Machine learning

IEEE selects Molecular Connections to support technology innovation in scholarly publishing
04/09/2024

IEEE selects Molecular Connections to support technology innovation in scholarly publishing

« IEEE, the world’s largest technical professional organization dedicated to advancing technology for humanity, has selected Molecular Connections (MC) to help drive its innovation efforts in its publishing operations. The collaboration would entail developing state of the art technologies including machine learning (ML) to support the critical areas of research integrity,…

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PleIAs – OCRonos-Vintage | The case for specialized pre-training: ultra-fast foundation models for dedicated tasks
07/08/2024

PleIAs – OCRonos-Vintage | The case for specialized pre-training: ultra-fast foundation models for dedicated tasks

« Pre-training foundation models is generally thought to be the exclusive domain of a handful of AI labs and big tech companies. This is changing. Thanks to more powerful GPUs, optimized programming frameworks (like llm.c) and better datasets, pre-training is becoming affordable and a competitive alternative to fine-tuning.
At PleIAs…

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The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency and Usability in AI
22/03/2024

The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency and Usability in AI

« Generative AI (GAI) offers unprecedented possibilities but its commercialization has raised concerns about transparency, reproducibility, bias, and safety. Many « open-source » GAI models lack the necessary components for full understanding and reproduction, and some use restrictive licenses, a practice known as « openwashing. » We propose the Model Openness Framework (MOF), a ranked…

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scite: a smart citation index that displays the context of citations and classifies their intent using deep learning
20/07/2021

scite: a smart citation index that displays the context of citations and classifies their intent using deep learning

« Citation indices are tools used by the academic community for research and research evaluation which aggregate scientific literature output and measure impact by collating citation counts. Citation indices help measure the interconnections between scientific papers but fall short because they fail to communicate contextual information about a citation. The usage…

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Semantic maps and metrics for science using deep transformer encoders
14/04/2021

Semantic maps and metrics for science using deep transformer encoders

« The growing deluge of scientific publications demands text analysis tools that can help scientists and policy-makers navigate, forecast and beneficially guide scientific research. Recent advances in natural language understanding driven by deep transformer networks offer new possibilities for mapping science. (…)
Here we report a procedure for encoding scientific…

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