chemistry to predict…
Michael Chimento, Alex Hoi Hang Chan, Lucy M. Aplin, Fumihiro Kano
Collection of large behavioral data-sets on wild animals in natural habitats is vital in ecology and evolution studies. Recent progress in machine learning and computer vision, combined with inexpensive microcomputers, have unlocked a new frontier of fine-scale markerless measurements. Here, we leverage these…
Kaoruko Higuchi, Tomoki Kazawa, Buntaro Sakai, Shigehiro Namiki + 2 more
A major challenge in neurosciences is the elucidation of neural mechanisms in brains that are crucial for the processing of sensory information and the generation of adaptive behavior. In conjunction with the ever-growing body of experimental data, computational simulations have become crucial in integrating…