How a novel machine learning system is bridging the gap between advanced models and expert insights to accelerate protein research Proteins are essential molecules with many critical roles in the body. Determining a protein’s 3D structure helps scientists understand its functions within cells. This is crucial for advances in biology, medicine, and drug design.

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 […]

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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

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.

Enoch’s Hammer of Luddite fame, at the Tolson Memorial Museum. I gave a talk at the Pint of Science Festival – an international science festival that takes places at local pubs and cafes across the world – this evening.

Using Mistral for Data tagging Author · Xuzeng He ( ORCID: 0009–0005–7317–7426) Introduction Data tagging, in simple terms, is the process of assigning labels or tags to your data so that they are easier to retrieve or analyse.

The Annual International Biocuration Conference (AIBC) was held for the first in India, at the Indian Biological Data Centre (IBDC), Regional Centre for Biotechnology (RCB), Faridabad and co-hosted by the Department of Plant Molecular Biology, University of Delhi South Campus. As usual, GigaDB had representation at the event (see write-ups of many previous meetings here), Mary Ann Tuli and Chris Hunter. Both of whom were wearing two hats!

Künstliche Intelligenz, aber reguliert? Die EU legt die weltweit erste Verordnung vor, um die Potentiale und Risiken von KI-Systemen gesetzlich zu regeln. Der AI-Act enthält Transparenz-Pflichten für KI-Anbieter, Regelungen zu Deep Fakes, hohem Energieverbrauch und zu einigem mehr. KI-Systeme wie beispielsweise ChatGPT können Bewerbungen schreiben, Reisen planen, Studienarbeiten verfassen und sogar Kunstwerke nachahmen oder Stimmen imitieren.