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Community Night: Papers We Love NYC @QCon w/ Carmen, Sally and Matt

QCon

Wednesday, June 27, 2018 from 7:00 PM to 8:45 PM (EDT)

Community Night: Papers We Love NYC @QCon w/ Carmen,...

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Type End Quantity
Paper’s We Love @QCon Ended Free  

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Event Details

QCon New York (June 25th - 29th 2018) is a conference for senior software engineers and architects on the patterns, practices, and use cases leveraged by the world’s most innovative software shops. 

This June we're working with QCon New York to bring you 20-minute talks on 3 different papers! We're very lucky to be able and host Carmen Andoh, Golestan "Sally" Radwan and Matt Adereth.

Note: There will be no free food or drinks at this event, please grab something beforehand or afterward.

Papers

We characterize three notions of explainable AI that cut across research fields: opaque systems that offer no insight into its algorithmic mechanisms; interpretable systems where users can mathematically analyze its algorithmic mechanisms; and comprehensible systems that emit symbols enabling user-driven explanations of how a conclusion is reached. The paper is motivated by a corpus analysis of NIPS, ACL, COGSCI, and ICCV/ECCV paper titles showing differences in how work on explainable AI is positioned in various fields. We close by introducing a fourth notion: truly explainable systems, where automated reasoning is central to output crafted explanations without requiring human post-processing as final step of the generative process.

This paper suggests that input and output are basic primitives of programming and that parallel composition of communicating sequential processes is a fundamental program structuring method. When combined with a development of Dijkstra's guarded command, these concepts are surprisingly versatile. Their use is illustrated by sample solutions of a variety of familiar programming exercises.

Recognition and extraction of features in a nonparametric density estimate is highly dependent on correct calibration. The data-driven choice of bandwidth h in kernel density estimation is a di cult one, compounded by the fact that the globally optimal h is not generally optimal for all values of x. In recognition of this fact, a new type of graphical tool, the mode tree, is proposed. The basic mode tree plot relates the locations of modes in density estimates with the bandwidths of those estimates. Additional information can be included on the plot indicating such factors as the size of modes, how modes split, and the locations of antimodes and bumps. The use of a mode tree in adaptive multimodality investigations is proposed, and an example is given to show the value in using a Normal kernel, as opposed to the biweight or other kernels, in such investigations. Examples of such investigations are provided for Ahrens' chondrite data and van Winkle's Hidalgo stamp data. Finally, the bivariate mode tree is introduced, together with an example using Scott's lipid data.

Bios

  • Golestan "Sally" Radwan (@smarthelix) is a Computer and Biomedical Engineer. Until recently, she led the AI product portfolio at London-based health tech startup Babylon health, leading a team of doctors, engineers, AI scientists, and designers to create an intelligent mobile platform for medical diagnosis, predictive health, and chronic disease management. Prior to Babylon, Sally spent over 10 years in the technology industry in Germany, the UK, and the USA, where she held various positions in engineering management, strategic planning and product management for the likes of Canonical/Ubuntu, Avaya Inc and NTT Data. Sally holds a BSc in Computer Engineering from Cairo University, an MBA from London Business School, and an MSc in Clinical Engineering and Healthcare Technology Management from the University of London, where she is currently finishing her PhD in AI and Computational Biology. She is also working on launching her own AI startup, which is currently in stealth mode.
  • Carmen Andoh (@carmatrocity) is a software engineer on the Build Infrastructure team at Travis CI. She was the first scholarship recipient for Gophercon in 2015, where she was first introduced to Go, and hasn't looked back. Ask her about her past lives as a Behavioral Analyst for Autism Spectrum Disorders, Teach for America, and having personally visited over 1000 high schools in the states of NJ, TX, NM, and CO, and all 5 boroughs of NYC.

  • Matt Adereth is a Managing Director at Two Sigma Investments, where he works on tools, infrastructure and methodologies for quantitative financial research. He previously worked at Microsoft on Office, focusing on data connectivity and visualization features. In his spare time, he designs open-source ergonomic keyboards using Clojure.

Sponsors:

  • QCon NY - Co-host and Sponsor for this event.
  • TwoSigma (https://www.twosigma.com/) - Platinum Sponsor of the New York chapter 

PS: If you want to join the full 3-day conference you can register using the code PapersWeLoveNY18 to get a $100 discount. More details on QCon NYC here: https://goo.gl/ho98Sq

 

Papers We Love is a nonprofit organization that is bringing academic and non-academic research in computer-science, computer-science-education, electrical engineering, and what's in-between to everyone via online-discussion, meetups, and events. We've hosted presentations on subjects ranging from distributed-systems and consensus-algorithms to propositions as types, lock-free algorithms, garbage collection, rendering and graphics, node traversal, and even the Anarchist Theory of Knowledge. More information about the NYC chapter of Papers We Love can be found at https://paperswelove.org/chapter/newyork/. Videos are available on our YouTube channel: https://www.youtube.com/paperswelove.

Have questions about Community Night: Papers We Love NYC @QCon w/ Carmen, Sally and Matt? Contact QCon

When & Where


New York Marriott Marquis

New York, NY 10036

Wednesday, June 27, 2018 from 7:00 PM to 8:45 PM (EDT)


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Organizer

QCon

QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

QCon highlights the most important development topics driving innovation - things you should be doing now or researching for your next project - presented by the doers in our community. Our conferences bring practitioners together with attendees who influence innovation in their teams: over half of conferences attendees, for example, have team lead or higher job titles. Additionally, QCons are staged in an intimate environment that promotes high-quality learning, peer-sharing, fun, and inspiration!

Since the launch of QCon in 2007, our events have been attended by over 12,000 innovators like you. Currently there are seven QCon conferences held in the following cities: London, New York, San Francisco, Beijing, Shanghai & Sao Paulo.

More details: http://www.qconferences.com/

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