7:00 – 10:00 ASRC PhD. Fun, long day.
- Understanding BERT Transformer: Attention isn’t all you need
- Word Vectors and NLP Modeling from BoW to BERT
- Since the advent of word2vec, neural word embeddings have become a go to method for encapsulating distributional semantics in text applications. This series will review the strengths and weaknesses of using pre-trained word embeddings and demonstrate how to incorporate more complex semantic representation schemes such as Semantic Role Labeling, Abstract Meaning Representation and Semantic Dependency Parsing into your applications.
- Artificial Intelligence and Global Security Initiative Research Agenda
- The Center for a New American Security’s Artificial Intelligence and Global Security Initiative explores these and other issues surrounding the AI revolution. Current AI technology is powerful, but also has a number of vulnerabilities, including susceptibility to spoofing (false data) and control problems. An arms race in AI where nations and other actors rush to use this technology for their advantage without any concern for safety would be harmful to everyone. It is vitally important for the technology and policy communities to come together to better understand the implications of the AI revolution for global security and how best to navigate the challenges ahead.
- One more pass through Antonio’s paper this evening – done
- Working on getting the Slack chats into the database. It turns out that there can be threaded discussions within channels: `thread_ts`, `reply_count`, `reply_users_count`, `latest_reply`, `reply_users`, `replies` are the variables. It’s not critical now, but it would be nice to read these in as well.
- Added encoding=”utf8″ to the read statements
- We are over 10,000 rows!
- And it looks like the Google Keras team is going to run the dungeon
- Starting on SequenceAnalyzer. Not bat progress for a day
- Meeting with Wayne
“Slaying Monsters for Science”
A few from that infamous conference…
and the role of immersive play in rethinking modern religious expression….
The first group is through the test dungeon! Sooooooooooooooooooo much good data! Here’s a taste.
“Huffing a small breath out she did her best to figure out if the beings they were seeing matched up to the outlines they’d seen in the mist previously and if anything about the pair seemed off or odd. She does the same for the dragon though less familiar with the beasts than normal humans, it’s deal… seemed like too easy of a solution and it seemed highly unlikely that it was going to just let them run off with part of its hoard – which in her mind meant it was likely some sort of trick. Figuring out what the trick of it all was currently was her main focus.”
Continuing on my into to TkInter, which is looking a lot like FLTK from my C++ GUI days. I am not complaining. FLTK was awesome.
Let the House Subcommittee investigations begin! Also, better redistricting?
7:00 – 5:00 ASRC PhD/BD
- Rather than Deep Learning with Keras, I’m starting on Grokking Deep Learning. I need better grounding
- After lunch, send follow-up emails to the technical POCs. This will be the basis for the white paper: Tentative findings/implications for design. Modify it on the blog page first and then use to create the LaTex doc. Make that one project, with different mains that share overlapping content.
- Characterizing Online Public Discussions through Patterns of Participant Interactions
- Public discussions on social media platforms are an intrinsic part of online information consumption. Characterizing the diverse range of discussions that can arise is crucial for these platforms, as they may seek to organize and curate them. This paper introduces a computational framework to characterize public discussions, relying on a representation that captures a broad set of social patterns which emerge from the interactions between interlocutors, comments and audience reactions. We apply our framework to study public discussions on Facebook at two complementary scales. First, we use it to predict the eventual trajectory of individual discussions, anticipating future antisocial actions (such as participants blocking each other) and forecasting a discussion’s growth. Second, we systematically analyze the variation of discussions across thousands of Facebook sub-communities, revealing subtle differences (and unexpected similarities) in how people interact when discussing online content. We further show that this variation is driven more by participant tendencies than by the content triggering these discussions.
- More latent space flocking from Innovation Hub
- You Share Everything With Your Bestie. Even Brain Waves.
Scientists have found that the brains of close friends respond in remarkably similar ways as they view a series of short videos: the same ebbs and swells of attention and distraction, the same peaking of reward processing here, boredom alerts there. The neural response patterns evoked by the videos — on subjects as diverse as the dangers of college football, the behavior of water in outer space, and Liam Neeson trying his hand at improv comedy — proved so congruent among friends, compared to patterns seen among people who were not friends, that the researchers could predict the strength of two people’s social bond based on their brain scans alone.
- Similar neural responses predict friendship
- Human social networks are overwhelmingly homophilous: individuals tend to befriend others who are similar to them in terms of a range of physical attributes (e.g., age, gender). Do similarities among friends reflect deeper similarities in how we perceive, interpret, and respond to the world? To test whether friendship, and more generally, social network proximity, is associated with increased similarity of real-time mental responding, we used functional magnetic resonance imaging to scan subjects’ brains during free viewing of naturalistic movies. Here we show evidence for neural homophily: neural responses when viewing audiovisual movies are exceptionally similar among friends, and that similarity decreases with increasing distance in a real-world social network. These results suggest that we are exceptionally similar to our friends in how we perceive and respond to the world around us, which has implications for interpersonal influence and attraction.
- Brain-to-Brain coupling: A mechanism for creating and sharing a social world
- Cognition materializes in an interpersonal space. The emergence of complex behaviors requires the coordination of actions among individuals according to a shared set of rules. Despite the central role of other individuals in shaping our minds, most cognitive studies focus on processes that occur within a single individual. We call for a shift from a single-brain to a multi-brain frame of reference. We argue that in many cases the neural processes in one brain are coupled to the neural processes in another brain via the transmission of a signal through the environment. Brain-to-brain coupling constrains and simplifies the actions of each individual in a social network, leading to complex joint behaviors that could not have emerged in isolation.
- Started reading Similar neural responses predict friendship
- New internet accounts are Russian ops designed to sway U.S. voters, experts say
- A website called usareally.com appeared on the internet May 17 and called on Americans to rally in front of the White House June 14 to celebrate President Donald Trump’s birthday, which is also Flag Day.FireEye, a Milpitas, Calif., cybersecurity company, said Thursday that USA Really is a Russian-operated website that carries content designed to foment racial division, harden feelings over immigration, gun control and police brutality, and undermine social cohesion.The website’s operators once worked out of the same office building in St. Petersburg, Russia, where the Kremlin-linked Internet Research Agency had its headquarters, said Lee Foster, manager of information operations analysis for FireEye iSIGHT Intelligence.
CEPE 2019: 28–30 May, 2019, Norfolk, Virginia, USA
- CEPE (Computer Ethics—Philosophical Enquiry) is a leading international conference and has played a significant role in defining the field since its first event in 1997. CEPE is held biennially, and is organized by INSEIT (the International Society for Ethics and Information Technology). For CEPE 2019, the conference theme will be Risk and Cybersecurity. We encourage submissions on this theme, but welcome submissions on any topic related to ethics and computers.