Filtering by
- All Subjects: artificial intelligence
- All Subjects: deep learning
- Creators: Computer Science and Engineering Program
- Member of: Theses and Dissertations
This podcast considers the history of online courses in higher education and research into them, focusing on how well they serve a diverse student population. It considers how online learning developed, and how studies into the practices and effectiveness of online courses find inequality in academic outcomes and access. The podcast explores how research approaches bring to light these inequalities or fail to consider them. The future of online learning is also considered.
Robots are often used in long-duration scenarios, such as on the surface of Mars,where they may need to adapt to environmental changes. Typically, robots have been built specifically for single tasks, such as moving boxes in a warehouse or surveying construction sites. However, there is a modern trend away from human hand-engineering and toward robot learning. To this end, the ideal robot is not engineered,but automatically designed for a specific task. This thesis focuses on robots which learn path-planning algorithms for specific environments. Learning is accomplished via genetic programming. Path-planners are represented as Python code, which is optimized via Pareto evolution. These planners are encouraged to explore curiously and efficiently. This research asks the questions: “How can robots exhibit life-long learning where they adapt to changing environments in a robust way?”, and “How can robots learn to be curious?”.
![147926-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-07/147926-Thumbnail%20Image.png?versionId=l8gsKv1PPB3OYpsoe09diwyUIJTmSN6R&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240615/us-west-2/s3/aws4_request&X-Amz-Date=20240615T094323Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=d1e9d35f4fe13bf9bf4bd756d28f703f23a73597518f3948176b6f145c8c6057&itok=UGfkgyG8)
This paper is centered on the use of generative adversarial networks (GANs) to convert or generate RGB images from grayscale ones. The primary goal is to create sensible and colorful versions of a set of grayscale images by training a discriminator to recognize failed or generated images and training a generator to attempt to satisfy the discriminator. The network design is described in further detail below; however there are several potential issues that arise including the averaging of a color for certain images such that small details in an image are not assigned unique colors leading to a neutral blend. We attempt to mitigate this issue as much as possible.
![152428-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-09/152428-Thumbnail%20Image.png?versionId=guNp0JkBwEbbruEiAfM7MQSkBQW5OZGF&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240615/us-west-2/s3/aws4_request&X-Amz-Date=20240615T141450Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=d33b71f21cf8a9081d25ba6044b608ad9c485b97fd931eb5cd8cd6618f78c3e5&itok=5o1spBwK)
![136202-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-05/136202-Thumbnail%20Image.png?versionId=PZcB72d2_0.AFigEdZEJFaUlhAfaJ03O&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240612/us-west-2/s3/aws4_request&X-Amz-Date=20240612T085951Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=9405fd43f00d1395fce3b0e202d3557cf03991f7d25f416a05b931de94b8c9dc&itok=u6UA5KLQ)
![135660-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-05/135660-Thumbnail%20Image.png?versionId=Wk20w1aDKO0IT41XRP.JH1NzrP_hzmAG&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240613/us-west-2/s3/aws4_request&X-Amz-Date=20240613T185428Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=92f2961940af3967811d2ac20fbc11ea7d0e4fd6961af64f4da303c8f77e6586&itok=y3szM9AZ)
![135758-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-05/135758-Thumbnail%20Image.png?versionId=m6hhqvtqZnRbVaRPMs4its6fq1gAiLAN&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240612/us-west-2/s3/aws4_request&X-Amz-Date=20240612T083702Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=82133133b670b155af4e44bb80d4088265a7ab38b3288824ca68e6bc74027568&itok=BOaHtyww)
![135955-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-05/135955-Thumbnail%20Image.png?versionId=3euM8CuC1vxMX5UZq5k1tpPleODGzEpX&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240613/us-west-2/s3/aws4_request&X-Amz-Date=20240613T052713Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=09b835a986857fad7b736b5ed03a325e1b4ab7f9a93d8aae76a0c55385a2f2d7&itok=8FUuRq5r)
This podcast discusses three nonconformists from throughout history and analyzes what made them successful, as well as how we can apply lessons learned from them to our own lives.
![147712-Thumbnail Image.png](https://d1rbsgppyrdqq4.cloudfront.net/s3fs-public/styles/width_400/public/2021-07/147712-Thumbnail%20Image.png?versionId=FP9jN0rW5AJySwf49IE_xuZpzIYlj0iw&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=AKIASBVQ3ZQ42ZLA5CUJ/20240613/us-west-2/s3/aws4_request&X-Amz-Date=20240613T112706Z&X-Amz-SignedHeaders=host&X-Amz-Expires=120&X-Amz-Signature=b953632e9d2df33c7f9b28a6f330886d334d679ba0af666f0cce6f006bd64422&itok=JuFRfOnF)
Health and Wealthness is a podcast where your hosts, Emily Weigel and Hanaa Khan discuss pressing and trending topics about health and wealth that everyone should know about. Our first four episodes focus on the opioid crisis. Both the science and healthcare sides. We then go on to talk about burnout and mental health in a conversational episode.