Startup Grind
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Mike Abbott, Partner of Kleiner Perkins Caufield & Byers, sits with Dr. Fei Fei Li, Associate Professor in the Computer Science Department at Stanford, and the Director of the Stanford Artificial Intelligence Lab and the Stanford Vision Lab.
Dr Li’s main research areas are in machine learning, deep learning, computer vision and cognitive and computational neuroscience. She has published more than 150 scientific articles in top-tier journals and conferences and invented ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI. As of January 2017, Fei-Fei Li is spending her sabbatical at Google Cloud as Chief Scientist AI/ML.
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dude talks to much, let the genius finish her thoughts
We already have big data and algorithms to create AI. But an AI that can respond instantaneously requires the CPU speed at least twice of the Watson to make it efficient and practical in the real world. The Moore's law is running out and there's about 10 other ways to create a faster chip. So, it's the speed of the chip now.
Sitting cross-legged on a couch onstage just looks weird on so many levels
thank you for this video. great talk ?
AI is going to leave a lot of people jobless. and bullshit Prof talk about humanity. becoz the rich finance it
Word of advice .. .watch on 1.25x! Also, notice the subtle sales pitch – google makes money from selling ML api services. So what fei is really saying is don't compete, just pay us money to do it for you. That's fine – google has to make money – but it doesn't touch upon the issue that these API's aren't really that great and robust. Furthermore, they will be misused immensely since the people using them won't have a clue about statistics and machine learning. The API's are just passthroughs to pre-trained ML models. ML models need to be retrained on YOUR data and no 2 datasets are the same, so that is why API's are doomed to failure.
How Google and other tech giants buy AI start-ups.
This snowballing of data is important indeed. however, startups must remember that big corporations like Google can use the Cloud to dominate them and make them lose their independence. They can react by preparing for the next AI, when Google data will be less useful
Details in my answer to Fei-Fei Li: https://medium.com/@mostafab/how-ai-startups-must-compete-with-google-reply-to-fei-fei-li-35dda19c8a3f
The issue about automation taking jobs is business thinking has changed since 50/100 years ago when machines or ATMs were introduced. Companies actively look to automate and reduce headcount in a world of unregulated inflation and instability.
Thanks you for the thoughtful discussion. I'm working on medical discovery using machine learning. I hope I can help a billion people soon. Follow me for more
I like that youtube shows these interviews.
why am I watching this crap!
It may not be the best idea to democratize AI, maybe the controlled usage, but not the entire AI. Just imagine how dangerous it could be if everyone could have access to the full power of an AI.
I am a ML enthusiast but I think that there is huge lack of labeled data that prevent ML from being mainstream and within reach of every scientist
Shitty interviewer. Take yourself out and make your guest shine. Boo
Chinese girl had fallen so much from last 30 years. What a shame to see such tragic happen in today's time. Science without humanity is the worse.
why do i get the feeling that she is just advertising google cloud ? =,=
Love it!
I like how people think that AI will not crush the number of workplaces. I mean come on, banks may have increased the number of customer service staff, but that is probably because many more people use banks. In my country, one bank let go 3/4 of its staff due to automation. They were making profit before and now that profit is increasing.
Talked 20 min and didn't say anything!
The #1 issue is global warming.
The key to the future of AI + Solar, is the policy that requires Utilities, PG&E, to pay solar schools $0.49 kwh so schools can pay teachers a fair wage.
It does no good to drive an electric car, if the energy you are using is nuclear, gas, & oil used by Utilities to generate energy they put on the grid.
We must switch the grid to 100% solar, by adding 1000 solar panels onto each school,
the #1 solution is
plus building 4-plex homes each with 100 solar panels.
By paying solar schools & solar home owners $0.49 kwh.
Youtube; paul8kangas. Seek guidance to deliver the goods.
Look at "Go New Gen", to see the future of solar.
Hi Dr. Fei-Fei Li, OK here is my solution to the unemployment created by the disruption created by AI, robots, machines, etc. Lower the workweek to a 30 hour work week to give parents more time to care for their kids.
Home schooling is far better for kids than public schooling.
As a parent, I have been studying and writing about this issue for 50 years.
I am now studying how AI can connect solar energy and housing, to lower the cost of housing. I would like to see solar powered homes, where they sell energy to the grid, so the sun pays for the mortgage. It could happen. Youtube; paul8kangas
For real? Speaking of democratizing AI by using google's cloud? Giving all our data to google for free?
One of the best talk I have ever seen!!
Thank you
Probably the best interview I’ve watched this year
Google, because Feifei Li may have trouble? Many Chinese people say that she is already a CCP spy… Li Feifei seems to be a scourge, a dangerous person.
Li Feifei is A Chinese spy who steal google technology to help Chinese government to monitor Chinese people. She is a key role to make google leadship to make dragon fly project to filter cencership for CCP.
Let the women talk dammit
It is extremely irresponsible and close minded for her to suggest that every student become a professor and press them into this career.
Problems im seeking to solve are human evolution and the fermi paradox.
History repeats itself. Remember the Luddites. That's what will happen with autonomous tech if it gets too out of touch with democracy.