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Please excuse anything annoying.
I whipped up some simple syntax support for Mathematica / Wolfram Language in Microsoft’s VSCode. Grab it here: marketplace.visualstudio.com/items?itemName=flipphillips.wolfram-language.
Here’s a screencast of my talk at the Rochester Institute of Technology Symposium on VR/AR Technology.
It is from 3 December and a little low-key, so drink a little coffee before you start watching so you don’t fall asleep. Amazingly, the MAGIC Center had no lecture recording, so I’ve recreated it here with about 60% less energy because I was sitting down the whole time.
In 1970, Masahiro Mori posited the existence of an “uncanny valley” in the human perception and appreciation of robotics. This hypothesis suggests that, as robots become more ‘human like’ that our appreciation of them increases — right up to a crucial point where we find them too realistic but not perfectly so. At this point, human preference plummets into the aforementioned chasm. Despite the fact that much has been written about this phenomena, there is little scientific evidence of its existence. Obviously this phenomena isn’t limited to robotics and has been observed in many other areas. These include the fine arts, especially in photorealistic painting, sculpture, computer graphics, traditional animation, and more recently in the rotoscoping / motion capture used in contemporary filmmaking. The informal and heuristic practices of the fine arts, especially those of traditional animation have much to offer to our understanding of the appearance of reality. In this talk, we will examine some historical perspective of the UV as well as virtual and augmented reality-centric questions.
A new pub with some good friends on the impending doom of science funding and what to do about it. Authored well before the new administration was a gleam in our collective eyes.
Citation: Pawan Sinha, Peter Bex, Margaret Kjelgaard, Flip Phillips; Enhancing research with Plenary Labs. Sci Public Policy 2016 scw051. doi: 10.1093/scipol/scw051
The two most evident crises in the advanced research ecosystem in the USA are scarcity of funds and scarcity of jobs. We argue that both of these are outcomes of a flawed resource usage model and propose an alternative approach that can help alleviate these challenges. Named ‘Plenary Labs’, this approach is designed to act as a counterpoint to the traditional schema wherein each laboratory acts as a self-contained silo with a full complement of equipment and personnel to advance the principal investigator’s research program. This schema results in redundancy across labs, as well as an inflated need for research assistants. Plenary Labs ameliorate both of these issues by consolidating equipment and technical manpower. By democratizing access to cutting edge resources, reducing the time and costs involved in experimental research, and reducing the imbalance between supply and demand for jobs, Plenary Labs have the potential to significantly enhance research.
Free Access: Grab a delightful open access copy here.
For those of you looking for the course description of “Vision in Animals and Machines” that I failed to send to the Registrar, look no more!
This class will focus on ‘vision’ in its many forms — ranging from single-celled animals to complicated ‘artificial intelligence’ based computer vision systems. We will survey the biological and evolutionary processes that led to our human sense of sight as well as how both natural and artificial systems have influenced our understanding of ‘vision.’ We will explore computational models of human vision as well as current state-of-the-art deep learning techniques for image and scene identification. Ultimately we will settle once-and-for-all whether ‘vision’ as practiced by machines bears any resemblance at all to the behavior of ‘vision’ in natural systems.
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