Watch a DOME Webinar on Machine Learning Best Practices & Recommendations on 24th September 2024 In recent years, there has been a substantial increase in scientific publications in journals publishing computational research such as ours utilising Machine Learning (ML). This represents a significant challenge for disseminating and assessing scientific research as the black box and […]

The post Machine Learning Standards in the Wild. DOME Webinar on ML Recommendations and Applications appeared first on GigaBlog.

Opening a Cabinet of Curiosities in Montreal Readers of this blog must know every summer the GigaScience Press team gathers at the ISMB (International Conference on Intelligent Systems for Molecular Biology) conference, where the great and good of computational biology gather for the largest bioinformatics conference of the year.

GitHub recently previewed ‘Copilot Workspace’, which aims to use generative AI to assist software developers. Rather than just giving in-line suggestions, as GitHub copilot does, workspace allows users to map out and execute entire projects. We got early preview access to the tool, so decided to see how well it performed for our needs in Epiverse-TRACE.

Plant phenotyping – the science of gathering precise information and measurements on plants – has seen massive improvements recently, and the combination of sensor technology and AI methods will continue to change the way crops are assessed and improved. A new article in GigaScience demonstrates where this is going: Jonas Bömer and colleagues at the Institute of Sugar Beet Research (Göttingen) used

Image: Apple As is custom, Apple gave a sneak peek into the new features that will come with the new versions of their operating systems later this year at the WWDC.

The 8th World Congress on Research Integrity (WCRI) took place in Athens, Greece from 1st-5th June. GigaScience Press are regular attendees of this conference, and this year our organisation was represented by GigaScience Editor-in-Chief Scott Edmunds, Executive Editor Nicole Nogoy, and Data Scientist Chris Armit.

As an Open Science publisher we’ve pushed for transparency and access in the research that we disseminate, and in GigaByte journal we’ve just published a new open-source software tool “GetFreeCopy” that is demonstrative and addresses many features of this. To tell us more we have a Q&A with lead author Kuan-lin Huang, an Assistant Professor of Genetics and Genomics &

I know this is hardly news any more, but here is a particularly spectacular example of a Large Language model (“artificial intelligence”) making mistake after mistake. My question: Who described Xenoposeidon, when and where?

Today we publish a new Data Release presenting a dataset of jellyfish sightings collected by citizen scientists from 2021 through 2023 within Hong Kong waters. This is the first example where our curation team have worked with a Citizen Science project to share their observations in the GBIF biodiversity database.

A novel compression technique ensuring comparable performance with 70% less parameters Author Amanda Kau ( ORCID : 0009–0004–4949–9284) Introduction The sizes of large language models (LLMs) have been steadily increasing over the last few years.