New IBM Research centre gets operational in Braamfontein

IBM Research opened its second research location on the African continent and announced several new project collaborations in the areas of data driven healthcare, digital urban ecosystems and astronomy. IBM researchers in South Africa with backgrounds in machine learning, mathematics, computer science, robotics, genomics and computational biology, are exploring the use of cognitive computing, the Internet of Things and Big Data to support South Africa’s national priorities, drive skills development and foster innovation-based economic growth.


 

Dr Solomon Assefa_1000x550_2
Solomon Assefa, Director, IBM Research Africa.

 

The IBM Research lab is located in the Tshimologong Precinct in Braamfontein, an inner-city area which is today re-emerging as a vibrant Johannesburg district. The two-level, 900 square meter lab has a DIY maker space with electronic design equipment and a 3D printer.
The IBM Research lab is located in the Tshimologong Precinct in Braamfontein, an inner-city area which is today re-emerging as a vibrant Johannesburg district. The two-level, 900 square meter lab has a DIY maker space with electronic design equipment and a 3D printer.

 

“South Africa is a tremendous growth and transformation story, yet its increasing population and healthcare delivery shortfalls continue to pose challenges in the country,” said Solomon Assefa, Director, IBM Research Africa. “With the ability to detect patterns and discover new correlations, cognitive and cloud computing and the Internet of Things can provide potential solutions.”


 

(Left to right) Team members of IBM Research Africa: Pavan Kumar Rallabandi, Tapiwa Chiwewe, Solomon Assefa, Fungai Mandikuwaza, Precious Khuthadzo Razwiedane, Darlington Shingirirai Mapiye, Melvin Mathew Varughese (sitting). (Image Eyescape Corporate Photography)
(Left to right) Team members of IBM Research Africa: Pavan Kumar Rallabandi, Tapiwa Chiwewe, Solomon Assefa, Fungai Mandikuwaza, Precious Khuthadzo Razwiedane, Darlington Shingirirai Mapiye, Melvin Mathew Varughese. (Image Eyescape Corporate Photography)

 

The lab’s team of scientists is already collaborating extensively with local universities, research institutions, innovation centers, start-ups and government agencies. This will help foster South Africa’s emerging technology ecosystem and develop and scale new innovations.

As part of a ten-year investment program through South Africa’s Department of Trade and Industry and working closely with the Department of Science and Technology, the new research lab is based at the University of the Witwatersrand. The university was recently ranked amongst the top ten in emerging economies by the Times Higher Education World University Rankings.

“The launch of the IBM Research laboratory is an exciting milestone in the move towards a new era of globally competitive research, innovation and entrepreneurship that will be emerging out of the Tshimologong Precinct in Braamfontein. Wits is delighted to be collaborating with IBM. We look forward to seeing top talent congregate to address the continent’s most intractable problems and work on the world’s next game changing technologies,” said Professor Adam Habib, Vice Chancellor and Principal of the University of the Witwatersrand.


 

Toby Kurien, an electronics engineer and Precious Khuthadzo Razwiedane, a graduate intern at IBM Research Africa, are programming sensor devices designed by SiGNL, a local South African start-up which prototypes smart objects that extend into real world experiences.
Toby Kurien, an electronics engineer and Precious Khuthadzo Razwiedane, a graduate intern at IBM Research Africa, are programming sensor devices designed by SiGNL, a local South African start-up which prototypes smart objects that extend into real world experiences.

 

The team is using the sensors and IBM analytics to demonstrate how communicable diseases, such as tuberclulois can spread. This will help healthcare organisations to develop prevention strategies, enable public health officials respond effectively, and hospitals prepare for emergencies.
The team is using the sensors and IBM analytics to demonstrate how communicable diseases, such as tuberclulois can spread. This will help healthcare organisations to develop prevention strategies, enable public health officials respond effectively, and hospitals prepare for emergencies.

 

In support of the World Health Organisation’s End Tuberculosis Strategy, IBM scientists are designing wearable sensor technology connected to the Watson Internet of Things to trace the spread of highly infectious, communicable diseases. This innovation will help healthcare organisations and health officials develop prevention strategies and respond effectively.

