IBM Research is one of the world’s largest and most influential corporate research labs, with more than 3,000 researchers in 12 labs located across six continents. IBM Research enables IBM to produce more breakthroughs than any company in the industry, averaging more than 22 patents per day (in 2016). Sustained by this pace of innovation, IBM has topped the list of annual U.S. patent recipients for 25 consecutive years.
IBM Israel Science and Technology Limited, better known as IBM Research – Haifa, was first established in 1972.
Since then, the lab has conducted decades of research vital to IBM’s success. The lab is one of 9 research laboratories located outside of the United States, and has close working relationships with IBM Israel and its twin research laboratory in Zurich. In Haifa, 75 percent of the technical staff have MSc or PhD degrees in computer science, electrical engineering, mathematics, or related fields. Employees are actively involved in teaching at Israeli higher education institutions and in supervising postgraduate theses.
R&D projects are being executed at IBM Research – Haifa today in areas such as cloud computing, Big Data analytics, cognitive computing, IoT and mobile platforms, healthcare informatics, security, quality and verification, object storage, and more. The Computing as a Service research area targets the transformation of IT through cloud computing, while leveraging skills in quality, security, storage, networking, systems, and software-defined environments.
The goal of the Cloud Platforms department is to develop cutting-edge cloud infrastructure technologies, and to bring cloud capabilities and technologies to the enterprise world – helping enterprises that
have legacy systems move to the cloud in a way that is easy, efficient, and improves business.
The focus is on scalability and elasticity, cost, security, migration of data and compute, and performance.
Cloud Architectures and Networking group addresses challenges on all the layers of the compute stack and of the interconnect, focusing on Core Systems Architecture and Networking, to benefit existing and emerging cloud workloads such as Cloud Storage and Big Data processing, Machine Learning and Deep Learning, cognitive computing and IoT.