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Senin, 25 Februari 2019 20:42:00

Insilico Medicine's MolHack 2019, Global Online Hackathon Starts Feb 25 

The objective is the recruitment of talent with deep learning and biochemistry knowledge in Taiwan
Top Prizes include a 15" MacBook Pro and high-end GPUs
The top three Taiwan participants have the opportunity to join Insilico Taiwan's R&D team

TAIPEI, TAIWAN, - February 25, 2019 - Insilco Medicine, one of the world's leading artificial intelligence (AI) companies in the field of deep learning for drug discovery, will host MolHack 2019 in Taiwan, an online talent competition/hackathon from February 25th to March 31st.   

With a focus of "Deep Learning for Small Molecule Generation," the event is expected to attract top teams in deep learning and biochemistry from around the world to participate. The top prize is a 15" MacBook Pro, with second and third prizes of high-end NVIDIA GPUs.   Additionally, the top 3 entrants in Taiwan will have the opportunity to join Insilico Medicine as a member of its R&D team.

 
MolHack 2019: Deep Learning Hackathon for Drug Discovery
Traditional drug discovery efforts take years or even decades to develop new pharmaceuticals. Insilico Medicine aims to dramatically shorten this time by applying deep learning techniques. The most important aspect of deep learning AI drug discovery methods is the ability to design novel molecular structures with specific characteristics of interest.
 
During this competition, participants should design and train Generative Deep Neural Networks, conditioned on molecular fingerprints, to show the ability to generate new molecular structures with similar fingerprints.
 
Insilico Medicine has been hosting hackathons since its inception, and hackathons are one of the company's primary tools for recruiting new talent.  Over the years, the company's hackathons have attracted numerous young scientists and rising stars from around the world in the bioscience and information industries.

In April 2018, Insilico hosted a hackathon inviting participants to develop algorithms to predict the binding activity of ligands to proteins under specific structural conditions. Taiwanese entrant Cynthia Yang won first place in Taiwan and second place in the world, which led to her recruitment by Insilico Taiwan as part of its R&D staff, where she now works on both local and international projects.  The company provides an excellent working environment, international exposure and ample opportunities for personal growth in this fast-growing field.
 
We fully expect to see some very exciting outcomes from this event, and we invite talented young scientists in Taiwan and around the world to participate!
 
To register for the MolHack 2019 Online Hackathon, please visit this link: 
http://molhack.com/
 
The Rise of Deep Learning
Over the past few years, deep learning has become an essential research tool in many different domains and industries. The latest advancements have made it possible for neural networks to perform certain tasks better than humans. Deep learning techniques have also helped us to find solutions to previously impossible problems, and this will continue to be a trend well into the future.
 
With this rise in deep learning, the share of artificial intelligence-related jobs has risen from 20% in 2016 to 31.6% in 2017 and continues to grow. It is estimated that the number of jobs related to artificial intelligence will reach 2.3 million in 2020. (*).


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