Zobrazeno 1 - 10
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pro vyhledávání: '"Titus, Alexander J"'
Autor:
Pervez, Naseela, Titus, Alexander J.
Large language models (LLMs) are increasingly utilized to assist in scientific and academic writing, helping authors enhance the coherence of their articles. Previous studies have highlighted stereotypes and biases present in LLM outputs, emphasizing
Externí odkaz:
http://arxiv.org/abs/2406.19497
Computing in the life sciences has undergone a transformative evolution, from early computational models in the 1950s to the applications of artificial intelligence (AI) and machine learning (ML) seen today. This paper highlights key milestones and t
Externí odkaz:
http://arxiv.org/abs/2406.12108
Autor:
Vindman, Cindy, Trump, Benjamin, Cummings, Christopher, Smith, Madison, Titus, Alexander J., Oye, Ken, Prado, Valentina, Turmus, Eyup, Linkov, Igor
The convergence of artificial intelligence (AI) and synthetic biology is rapidly accelerating the pace of biological discovery and engineering. AI techniques, such as large language models and biological design tools, are enabling the automated desig
Externí odkaz:
http://arxiv.org/abs/2404.18973
Autor:
Pervez, Naseela, Titus, Alexander J.
Biotechnology Industry 5.0 is advancing with the integration of cutting-edge technologies like Machine Learning (ML), the Internet Of Things (IoT), and cloud computing. It is no surprise that an industry that utilizes data from customers and can alte
Externí odkaz:
http://arxiv.org/abs/2402.07967
Autor:
Titus, Alexander J., Russell, Adam H.
Artificial intelligence (AI) promises immense benefits across sectors, yet also poses risks from dual-use potentials, biases, and unintended behaviors. This paper reviews emerging issues with opaque and uncontrollable AI systems and proposes an integ
Externí odkaz:
http://arxiv.org/abs/2308.14253
Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to enhance our understanding of animal behavior and conservation strategies. Using elephants, a crucial species in Africa's protected areas, as our focal point
Externí odkaz:
http://arxiv.org/abs/2306.13803
Autor:
Lee, Benjamin D., Gitter, Anthony, Greene, Casey S., Raschka, Sebastian, Maguire, Finlay, Titus, Alexander J., Kessler, Michael D., Lee, Alexandra J., Chevrette, Marc G., Stewart, Paul Allen, Britto-Borges, Thiago, Cofer, Evan M., Yu, Kun-Hsing, Carmona, Juan Jose, Fertig, Elana J., Kalinin, Alexandr A., Signal, Beth, Lengerich, Benjamin J., Triche Jr, Timothy J., Boca, Simina M.
Machine learning is a modern approach to problem-solving and task automation. In particular, machine learning is concerned with the development and applications of algorithms that can recognize patterns in data and use them for predictive modeling. A
Externí odkaz:
http://arxiv.org/abs/2105.14372
Autor:
Titus, Alexander J., Flower, Audrey, Hagerty, Patrick, Gamble, Paul, Lewis, Charlie, Stavish, Todd, OConnell, Kevin P., Shipley, Greg, Rogers, Stephanie M.
Publikováno v:
PLoS Computational Biology; 2018 Sep 4; 14(9):e1006454
Genomic data are becoming increasingly valuable as we develop methods to utilize the information at scale and gain a greater understanding of how genetic information relates to biological function. Advances in synthetic biology and the decreased cost
Externí odkaz:
http://arxiv.org/abs/1803.09565
Motivation: The ability to perform operations on encrypted data has a growing number of applications in bioinformatics, with implications for data privacy in health care and biosecurity. The SEAL library is a popular implementation of fully homomorph
Externí odkaz:
http://arxiv.org/abs/1803.01891
Autor:
Titus, Alexander J
As modern life science research shifts from an observational field of science to a field of engineering biology, computational techniques are more relevant to every aspect of the field. Artificial intelligence (AI) is emerging as a massive accelerato
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f2406ae1a990322e20f6a0e81ef6d81