The pioneering Ubex project and the Singularity project have signed a memorandum of understanding that foresees utilizing Singularity’s platform and infrastructure to construct and host Ubex AI services created using the platform.

The Ubex project intends to cooperate with Singularity in hosting, developing, training and enhancing the Ubex advertising platform’s AI construct, which plays a key role in shaping the dynamics of interaction between advertisers and publishers registered on the platform. Singularity’s advanced technologies, platform and vast expertise will be of immense value when shaping and perfecting the Ubex AI.

SingularityNET is a full-stack AI solution powered by a decentralized protocol. The project has assembled the leading minds in machine learning and blockchain to democratize access to AI technology. SingularityNET was born from a collective will to distribute the power of AI. Sophia, the world’s most expressive robot, is one of the project’s first use cases.

Today, Sophia uses multiple AI modules to see, hear, and respond empathetically. Many of her underlying AI modules will be available open-source on SingularityNET. Sophia is Hanson Robotics’ latest and most advanced robot to date and a cultural icon. She has become a media darling, appearing on major media outlets around the world, igniting the interest of people regardless of age, gender, and culture, even gracing the cover of one of the top fashion magazines. Her press coverage has a potential reach of over ten billion readers in 2017 Sophia is a highly sought-after speaker in business and showed her prowess and great potential across many industries. She has met face-to-face with key decision makers in banking, insurance, auto manufacturing, property development, media, and entertainment.

Ubex is delighted and proud to have reached a productive and mutual agreement with the Singularity project. The Ubex team is confident that such cooperation will be of immense use in increasing the value of the Ubex platform for all stakeholders.

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