IBM scientists are developing cognitive learning approaches to transform cancer reporting, prevention and precision medicine in Africa. In a proof of concept study, IBM scientists have discovered a basic molecular link between cancer causing genes and those associated with metastasis, the cause of 90% of cancer related deaths. Preliminary results from this work have been presented recently.

Using anonymous, unstructured data provided by the National Cancer Registry in South Africa and in collaboration with the University of Witwatersrand Medical School, the team is developing cognitive algorithms to automate the inference of national cancer statistics in South Africa. This technology is expected to reduce a five-year time lag in cancer statistics reporting to real-time.


 

IBM scientists Geoffrey Henry Siwo and Pavan Kumar Rallabandi collect a sample from a seat in a bus station.
IBM scientists Geoffrey Henry Siwo and Pavan Kumar Rallabandi collect a sample from a seat in a bus station.

 

With the support of the City of Johannesburg, IBM scientists have collected 65 samples of microbes and bacteria from 19 bus stations across the city as part of the global Metagenomics and Metadesign of the Subways and Urban Biomes international consortium. Once the samples are processed the results will be available to city planners, public health officials and scientists who will use the data to help officials predict and prepare for future disease outbreaks and discover new species and biological systems.

In early September, scientists from IBM, H3ABioNet and the University of Notre Dame will host a hackathon on anti-malarial drug resistance and drug combination prediction.


 

Tapiwa Chiwewe is a Research Scientist leading the programme on the Science of Urban Ecosystems.
Tapiwa Chiwewe is a Research Scientist leading the programme on the Science of Urban Ecosystems.

 

Building on IBM’s global Green Horizons initiative, researchers at the new lab are working closely with experts from South Africa’s Council for Scientific and Industrial Research to analyse historical and real-time data from environmental monitoring stations. Using machine learning and cognitive models, the data collected in the City of Johannesburg, the City of Tshwane and the Vaal Industrial Triangle will help provide more insight about air pollution and model the effectiveness of intervention strategies. The project has recently been extended to predict ground level ozone and air quality forecasting.


 

Bonolo Mathibela and her colleagues at IBM Research in South Africa have developed a traffic optimisation recommendation tool which can help city officials dispatch traffic volunteers, known locally as pointsmen, to the intersections where they are most urgently needed due to unreliable traffic light infrastructure.
Bonolo Mathibela and her colleagues at IBM Research Africa have developed a traffic optimisation recommendation tool which can help city officials dispatch traffic volunteers, known locally as pointsmen, to the intersections where they are most urgently needed due to unreliable traffic light infrastructure.

 

Commuters in the City of Johannesburg currently spend 35 minutes extra travel time per day due to traffic congestion, according to the TomTom Traffic Index. Unreliable traffic light infrastructure provides challenges to traffic light management in the city. Using real time anonymised traffic data from TomTom combined with Twitter, IBM scientists have developed a traffic optimisation recommendation tool which can help city officials dispatch traffic volunteers, known locally as pointsmen, to the intersections where they are most urgently needed.


 

Building on IBM's global Green Horizons initiative, researchers at IBM Research Africa are working closely with experts from South Africa's Council for Scientific and Industrial Research to analyse historical and real-time data from environmental monitoring stations.
Building on IBM’s global Green Horizons initiative, researchers at IBM Research Africa are working closely with experts from South Africa’s Council for Scientific and Industrial Research to analyse historical and real-time data from environmental monitoring stations.

 

The City of Cape Town often battles with devastating wild fires, due to its unique topography and vegetation. Using data from The Weather Company, an IBM business, and the City of Cape Town’s Open Data portal, IBM scientists have developed a cognitive dashboard. This can assess fire incidence risk and severity to help officials raise public awareness and prepare for emergency response.

Building on IBM’s global Green Horizons initiative, researchers at IBM Research Africa are working closely with experts from South Africa’s Council for Scientific and Industrial Research to analyse historical and real-time data from environmental monitoring stations.

