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Why Business and Academia Need Each Other for Better AI


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Why business and academia need each other for better AI

Self-driving car companies need universities to create the mathematical tools and computing techniques for testing and certifying their AI systems. Likewise, universities need companies to provide them with the real-life data that is required to create these technology development standards and methods.

Greater adoption of artificial intelligence by business depends on universities doing more fundamental research with their corporate partners. Take self-driving cars. Advances in neural networks have led to the development of autonomous vehicles that are better than a few years ago. Still, self-driving cars are years, and possibly decades, away from widespread use.

The best way to accelerate the needed innovation is cooperation between academics and business. Researchers have 200 years of engineering science to draw from when developing complicated machinery such as automobiles, says Martial Hebert, dean of computer science at Carnegie Mellon University, who was interviewed for the article. But with machine learning, "we have basically none of that," creating a big challenge for companies developing self-driving cars.

From Fortune
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