AI Non-Profit Hires Apple’s Head of Machine Learning as CEO

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Apple’s head of machine learning, Ali Farhadi, has left the company to become the new CEO of an AI non-profit. Before joining Apple in 2020, Farhadi co-founded Xnor.ai while working at Allen Institute for AI (AI2). At Apple, Farhadi headed up the company’s machine learning efforts until his recent departure.

Now, he’s returning to AI2, where he previously spent six years, this time as their CEO. In his new role, he hopes to shape the development of truly open and transparent AI research that is grounded in science. Farhadi believes this radical approach to openness is essential for building the next generation of AI.

Today more than ever, the world needs truly open and transparent AI research that is grounded in science and a place where data, algorithms, and models are open and available to all. I believe this radical approach to openness is essential for building the next generation of AI. The world class researchers and engineers at AI2 are uniquely positioned to lead this new open and trusted approach to AI development.

AI2’s board of directors and corporate vice president of Microsoft Research & Incubations, Dr. Peter Lee, expressed his excitement over Farhadi’s appointment. He described Farhadi as a rare leader who combines expertise as an executive, entrepreneur, academic, and researcher. Farhadi is expected to carry on AI2’s vision for AI as a positive force in the world.

AI2 is the premier AI research and engineering nonprofit whose work is aimed at advancing the science and impact of artificial intelligence globally. Therefore, Farhadi is a highly qualified individual who possesses the skill set necessary to lead AI2’s next chapter.

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I could not think of a better time to return to AI2 as CEO, said Ali Farhadi. As we face unprecedented changes in the development and usage of AI, I believe AI2’s work to advance the science and impact of artificial intelligence globally has never been more critical.

Frequently Asked Questions (FAQs) Related to the Above News

Who is Ali Farhadi?

Ali Farhadi is the former head of machine learning at Apple who recently left the company to become the new CEO of AI non-profit, AI2.

What is AI2?

AI2 is a premier AI research and engineering non-profit that aims to advance the science and impact of artificial intelligence globally.

What is Ali Farhadi's vision for AI development?

Ali Farhadi's vision for AI development is a truly open and transparent approach that is grounded in science and where data, algorithms, and models are open and available to all. He believes that this approach is essential for building the next generation of AI.

What is the reaction of AI2's board of directors and Microsoft's corporate vice president of research to Ali Farhadi's appointment as CEO?

AI2's board of directors and Microsoft's corporate vice president of research expressed their excitement over Farhadi's appointment. They described Farhadi as a rare leader who combines expertise as an executive, entrepreneur, academic, and researcher, and is expected to carry on AI2's vision for AI as a positive force in the world.

What does Ali Farhadi hope to achieve as CEO of AI2?

Ali Farhadi hopes to shape the development of truly open and transparent AI research at AI2, and believes that this radical approach to openness is essential for building the next generation of AI. He believes that AI2's world-class researchers and engineers are uniquely positioned to lead this new open and trusted approach to AI development.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Kunal Joshi
Kunal Joshi
Meet Kunal, our insightful writer and manager for the Machine Learning category. Kunal's expertise in machine learning algorithms and applications allows him to provide a deep understanding of this dynamic field. Through his articles, he explores the latest trends, algorithms, and real-world applications of machine learning, making it accessible to all.

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