A Quote by Steve Jurvetson

Machine learning allows us to build software solutions that exceed human understanding and shows us how AI can innervate every industry. — © Steve Jurvetson
Machine learning allows us to build software solutions that exceed human understanding and shows us how AI can innervate every industry.
India has a large base of tech talent, and I hope that a lot of AI machine learning education online will allow Indian software professionals to break into AI.
I'd like to make a fundamental impact on one of the most exciting, intelligent questions of all time. Can we use software and hardware to build intelligence into a machine? Can that machine help us solve cancer? Can that machine help us solve climate change?
Even companies like Baidu and Google, which have amazing AI teams, cannot do all the work needed to get us to an AI-powered society. I thought the best way to get us there would be creating courses to welcome more people to deep learning.
Deep-learning will transform every single industry. Healthcare and transportation will be transformed by deep-learning. I want to live in an AI-powered society. When anyone goes to see a doctor, I want AI to help that doctor provide higher quality and lower cost medical service. I want every five-year-old to have a personalised tutor.
As leaders, it is incumbent on all of us to make sure we are building a world in which every individual has an opportunity to thrive. Understanding what AI can do and how it fits into your strategy is the beginning, not the end, of that process.
There's a great phrase, written in the '70s: 'The definition of today's AI is a machine that can make a perfect chess move while the room is on fire.' It really speaks to the limitations of AI. In the next wave of AI research, if we want to make more helpful and useful machines, we've got to bring back the contextual understanding.
Deep learning is a subfield of machine learning, which is a vibrant research area in artificial intelligence, or AI.
It's very clear that AI is going to impact every industry. I think that every nation needs to make sure that AI is a part of their national strategy. Every country will be impacted.
I deeply appreciate the CSA and its initiatives to build equity in the industry by giving a platform to marginalized artists and listening to our concerns, and collaborating with us for impactful solutions.
Microsoft does not dominate the software industry by any stretch of the imagination. We have lots of very able competitors who keep us constantly vigilant, and sometimes they beat us to the punch. Microsoft's success to date is based solely on the fact that people like Microsoft software.
Beyond helping other people build AI systems with Deeplearning.ai, I also hope to build some AI systems myself!
I don't think there's a particular technology that will set the trajectory for us moving forward. We don't want to be one of the companies that say AI is the next big thing, let's go build an AI application for Robinhood. That might not work. It might be awkward.
I joined Baidu in 2014 to work on AI. Since then, Baidu's AI group has grown to roughly 1,300 people, which includes the 300-person Baidu Research. Our AI software is used every day by hundreds of millions of people.
I believe that every human being has an understanding of art. What is separating us is smaller than what is unifying us.
I could do a whole talk on the question of is AI dangerous.' My response is that AI is not going to exterminate us. It's a tool that's going to empower us.
We are going to completely change what it means to do advanced analytics with our data solutions. We have machine-learning stuff that is about really bringing advanced analytics and statistical machine learning into data-science departments everywhere.
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