CybAI news

[Submitted on 19 Jun 2024] View a PDF of the paper titled PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model, by Sajib Acharjee Dip and 6 other authors View PDF HTML (experimental) Abstract:Pathogen identification is pivotal in diagnosing, treating, and preventing diseases, crucial for controlling infections and safeguarding public health. Traditional alignment-based methods, though widely used, are computationally intense and reliant on extensive reference databases, often failing to detect novel pathogens due to their low sensitivity and specificity. Similarly, conventional machine learning techniques, while promising, require large annotated datasets and extensive feature engineering and are prone…

(Valery Brozhinsky/Shutterstock) The advent of generative AI is driving enterprises to adopt consolidated data science and machine learning (DSML) platforms that can handle traditional ML as well as new GenAI use cases, according to Gartner’s latest Magic Quadrant report, which found the cloud giants are quickly gaining share. Gartner’s definition of a DSML platform is an integrated set of libraries designed to enable data scientists to complete all aspects of the data science lifecycle, either through low-code or code-based approaches. In addition to helping to clean and prepare the data, the platforms–which run either on the Web or are installed…

[Submitted on 13 Jun 2024] View a PDF of the paper titled The Significance of Latent Data Divergence in Predicting System Degradation, by Miguel Fernandes and 3 other authors View PDF HTML (experimental) Abstract:Condition-Based Maintenance is pivotal in enabling the early detection of potential failures in engineering systems, where precise prediction of the Remaining Useful Life is essential for effective maintenance and operation. However, a predominant focus in the field centers on predicting the Remaining Useful Life using unprocessed or minimally processed data, frequently neglecting the intricate dynamics inherent in the dataset. In this work we introduce a novel methodology…

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