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Elon Musk is all about keeping the human race alive, even if that means abandoning Earth at some point.
MIT recently wrapped up its Aeronautics and Astronautics Department's 2014 Centennial Symposium. His warning was direct and to the point, with Musk saying, "I think we should be very careful about artificial intelligence.
Musk isn't the only one who sees the dangers of a future filled with artificial intelligence.
A highly advanced robotic boy longs to become "real" so that he can regain the love of his human mother.
A pioneer in the exploding field of artificial intelligence, LeCun co-developed an early version of the back-propagation algorithm, the most popular method for training artificial neural networks. LeCun will remain at the NYU Center for Data Science and at the Courant Institute, continuing his research and teaching, on a part-time basis. Facebook wanted some advice for how to get into deep learning, so they called me and Yoshua Bengio. Then I had a chat with Mark Zuckerberg over the phone about the fact that he wanted to create a research lab.
It made perfect sense, particularly because it would be a partnership between NYU and Facebook, and they would be right next door ? 770 Broadway, just up the street. There is a huge pool of talent around New York to work on the problems Facebook is interested in. More importantly, there is a pool of people here who have experience with industry research from which we can recruit. I am going to step down from being the director of the Center for Data Science, now that Raghu Varadhan has been appointed interim director. A big part of what Facebook and Google are trying to do is figure out what is interesting to people.
Do you think artificial intelligence will ever equal human intelligence, including emotions? Things like love are related to chemical compounds, like oxytocin, that govern how you attach to people. Most of the machines we build now are not intelligent in the sense that they have no notion of pain or reward, but can recognize, say, a car or a boat in a picture. Using reinforcement learning, computers have been able to train themselves to play games such as backgammon and simple video games as well as humans.
LocationThe Center for Data Science is located on the Washington Square campus in the heart of Greenwich Village.
Artificial Intelligence (AI) is the science and engineering of producing intelligent agents that can behave rationally. Students will complete 5-6 homework assignments, 2 midterm exams, and a final exam as part of the course.
This course is targeted toward computer science majors in their junior or senior year of study. The professor reserves to right to make changes to the syllabus, including project due dates and test dates.

He went into details about this not long ago when discussing Mars colonies and things of an existential nature.
Elon Musk participated in a one-on-one session during this event, talking about artificial intelligence and issuing warnings about how we must approach the technology to help ensure nothing goes sour. Cries have been made for regulations to be established -- both on the national and international levels -- and the UN, as an example, held a meeting about intelligent "killer robots" earlier this year. This new laboratory will support AI research teams in New York City, London and Facebook’s Menlo Park, CA headquarters. While at AT&T Bell Laboratories, he developed the convolutional network model, whose architecture is somewhat inspired by the visual cortex of animals and humans to create a pattern recognition system for machines. He will step down from his position as director of the Center for Data Science; Raghu Varadhan has been appointed interim director.
I’ll be able to do academic-style research here at Courant, and at the same time, lead research projects that are better done in an industry environment. We have the Center for Data Science here at NYU, the Center for Urban Science and Progress (CUSP), the Institute for Data Sciences and Engineering at Columbia, the Simons Center for Data Analysis, Cornell’s new tech campus…there is a lot of things happening around machine learning and data science in and around New York.
There are people ? students, faculty, postdocs ? who before were kind of hesitant to consider NYU, for various reasons. We have in our brains hardwired circuits to tell us when to feel pleasure and pain and hunger and things like this.
Those are mechanisms that are established by evolution to essentially preserve our species so that we don’t kill each other all the time, hopefully. It becomes more complicated when the machine needs to train itself?for instance, whether bumping into a chair is a good thing or not. Using similar techniques, they can also be trained to choose which story to show you on your Facebook newsfeed. Algorithms (COMP 550), basic calculus, and working familiarity with probability are also highly desired. Any number of technologies could prove a threat to that survival, with artificial intelligence being counted among them, necessitating plans to prevent possible bad outcomes.
Yann recently sat down with reporter ML Ball to discuss Facebook, artificial intelligence and the evolutionary usefulness of love. They asked me if I was interested in joining Facebook, and I said, “I’m very happy at NYU and I see myself as an academic in the long-term.
It was pretty clear that what he wanted to do was start an advanced research lab with very, very ambitious goals. I was a department head at AT&T Labs-Research, so I have quite a bit of experience with managing research organizations in industry. Plus, there a lot of people coming from Europe who will move to New York but won’t move to California. There is now a bit of a snowball effect in New York with all the initiatives in data science: CDS, the Simons Center and Columbia, as well as Princeton and other universities in the area starting similar programs to CDS. There has been wave after wave of optimism in AI, where people have discovered what they thought was a solution, only to realize they were driving in the fog and there was a big brick wall further down the road. To know what is likely to interest you, Facebook needs to give you a “digital best friend” that can understand what your aspirations, interests and desires are…an intelligent entity that can be your main point of contact to the digital world, in the sense that you can hide yourself behind it, and it can protect you.

It drives us to do things that keep us alive as individuals and as a species, things that our conscious mind has little control over. You have to have some built-in mechanism to tell a robot that when it bumps into something, or when it hurts people, it’s not good. And the mission is to make progress towards AI and produce more intelligent machines that can actually help people. This course provides an introduction to a broad range of techniques and applications of modern AI, from combinatorial search to probabilistic models and reasoning.
Natural Language Processing, Machine Learning or Computer Vision are encouraged to sign up. Google reportedly formed an ethics board after acquiring AI startup DeepMind, for example, but things like that might not be enough to keep the technology from spiraling out of control.
In all those stories where there’s the guy with the pentagram and the holy water, it’s like yeah he’s sure he can control the demon. And there is a very active startup scene: Silicon Alley, big industry and telecom industries in the area, pushing data science and AI. Right now, we are in a period of elation where we think we have a new angle on image recognition and speech recognition, because of deep learning. Also, there are other things built in that give us a sense of relationship with other people?empathy, for instance.
And that will come with emotions, because they will have to predict somehow whether something they might do is going to help them achieve their goal or not. The course will also provide an introduction to some sub-areas of AI, including natural language understanding, robotics, and computer vision. I’m probably going to change the focus of the research in my lab to focus more on research and principles, and less on applications. Plus, all the big web companies have research labs here: Facebook, Google, Microsoft and Yahoo. Those two things cannot be separated, in the sense that we have to understand the principle underlying intelligence for both. If nothing else, there will be a lot of useful short-term and medium-term applications of deep learning that are going to come out.
Solving one will help solve the other, in the same way our understanding of aerodynamics was driven by building airplanes, but was inspired by bird flight.
And that is to a large extent what the web companies like Facebook and Google are interested in. There is a branch of machine learning called “reinforcement learning” that deals with these issues. But beyond that, they want to build really intelligent machines for the purpose of helping their users.

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