Machine Learning Technologies
At the Machine Learning Technologies group in Haifa, we believe machine learning lies at the heart of creating cognitive systems. Our team works on cutting edge research in the field of deep learning to tackle questions such as: What does it take to transform human natural language to forms that computers can process? How can computers perform cognitive tasks using their ability to move back and forth between natural language and its internal learned representation? What does it mean for a computer to learn human language?
Our team leverages and develops algorithms for automatic pattern recognition, prediction, classification, and learning of structures. We apply the algorithms in various fields, using large scale computing infrastructure. Our expertise includes supervised and unsupervised machine learning, Bayesian networks, anomaly detection, and recommendation systems. We are creating, developing, and training deep neural networks with an emphasis on sequence analysis using recurrent neural networks of all sorts, mainly for natural language tasks.
Our work involves close collaboration with IBM teams around the globe, academic institutions, and industrial companies. We believe the cognitive computing abilities that will be on the shelf tomorrow, are being researched and developed here today.
- Problem Determination, System Management and Monitoring (MELODY)
- Decision Support for Policy Makers