Articles

Sharing enables screening 16 million structures in 7 minutes

In silico research is integral in drug discovery. Schrödinger has developed a new algorithm which can exploit a GPU to perform significantly faster screening. Sharing a preprocessed molecular library file in Puhti disk reduces screening wall clock time from weeks to minutes.

High-Performance Digitisation - giving a boost to the description of digital data

In the High-Performance Digitisation project, CSC, the National Archives and the National Library of Finland are jointly tackling the challenge of artificial intelligence and data processing. The purpose of the project is to create a service for memory organizations facilitating the processing of data: absence or inadequacy of metadata and poor search functions make digital material more difficult to use.

New detector breakthrough pushes boundaries of quantum computing

Physicists at Aalto University and VTT Technical Research Centre of Finland have developed a new detector for measuring energy quanta at unprecedented resolution. This discovery could help bring quantum computing out of the laboratory and into real-world applications.

DeepFin: State-of-the-art natural language processing for Finnish

A major challenge in implementing the BERT method for a variety of languages has been the sheer volume of text input and computational power required to train the model properly. The BERT method was implemented for Finnish in DeepFin, one of CSC's 2019 Grand Challenge pilot projects.

Structural biology guiding development of new SARS-Cov2 therapies

Ville Paavilainen at the University of Helsinki is researching a small molecule inhibitor that may prove useful in blocking SARS-CoV2 virus from replicating and thereby preventing the COVID-19 disease.

Visualization speaks more than a thousand numerals

Calculations and measurements produce numbers. People have evolved to interpret things they sense in their surroundings, not series of numbers. The brain is at its most accurate when analyzing images, so it is natural to visualize the research results into images

Revealing the functional mechanism of the main protease of SARS-CoV-2

Ilpo Vattulainen's group is using atomistic molecular dynamics simulations and machine learning techniques to unveil the mechanism of action of the main protease (mPro) of the SARS-COV-2 virus.

Seeking to understand language by learning from translations

MultiMT, one of CSC's Puhti supercomputer pilot projects, uses deep learning and neural machine translation to discover meaning that is not dependent on any single language.

The aftermath of the LUMI end user webinar

CSC organized a webinar for LUMI supercomputer's end users. The webinar included presentations and the audience had a chance to ask questions related to LUMI.

Kvasi — CSC acquires quantum computing simulator

The selection of services at CSC is soon augmented by a quantum computing simulator, capable of simulating algorithms for quantum computers of up to 30 qubits. The quantum simulator gives the Finnish science and research community the means to prepare for the upcoming era of quantum computing.

Using computer simulations in search of drugs against SARS-CoV-2

The researchers are searching areas on the surface of the new corona virus S-protein to which the drug could bind while preventing the virus from binding the ACE2 protein on the surface of human cells. The computing capacity reserved by CSC for research against the COVID-19 pandemic has significantly accelerated the progress of the research.

CSC offered resources in a virtual Biohackathon helping to develop new tools for COVID-19 analysis

More than 20 different projects and over 500 scientists, software developers and clinicians met in the online event from 5 to 11 April with a goal to improve the accessibility of COVID-19 data, protocols, analysis pipelines and provide dedicated compute resources to execute demanding data analysis tasks.

LUMI provides new opportunities for artificial intelligence research

Researcher Kimmo Kartasalo from Tampere University is very familiar with the requirements of artificial intelligence applications. Kartasalo believes that LUMI supercomputer and its huge computing capacity will open up a lot of different research opportunities, for example, in research utilizing AI.

New tools for quantum chemistry at high energies and loose bindings

Controlling radiation damage is a significant problem in the design and development of fusion reactors. Computational modeling of the radiation damage caused by the energetic particles generated by the fusion reactions hitting the walls of the reactor requires accurate knowledge of the highly repulsive part of the interatomic potential energy curve.

Optimized solutions for treating bone fractures will soon be reality

Mathematic modelling has been a standard tool for engineers for decades, but in clinical medicine, it is still a newcomer. The Finnish start-up software company Disior Ltd. develops computational software for treating bone fractures. The purpose is to bring mathematical modelling, known for its benefits in research and industry, available for physicians.

Korkeakoulutuksen kehittämishankkeille suunnatussa työpajassa luotiin yhteistä tilannekuvaa tulevaisuuden opetustarjonnasta

Helmikuussa järjestetyssä työpajassa visioitiin tulevaisuuden opetustarjontaa.

HPC-Europa3 – travel, learn, compute and collaborate

HPC-Europa3 programme funds international research visits requiring HPC. So far the programme has been a great success with over 200 satisfied visitors.

Faster method to read quantum memory

To extract any useful information, the method that reads information from qubits must take the least amount of time as possible, allowing as few errors as possible. Joni Ikonen, a PhD student at Aalto University, has developed a faster method to to read quantum memory.

Miten Suomesta tehdään digitalisaation suunnannäyttäjä

CSC haluaa antaa oman evästyksensä seuraavan hallitusohjelman valmisteluun.

Digihumanisti etsii uutta tietoa

Apulaisprofessori Mikko Tolonen haluaa löytää uutta tietoa historiasta laskennallisilla menetelmillä ja uskoo, että avoimen datan avulla tieteen kehitys kiihtyy.