knowledge discovery

AI4GH Seminar Series | Predicting Protein Function and Phenotype Associations

Maxat Kulmanov, Research Scientist, Bio-Ontology Research Group

Oct 10, 12:00 - 13:00

B2 R5220

biology biomedicine artificial intelligence knowledge discovery data integration protein function prediction

The amount of available protein sequences is rapidly increasing, mainly as a consequence of the development and application of high throughput sequencing technologies in the life sciences.

CEMSE Big Data Open Day shows off fascinating discoveries

1 min read · Thu, Dec 8 2016

big data machine learning knowledge discovery supercomputing

The fifth-anniversary event marked CEMSE's biggest successes and featured 20 KAUST discoveries, with more than 1,000 visitors from the community attending the event."Big data has many applications: to understand medicine better; to manage food supplies, and to connect objects. Data is at the center of everything," said Dean Mootaz Elnozahy of the University's Computer, Electrical, Mathematical Science and Engineering (CEMSE) Division at the CEMSE Big Data Open Day held on December 4, 2016.

New Book "Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining" of Professor Moshkov and His Former Students is Published by Springer

1 min read · Mon, Jul 9 2018

machine learning knowledge discovery data mining combinatorial optimization

A new book - "Extensions of Dynamic Programming for Combinatorial Optimization and Data Mining" by Hassan AbouEisha, Talha Amin, Igor Chikalov, Shahid Hussain, and Mikhail Moshkov - was recently published by Springer.