Étiquette : science (Page 1 of 2)

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“This computational work represents a stunning advance on the protein-folding problem, a 50-year-old grand challenge in biology. It has occurred decades before many people in the field would have predicted. It will be exciting to see the many ways in which it will fundamentally change biological research”.

Professor Venki Ramakrishnan – Nobel Laureate and President of the Royal Society

“We trained this system on publicly available data consisting of ~170,000 protein structures from the protein data bank together with large databases containing protein sequences of unknown structure. It uses approximately 16 TPUv3s (which is 128 TPUv3 cores or roughly equivalent to ~100-200 GPUs) run over a few weeks, a relatively modest amount of compute in the context of most large state-of-the-art models used in machine learning today.”

Source : AlphaFold: a solution to a 50-year-old grand challenge in biology | DeepMind

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“A number of researchers have analysed various selection methods and suggested that incorporating randomness has advantages over the current system, such as reducing the bias that research routinely shows plagues grant-giving, and improving diversity among grantees1.”

Source : Science funders gamble on grant lotteries

“On Monday, researchers will tell the world’s largest annual meeting of neuroscientists that some scientists working on organoids are “perilously close” to crossing the ethical line, while others may already have done so by creating sentient lumps of brain in the lab. “If there’s even a possibility of the organoid being sentient, we could be crossing that line,” said Elan Ohayon, the director of the Green Neuroscience Laboratory in San Diego, California. “We don’t want people doing research where there is potential for something to suffer.””

Source : Scientists ‘may have crossed ethical line’ in growing human brains | Science | The Guardian

“Interviews with 30 attendees revealed a pattern in the stories people told about how they came to be convinced that the Earth was not a large round rock spinning through space but a large flat disc doing much the same thing. Of the 30, all but one said they had not considered the Earth to be flat two years ago but changed their minds after watching videos promoting conspiracy theories on YouTube.”

Source : Study blames YouTube for rise in number of Flat Earthers | Science | The Guardian

“Recent studies have shown that stigmergy is not necessary to explain concerted construction: Green et al. showed that worker aggregation rather than the previously suspected presence of cementation pheromone localized excavation work sites in termites, and Bruce found no behavioural response to freshly excavated soil that would contain a digging pheromone were it an organizing factor in excavation in leafcutter ants. Eciton army ants, which self-assemble into bridges to cross trail gaps, gauge the necessity to reinforce or leave these structures based purely on the rate of physical contact with passing workers with no evidence of stigmergic processes.”

Source : Infrastructure construction without information exchange: the trail clearing mechanism in Atta leafcutter ants | Proceedings of the Royal Society B: Biological Sciences

«Les prétentions à la suzeraineté de ces plates-formes, pour reprendre la formule de Alain Supiot (2) dans Gouverner par les nombres, doit être combattue par la souveraineté des États (comme le fait le RGPD) pour contraindre ces plates-formes à remettre dans le domaine public toutes les données et traces qui sont à leur disposition, données produites par le public et qui méritent d’être reprises, traitées et contrôlées par des organismes scientifiques publics avant d’être mises à disposition des chercheurs dans des conditions précises comme c’est le cas pour les recensements (et donc avec des limites). Les principes de la science ouverte risquent fort de rester des vœux pieux si on ne s’attaque pas dès maintenant à cette prédation des données par l’oligopole de l’attention que constituent les GAFAMT» – Dominique Boullier.

Source : Facebook et la recherche : le « quasi État » | InternetActu.net

«The most basic problem is that researchers often don’t share their source code. At the AAAI meeting, Odd Erik Gundersen, a computer scientist at the Norwegian University of Science and Technology in Trondheim, reported the results of a survey of 400 algorithms presented in papers at two top AI conferences in the past few years. He found that only 6% of the presenters shared the algorithm’s code. Only a third shared the data they tested their algorithms on, and just half shared « pseudocode »—a limited summary of an algorithm. (In many cases, code is also absent from AI papers published in journals, including Science and Nature.)».

Source : Missing data hinder replication of artificial intelligence studies | Science | AAAS

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