By CultureBanx Team
Ghana is home to Google’s 1st A.I. research lab
Google wants to use A.I. to solve Africa's problems in health, education and agriculture
Internet search giant Google (GOOGL +0.11%) wants to provide researchers with the necessary artificial intelligence products that can solve Africa's problems in every field, particularly in health, education and agriculture. The tech company opened its first A.I. research lab in Ghana to address the increasing interest in machine learning research across the continent.
Why This Matters: Artificial intelligence is becoming increasingly more commonplace in daily life, with companies like Google looking to incorporate it across their platforms. Originally announced last summer by Google, the center in Ghana is dedicated to A.I. research and its applications. Since it's one of the most disputed parts of technology, it will be interesting to see how machine learning algorithms created at this lab will help Africans level the global tech playing field.
A.I. continues to be a billion dollar industry, with company’s like Google willing to double down on efforts globally for lucrative profits. A recent IDC report noted it expects worldwide spending on cognitive and A.I. systems to reach $77.6 billion in 2022.
On its website they stated their committed to collaborating with local universities and research centers, as well as working with policy makers on the potential uses of A.I. in Africa. Google will need to tackle a couple of issues up front including the need for A.I. to translate the more than 2,000 African languages spoken on the continent. Also, the average African who uses basic mobile devices and has limited access to the internet, presents a major access issue for A.I. that’s designed to be deployed on powerful machines.
Situational Awareness: In Google’s recently released SEC annual report it highlighted their brand concerns around A.I. that could impact the company’s bottom line. “New products and services, including those that incorporate or utilize artificial intelligence and machine learning… may negatively affect our brands and demand for our products and services and adversely affect our revenues and operating results,” the company wrote.
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