Using machine learning and cognitive models, the data collected in the City of Johannesburg, the City of Tshwane and the Vaal Industrial Triangle will help provide more insight about air pollution and model the effectiveness of intervention strategies. The project has recently been extended to predict ground level ozone and air quality forecasting.

The number of people living off-the-grid in Africa has grown by 114 million since 2000. To help meet the energy needs of communities who are living remotely or would like to make use of renewable energy, IBM scientists have developed a mobile app which uses analytics to determine the solar requirements of users based on their energy needs and location.


 

astronomy_1000x550
IBM Research are collaborating with SKA South Africa on the development of a cognitive technology called the Serendipity Machine. Using radio waves collected by the SKA telescopes the Serendipity Machine will apply novel unsupervised cognitive algorithms to make groundbreaking astronomical discoveries by revealing hidden structures and finding new types of objects such as pulsars, black holes and quasars.

 

Francois Luus is a computer engineer and machine learning enthusiast at IBM Research Africa. He is carving out the Cognitive Computing leadership of the lab demonstrated through an extensive Cognitive Astronomy collaboration with the Square Kilometer Array project.
Francois Luus is a computer engineer and machine learning enthusiast at IBM Research Africa. He is carving out the Cognitive Computing leadership of the lab demonstrated through an extensive Cognitive Astronomy collaboration with the Square Kilometer Array project.

 

In 2018 the, Square Kilometer Array, the world’s largest radio telescope, will be built in South Africa and Australia. IBM scientists are collaborating with SKA South Africa on the development of unsupervised algorithms which can make groundbreaking astronomical discoveries. Scientists expect to eventually apply the cognitive technology to other applications, including the development of new pharmaceuticals and genomics. IBM and SKA-SA have signed an agreement to explore the advancement of this technology and to lead some major developments in data science over the next decade.

IBM scientists in South Africa are joining NASA, the SETI Institute and Swinburne University to develop an Apache Spark application to analyse the 168 million radio events detected over the past 10 years by the Allen Telescope Array. The volume and complexity of the data requires advanced machine learning algorithms to separate noise from true signals of interest. These requirements are well suited to the scalable in-memory capabilities offered by Apache Spark when combined with the big data capabilities of the IBM Cloud and IBM Bluemix Spark.


 

Stephen Odhiambo helped to build an IaaS platform based on OpenStack connected to IBM Storwize for efficiently provisioning 80TB of storage for research projects at IBM Research Africa.
Stephen Odhiambo helped to build an IaaS platform based on OpenStack connected to IBM Storwize for efficiently provisioning 80TB of storage for research projects at IBM Research Africa.

 

Agile work spaces provide a collaborative environment for IBM scientists to train and mentor Wits students and local start-ups.
Agile work spaces provide a collaborative environment for IBM scientists to train and mentor Wits students and local start-ups.

 

The new lab features an Infrastructure-as-a-Service platform based on OpenStack connected to IBM Storwize for efficiently provisioning 80TB of storage for research projects. The lab is located in the Tshimologong Precinct in Braamfontein, an inner-city area which is today re-emerging as a vibrant Johannesburg district. The two-level, 900 square meter lab has a DIY maker space with electronic design equipment and a 3D printer.

Agile work spaces provide a collaborative environment for IBM scientists to train and mentor Wits students and local start-ups. Developer communities across Africa will also have access, at no charge, to a LinuxONE Community Cloud located in Johannesburg, which acts as a virtual R&D engine for creating, testing and piloting emerging applications via the cloud.


IBM has operated in Africa for almost 100 years. Today, its operations span 24 countries, including South Africa, Morocco, Egypt, Nigeria, Ghana, Angola, Kenya and Tanzania. IBM’s first African research lab was opened in Nairobi, Kenya in 2013. The South African research facility supports IBM’s Equity Equivalent Investment Programme. In recent years, IBM has also invested in the development of an IBM Client Centre, an Innovation Centre, Service Delivery Centre and a number of offices and data centers across South Africa.

 

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