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<!doctype html>
<head>
<title>BUMIC</title>
<meta charset="UTF-8" />
<meta name="description" content="Boston University Machine Intelligence Community (BUMIC) is a space for sharing and discussing machine learning research, articles, ideas, and current events. We are also officially a student-led research group sponsored by the Boston University Computer Science Department, BU Spark, and BU Software and Application Innovation Lab (SAIL)."
/>
<meta name="keywords" content="machine intelligence, machine learning, ai, artificial, intelligence, deep learning, neural, network, join, us, bumic, boston, university"
/>
<meta name="author" content="Duy Nguyen, Justin Chen" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<link rel="stylesheet" href="style/normalize.css" />
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/4.0.0-beta/css/bootstrap.min.css" integrity="sha384-/Y6pD6FV/Vv2HJnA6t+vslU6fwYXjCFtcEpHbNJ0lyAFsXTsjBbfaDjzALeQsN6M"
crossorigin="anonymous">
<link rel="stylesheet" href="style/style.css" />
<link rel="stylesheet" href="style/members.css" />
<link rel="stylesheet" href="style/main.css" />
<link rel="icon" type="image/png" href="image/logo/bumic-favicon-transp-64.png" />
<link rel="shortcut icon" type="image/png" href="image/logo/bumic-favicon-transp-64.png" />
<script>
window.location.replace("http://www.bumic.ml");
</script>
<script src="https://code.jquery.com/jquery-3.2.1.min.js" integrity="sha256-hwg4gsxgFZhOsEEamdOYGBf13FyQuiTwlAQgxVSNgt4="
crossorigin="anonymous"></script>
<link rel="stylesheet" href="style/members.css">
</head>
<body>
<header class="container-fluid">
<div class="wrapper" id="navbar" style="padding-bottom: 0px;">
<div id="logo-section" class="col-md-2">
<div id="logo-image">
<a href="#">
<img src="image/logo/MIC [email protected]">
</a>
</div>
</div>
<div id="menu-section" class="col-md-8">
<ul class="nav navigation" id="menu">
<li class="nav-item">
<a href="#about">ABOUT</a>
</li>
<li class="nav-item">
<a href="#news">EVENTS</a>
</li>
<li class="nav-item">
<a href="#members">MEMBERS</a>
</li>
<li class="nav-item">
<a href="#research">RESEARCH</a>
</li>
<li class="nav-item">
<a href="#teams">ADVISORS</a>
</li>
<li class="nav-item">
<a href="#sponsors">SPONSORS</a>
</li>
</ul>
</div>
<div id="social-section" class="col-md-2">
<div id="fb-icon">
<a href="https://www.facebook.com/groups/1017831178363028/?ref=bookmarks">
<img src="image/icons/fb.png">
</a>
</div>
<div id="github-icon">
<a href="https://github.com/bumic">
<img src="image/icons/github.png">
</a>
</div>
<div id="mail-icon">
<a href="mailto:[email protected]">
<img src="image/icons/mail.png">
</a>
</div>
<div id="medium-icon">
<a href="https://medium.com/@bumic_">
<img src="image/icons/medium.png">
</a>
</div>
<div id="twitter-icon">
<a href="https://twitter.com/@bumic_">
<img src="image/icons/twitter.png">
</a>
</div>
</div>
</div>
</header>
<div id="content">
<!-- Home section -->
<div id="home">
<div id="logo-wrapper">
<img id="logo" src="image/logo/micv2-591x255.png">
</div>
</div>
<!-- About section -->
<div id="about" class="content-section">
<h1 align="center">
ABOUT
</h1>
<div class="article">
<p>Boston University Machine Intelligence Community is an organization focused on providing opportunities for
undergraduate and graduate students to learn about machine intelligence in a community environment. As
a brief history, MIC was founded as a research paper discussion group at MIT in 2016 after being inspired
by the AlphaGo versus Lee Sedol match, and was brought to BU in April 2017.</p>
<p>
We are a student-led research group sponsored by Boston University's Rafik B. Hariri Institute for Computing and Computational Science and Engineering, BU Software Application and Innovation Lab (SAIL), and BU Spark.
