FPGAs as Streaming MIMD Machines for Data Analy9cs James Thomas, Matei Zaharia, Pat Hanrahan CPU/GPU Control Flow Divergence

Source URL: platformlab.stanford.edu

• Computing
• Computer memory
• Hardware acceleration
• Central processing unit
• Parallel computing
• Computer hardware
• Dynamic random-access memory
• Computer architecture
• Field-programmable gate array

Filtering Out the Bots: What Americans Actually Told the FCC about Net Neutrality Repeal A state-by-state, district-by-district look at linguistically unique comments filed to the FCC in the 2017 repeal proceedings

Source URL: cyberlaw.stanford.edu

• Net neutrality
• Government
• Federal Communications Commission
• Mass media
• FCC Open Internet Order
• Internet service provider
• Law
• Notice of proposed rulemaking
• Net neutrality in the United States
• Net neutrality by country

Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health Tim Althoff∗, Kevin Clark∗, Jure Leskovec Stanford University {althoff, kevclark, jure}@cs.stanford.edu

Source URL: www.timalthoff.com

• Conversation
• Oral communication
• Psychotherapy
• Crisis intervention
• Human behavior
• School counselor

Scaling Neural Network Acceleration using Coarse-Grained Parallelism Mingyu Gao, Xuan Yang, Jing Pu, Mark Horowitz, Christos Kozyrakis Stanford University

Source URL: platformlab.stanford.edu

• Software engineering
• Computer programming
• Computing
• Programming language comparisons
• Parallel computing
• Computational neuroscience
• Artificial neural networks
• Map
• Foreach loop
• Long short-term memory
• Automatic parallelization

Loyalty in Online Communities William L. Hamilton∗ † , Justine Zhang∗ ‡ , Cristian Danescu-Niculescu-Mizil‡ , Dan Jurafsky† , Jure Leskovec† † Stanford University, ‡ Cornell University

Source URL: stanford.edu

• Digital media
• World Wide Web
• Collaboration
• Community building
• Social information processing
• Virtual reality
• Crowdsourcing
• Reddit
• Online community
• Social networking service
• Customer engagement
• Social media

This Talk § 1) Node embeddings § Map nodes to low-dimensional embeddings. § 2) Graph neural networks

Source URL: snap.stanford.edu

• Artificial neural networks
• Machine learning
• Applied mathematics
• Mathematics
• Artificial intelligence
• Topological graph theory
• Market research
• Feature learning
• Deep learning
• Graph embedding
• Word embedding

RobinHood: Tail Latency-Aware Caching Dynamically Reallocating from Cache-Rich to Cache-Poor Daniel S. Berger (CMU) Joint work with: Benjamin Berg (CMU), Timothy Zhu (PennState), Siddhartha Sen (Microsoft Research), Mor

Source URL: platformlab.stanford.edu

• Cache
• Computer architecture
• Latency

A Case Study on the Success of Altruistic Requests Tim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky Stanford University & Max Planck Institute SWS What makes a request successful?

Source URL: www.timalthoff.com

• Psychology
• Behavioural sciences
• Behavior
• Human behavior
• Normative ethics
• Interpersonal relationships
• Community building
• Positive psychology
• Reciprocity
• Gratitude
• Social psychology

STANFORD CHILDREN’S HEALTH NOTICE INFORMING INDIVIDUALS ABOUT NONDISCRIMINATION AND ACCESSIBILITY REQUIREMENTS AND NONDISCRIMINATION STATEMENT Effective Date: October 17, 2016 DISCRIMINATION IS AGAINST THE LAW

Source URL: www.stanfordchildrens.org

Malicious Behavior on the Web: Characterization and Detection Srijan Kumar (@srijankr) Justin Cheng (@jcccf) Jure Leskovec (@jure) Slides are available at http://snap.stanford.edu/www2017tutorial/

Source URL: snap.stanford.edu

• Digital media
• Economy
• Social networks
• New media
• Human behavior
• Business intelligence
• Communication
• Social media
• Web 2.0
• Analytics