12 papers · ranked by Valyu relevance
Oliver Attie, Brian Sulkow, Chong Di, Wei-Gang Qiu
Learning algorithms have been proposed as a non-selective mechanism capable of creating complex adaptive systems in life. Evolutionary learning however has not been demonstrated to be a plausible cause for the origin of a specific molecular system. Here we show that genetic codes as optimal as the Standard Genetic Code…
Parth Chansoria, Dominic Rütsche, Anny Wang, Hao Liu + 7 more
Accelerating the designing and manufacturing of complex shapes has been a driving factor of modern industrialization. This has led to numerous advances in computational design and modeling and novel additive manufacturing (AM) techniques that can create complex shapes for bespoke applications. By combining a new…
Greg Wilson, Francis Ouellette
While the final design should be leveled, the process used to create it almost certainly won’t be. Studies of expert designers have found that they constantly drill down from high-level ideas to concrete implications to find out whether their plan will work or not . Replacing a low-level test with a function as shown…
Timothy H. Lehmann
The aim of this study is to examine how algorithmatizing tasks engage mathematics students in algorithmic thinking. Structured, task-based interviews were conducted with eight Year 12 students as they completed a sequence of algorithmatizing tasks involving maximum flow problems. A deductive-inductive analytical…
Ian Holmes
We describe a strategy for constructing codes for DNA-based information storage by serial composition of weighted finite-state transducers. The resulting state machines can integrate correction of substitution errors; synchronization by interleaving watermark and periodic marker signals; conversion from binary to…
Yun-Fei Liu, Marina Bedny
Programming is a cornerstone of modern society, yet its cognitive and neural basis remains poorly understood. In this study, we test the hypothesis that programming “recycles” pre-existing neural mechanisms and representations in fronto-parietal reasoning networks. Using fMRI, we scanned programming-naïve…
Mansour Esmaeilpour, Vahideh Naderifar, Zarina Shukur, Gajendra P. S. Raghava
'Gajendra P. S. Raghava'] Context Over the last decade, design patterns have been used extensively to generate reusable solutions to frequently encountered problems in software engineering and object oriented programming. A design pattern is a repeatable software design solution that provides a template for solving…
Ernestine Dickhaut, Mahei Manhai Li, Andreas Janson, Jan Marco Leimeister
Novel technologies such as smart personal assistants integrate digital services into everyday life. These services use personal data to offer personalized services. While they are subject to special data protection regulations at the time of development, there are few guidelines describing the transition from legal…
Aditi T. Merchant, Daniel Guo, Ben Viggiano, Lucas Brennan-Almaraz + 6 more
Programmable composition of complex systems is a longstanding goal of biological research. Generative modeling has improved the reliability of computational design, but existing methods are highly specialized and are difficult to extend or compose. Here, we introduce Proto, a high-level programming language for…
Angelo Gaeta, Valentin Zulkower, Giovanni Stracquadanio
Rapid engineering of biological systems is currently hindered by limited integration of manufacturing constraints into the design process, ultimately limiting the yield of many synthetic biology workflows. Here we tackle DNA engineering as a multi-objective optimization problem aiming at finding the best tradeoff…
R. Sakthivel, Ch. Vijayalakshmi, M. Vanitha, Kareem M. AboRas + 4 more
'Waleed Mohammed Abdelfattah' 'Yazeed Yasin Ghadi' 'Ch. Rami Reddy' 'Shonak Bansal'] Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. Golomb code is one of the effective technique…
Frederick Starkey, Filippo Menolascina
Synthetic Biology aims to rationally engineer biological systems. Current methods often employ an initial human designed circuit topology and utilise iterative approaches, e.g. directed evolution, to fine-tune part function. This approach can be extremely time consuming and resource intensive whilst often reaching…