Nanotech

Implications of Rachel Reeves’s Mais Lecture for Science & Innovation Policy

Updated: 2024-03-28 11:24:57

There will be a general election in the UK this year, and it is not impossible (to say the least) that the Labour opposition will form the next government. What might such a government’s policies imply for science and innovation policy? There are some important clues in a recent, lengthy speech – the 2024 Mais … Continue reading "Implications of Rachel Reeves’s Mais Lecture for Science & Innovation Policy"

Optical fibres and the paradox of innovation

Updated: 2024-03-27 21:38:54

Here is one of the foundational papers for the modern world – in effect, reporting the invention of optical fibres. Without optical fibres, there would be no internet, no on-demand video – and no globalisation, in the form we know it, with the highly dispersed supply chains that cheap and reliable information transmission between nations … Continue reading "Optical fibres and the paradox of innovation"

Characterization of Biological Particles Using an integrated Hyperspectral Imaging and Machine Learning

Updated: 2024-03-07 02:30:00

: Home Search Browse Collections My Account About Digital Commons Networkâ¢ Skip to main content Home About FAQ My Account Home GIRS GIRS 2024 5 GIRS 2024 Advancing Technology : From Models to Molecules , Machines , and More Characterization of Biological Particles Using an integrated Hyperspectral Imaging and Machine Learning Presenter Information Kaeul Lim Purdue University Follow Arezoo Ardekani Purdue University Follow Start Date 7-3-2024 10:30 AM Abstract Hyperspectral imaging HSI is a promising modality in medicine with many potential applications . This study focuses on developing a label-free lipid nanoparticle characterization method using a convolutional neural network CNN analysis of HSI images . The HSI data , hypercube , consists of a series of images acquired at different