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Artificial intelligence and machine learning are already an integral part of our everyday lives online. For example, search engines such as Google use intelligent ranking algorithms, and video streaming services such as Netflix use machine learning to personalize movie recommendations.

As the demands for AI online continue to grow, so does the need to speed up AI performance and find ways to reduce its energy consumption.

Now a University of Washington-led team has come up with a system that could help: an core prototype that uses phase-change material. This system is fast, energy efficient and capable of accelerating the used in AI and . The technology is also scalable and directly applicable to cloud computing.

In this edition of Future Discussions Ugochukwu discusses with the Head of TAFFD’s Africa on the vision and strategies for creating opportunities for education, technology and empowerment in Africa using the global channel that TAFFDs Africa is creating.

Brenda talks about why she joined TAFFD’s Inc and the amazing work she and her team has been doing to foster the progress of Africa. She equally talks about the 4th Industrial Revolution, what is means for Africa and the work TAFFD’s Africa is doing to prepare young Africans to leverage the opportunities therein.

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