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							<h2>Engineer the Future of AI</h2>
							<p>With tracks in Machine Learning & Deep Learning <br />
							Gain skills to integrate AI into web applications, gaming, and robotics.</p>
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										<h2>An Evolving Ecosystem</h2>
										<p>Stay ahead of the market demand in Computer Science</p>
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									<p>Computer Science is the fastest growing market in the US and the only industry which still allows for job security. The demand for engineers is increasing exponentially and we can only fill about 30% of those roles with US CS grads. The onset of advanced technology in Artificial Intelligence allows for the replacement of 1000s of people in every industry from law to administration to healthcare, resulting in a major increase in unemployment by 2020.</p>
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									<p>“Deep learning is no longer just a field. It’s no longer just an app. And it’s no longer just an algorithm. It’s way bigger than any of that, and this is one reason we have been going all in with deep learning. Every year we do more. We think this is going to utterly change computing—it’s a brand new computing model.” -<a href="http://www.nextplatform.com/2016/04/05/nvidia-ceo-emergence-new-computing-model/">NVIDIA CEO</a></p>
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							<h2>AI is a direct reflection of those engineering it</h2>
							<p>Including any implicit bias for race, gender, or sexual orientation.</p>
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						<p>AI may already be exacerbating inequality in the workplace, at home and in our legal and judicial systems. Sexism, racism and other forms of discrimination are being built into the machine-learning algorithms that underlie the technology behind many “intelligent” systems that shape how we are categorized and advertised to.</p>
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							<h2>“The future of AI is in the hands of those who make AI”.</h2>
							<p>-<NAME>, Associate Professor of Computer Science at Stanford</p>
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							<p>Currently the only people with enough technological training to use tools that have been created to train and integrate AI are Masters and PhD graduates from Ivy League Universities, or the very rare self educated engineer that has spent countless hours researching and learning on their own without any real guidance or mentoring.</p>
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							<h2>Engineer the Future of AI</h2>
							<p>With tracks in Machine Learning & Deep Learning <br />
							Gain skills to integrate AI into web applications, gaming, and robotics.</p>
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										<h2>An Evolving Ecosystem</h2>
										<p>Stay ahead of the market demand in Computer Science</p>
									</header>
								</div>
								<div class="4u 12u$(medium)">
									<p>Computer Science is the fastest growing market in the US and the only industry which still allows for job security. The demand for engineers is increasing exponentially and we can only fill about 30% of those roles with US CS grads. The onset of advanced technology in Artificial Intelligence allows for the replacement of 1000s of people in every industry from law to administration to healthcare, resulting in a major increase in unemployment by 2020.</p>
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								<div class="4u$ 12u$(medium)">
									<p>“Deep learning is no longer just a field. It’s no longer just an app. And it’s no longer just an algorithm. It’s way bigger than any of that, and this is one reason we have been going all in with deep learning. Every year we do more. We think this is going to utterly change computing—it’s a brand new computing model.” -<a href="http://www.nextplatform.com/2016/04/05/nvidia-ceo-emergence-new-computing-model/">NVIDIA CEO</a></p>
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							<h2>“The future of AI is in the hands of those who make AI”.</h2>
							<p>-<NAME>, Associate Professor of Computer Science at Stanford</p>
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							<p>Currently the only people with enough technological training to use tools that have been created to train and integrate AI are Masters and PhD graduates from Ivy League Universities, or the very rare self educated engineer that has spent countless hours researching and learning on their own without any real guidance or mentoring.</p>
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							<h2>AI is a direct reflection of those engineering it</h2>
							<p>Including any implicit bias for race, gender, or sexual orientation.</p>
						</header>
						<p>AI may already be exacerbating inequality in the workplace, at home and in our legal and judicial systems. Sexism, racism and other forms of discrimination are being built into the machine-learning algorithms that underlie the technology behind many “intelligent” systems that shape how we are categorized and advertised to.</p>
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