</p>
</div>
</div>
<div id="about-pic" class="parallax-section"></div>
<!-- Events section -->
<div id="news" class="content-section">
<h1 align="center">
Events
</h1>
<div class="row-calendar">
<div id="post-area" class="col span_9 col_last">
<div id="fws_5b8d8dd841b1f" data-midnight="dark" data-bg-mobile-hidden="" class="wpb_row vc_row-fluid vc_row standard_section " style="padding-top: 0px; padding-bottom: 0px; ">
<div class="row-bg-wrap">
<div class="row-bg " style="" data-color_overlay="" data-color_overlay_2="" data-gradient_direction="" data-overlay_strength="0.3" data-enable_gradient="false">
</div>
</div>
<div class="col span_12 dark left">
<div class="vc_col-sm-12 wpb_column column_container col no-extra-padding instance-0" data-bg-cover="" data-padding-pos="all" data-has-bg-color="false" data-bg-color="" data-bg-opacity="1" data-hover-bg="" data-hover-bg-opacity="1" data-animation="" data-delay="0">
<div class="wpb_wrapper">
<div class="wpb_text_column wpb_content_element ">
<div class="wpb_wrapper">
<iframe src="https://calendar.google.com/calendar/embed?src=bumic%40bu.edu&ctz=America/New_York" style="border: 0px; opacity: 1; visibility: visible;" width="907" height="600" frameborder="0" scrolling="no">
</iframe>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div id="news-pic" class="parallax-section"></div>
<!-- Members section -->
<div id="members" class="content-section">
<h1 style="text-align: center;">Executive Board Members</h1>
<div class="members">
<div v-for="m in ms" class="member-card flip-container">
<div class="flipper">
<div class="front">
<img v-bind:src="m.pic" class="card-img-top" />
<div class="member-name">
<h5>{{m.name}}</h5>
<h6>
<em>{{m.title}}</em>
</h6>
</div>
</div>
<div class="back">
<div class="content">
<p class="bio"><b>{{m.year}}</b></p>
<p class="bio">{{m.bio}}</p>
<p class="bio">
<b>Fun fact:</b> {{m.funFact}}</p>
<p class="bio">
<b>Website:</b>
<a v-bind:href="m.link">{{m.link}}</a>
</p>
</div>
</div>
</div>
</div>
</div>
</div>
<div id="members-pic" class="parallax-section"></div>
<!-- Researches section -->
<div id="research" class="content-section">
<h1 align="center">
RESEARCH
</h1>
<div class="row">
<div class="col-lg-6 col-md-6 col-sm-12">
<h4>Conditioning Deep Generative Raw Audio Models for Structured Automatic Music</h4>
<em><a>Rachel Manzelli</a>, 2017</em>
<p class="research-desc">
Existing automatic music generation approaches that feature deep learning can be broadly classified into
two types: raw audio models and symbolic models. Symbolic models, which train and generate at the
note level, are currently the more prevalent approach; these models can capture long term dependencies
of melodic structure, but fail to grasp the nuances and richness of raw audio generations. Raw audio
models, such as DeepMind's WaveNet, train directly on sampled audio waveforms, allowing them to produce
realistic-sounding, albeit unstructured music. We propose an automatic music generation methodology
combining both of these approaches to create structured, realistic-sounding compositions. We consider
a Long Short Term Memory network to learn the melodic structure of different styles of music, and
then use the unique symbolic generations from this model as a conditioning input to a WaveNet-based
raw audio generator, creating a model for automatic, novel music.</p>
</div>
<div class="col-lg-6 col-md-6 col-sm-12">
<h4>Hypergraph Distributed Stochastic Gradient Descent</h4>
<em><a>Justin Chen</a>, 2018</em>
<p class="research-desc">
To enable training of deep models on large datasets, learning algorithms must be distributed. Although current state-of-the-art can train on ImageNet in minutes, we push distributed gradient-based optimization
to the extemes. We introduce a novel distributed hybrid, globally-asynchronous, locally-synchronous
non-convex optimization algorithm for large-scale training. Nodes in the computation, which we refer
to as peers, stochastically and independently organize into cliques that each compute a synchronous
gradient step across different points in parameter space. The resultant communication topology forms
a hypergraph over all peers. We call our algorithm Hypergraph Distributed Stochastic Gradient Descent.
Additionally, we developed a minimalist distributed gradient-based learning framework, <span style="font-style:italic">Simultaneous
Multi-Party Learning</span> (SMPL), pronounced <span style="font-size:0.875em">[sim-puh l]</span>.</p>
</div>
</div>
</div>
<div id="research-pic" class="parallax-section"></div>
<!-- Teams section -->
<div id="teams" class="content-section">
<h1 align="center">
ADVISORS
</h1>
<div class="row">
<div class="col-lg-6 col-md-6 col-sm-12">
<img style="float:left" class="advisor-avatar" src="image/advisors/kate.jpg" />
<div class="advisor-bio">
<h4>
<a href="http://ai.bu.edu/">Kate Saenko</a>
</h4>
<p>
My research interests are in the broad area of Artificial Intelligence with a focus on Adaptive
Machine Learning, Learning for Vision and Language Understanding, and Deep Learning. I am
also part of the Artificial Intelligence Research initiative at BU, formed in the fall of
2017 with the goal of promoting AI research and education in the BU community.
</p>
</div>
</div>
</div>
</div>
<div id="team-pic" class="parallax-section"></div>
<!-- Sponsor section -->
<div id="sponsors" class="content_section">
<h1 align="center">
SPONSORS
</h1>
<div class="logo-stack">
<div>
<a href="https://www.bu.edu/cs/">
<img class="logo" src="image/logo/bu_cs_logo.jpg" />
</a>
<a href="http://www.bu.edu/spark/">
<img class="logo" src="image/logo/spark.png" />
</a>
<a href="https://sail.bu.edu/">
<img class="logo" src="image/logo/sail.png" />
</a>
</div>
</div>
</div>
<!-- Footer -->
<div id="footer" class="row">
<div class="col-lg-8 col-md-8 col-sm-12">
Boston University | 111 Cummington Mall, Boston MA 02215
</div>
</div>
</div>
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