Computing & Mathematical Sciences Events
Cyber Security Challenge 13th Jul 2018
Join us for the 5th annual Cyber Security Challenge hosted by CROW (Cyber Security Researchers of Waikato).
Seminar: The Search for Emotions in Language 10th Jul 2018
Emotions are central to human experience and behavior. They are crucial for organizing meaning and reasoning about the world we live in. They are ubiquitous and everyday, yet complex and nuanced. In this talk, I will describe our work on the search for emotions in language — by humans and by machines.
I will describe large crowdsourced studies asking people to detect emotions associated with words, phrases, sentences, and tweets. I will flesh out the various ways in which emotions can be represented, challenges in obtaining reliable annotations, and approaches that address these problems. The lexicons thus created, with entries for tens of thousands of English terms, provide scores along the dimensions of basic emotions as well as valence, arousal, and dominance (argued by some to be the core dimensions of meaning). The lexicons have wide-ranging applications in natural language processing, psychology, social sciences, digital humanities, data sonification, and art. I will highlight some of the applications we have explored in literary analysis and automatic text-based music generation.
In the second part of my talk, I will show how word-emotion lexicons are crucial in detecting emotions in sentences and tweets. This includes the use of the lexicons in our NRC-Canada system that stood first in three SemEval-2013 and SemEval-2014 sentiment analysis shared task competitions, as well as in neural approaches in emotion detection that came first in recent shared tasks we organized. These new tasks include inferring stance from tweets and detecting fine-grained emotion intensity. Finally, I will conclude with work on assessing the extent of inappropriate biases in automatic emotion systems.
Training: NZISCS (ISC)2 CISSP CBK Seminar 25th Jun 2018
The CISSP certification is ideal for security practitioners, managers and executives interested in proving their knowledge across a wide array of security practices and principles. All courses will be led by (ISC)²-certified members of the New Zealand chapter who have gone through a qualification process to become an (ISC)2-authorized instructor.
Technology driving big data analytics are now mainstream commodities and Machine-Learning infrastructure is fast following suit. To make use of these technology stacks — and the associated utility computing — requires access to data and algorithmic know-how. Data often locked away due to concerns for privacy, misuse, quality, control and interpretation, lack of consent, or anticipated proprietary interest.
The Data Commons is a new open project (NZ wide) that aims to enable access to a wide class of data and algorithms. To create open network markets for access to data services. To build trustworthy abstractions into the use of data. Designing distributed network systems as the socio-technical boundary-objects they have become— Interpreting and instrumenting systems architecture with explicit economic, legal, financial, and accounting models. Integrating services across different organisations to facilitate the flow and use of information.
To achieve this the project will lean heavily on many areas of Computer Science, integrating it with other disciplines. Touching on data sovereignty and data protection, leading to integration with law and the legal system (code-as-law and law-as-code) and modes of governance. The need to achieve coordination across mutually distrusting entities leads to evolutionary mechanism design, cryptography, and formal models and methods. To create meaning elevates the importance of semantics and secure provenance of data to create strong portable archival bonds.
Building a foundation for the trusted and efficient integration of systems is no easy task. This talk will describe the project, the architecture, but also highlight many of the unanswered questions around building pervasive computing systems that we are confronting.
Industry Talk: I know I.T. 11th May 2018
What exactly does that mean? After over 30 years of working in I.T. you would think I would have the answer. I do, but could I explain it to someone who doesn’t work in I.T.? It’s hard, I know because I’ve tried many, many times and I don’t think I’ve ever satisfactorily explained it to a non I.T. person. For example my family, they still don’t know what I do for a living. In so many ways the IT department or function has changed radically since the eighties, but in other ways it’s still the same.
The technologies have changed, but they’re just a tool, a means to end. The goals of the IT department are still the same, you’re either aiming to make money or save money. Each piece of work is determined on its ability to serve either purpose which is reflected in a business case or business plan.
This now leads us on to the age old question of how do we take the tools and the goals and be the best at what we do. This is where organisational structures and business processes fit in. Businesses have always aimed to improve themselves over time. Each industry has its own history of evolution and the I.T. industry is no different, just more recent.
This is a short talk on my journey in I.T since the late 70’s programming PET computers in the school computer Lab to now, in 2018, where I am a Technology and Innovation consultant helping companies navigate complexities of what Technology means for their industry.
Dr Shane Legg - Distinguished Alumni Award and Public Lecture 8th May 2018
Want to know where a Computer Science degree can take you? Shane Legg sold his company to Google! Dr. Shane Legg will deliver a free Public Lecture, after which he will receive a Distinguished Alumni Award from the University of Waikato.
Seminar: A brief introduction to NLP with Pytorch and GPUs 26th Apr 2018
Part of the success of Deep Learning is due to the massive computational speedup provided by GPUs. In the first part of this talk, I will be sharing some of the utilities I've found and developed for working with a remote GPU-powered environment in a comfortable way. This includes a few bash and Python scripts that will hopefully make your life easier. On the second part of the talk I will give a quick introduction to Pytorch using GPUs. We'll use Google's colaboratory platform to go through two practical examples in detail, so feel free to bring your own laptops to play around with the code. Starting with a simple logistic regression to explore the basics of the library, we will later move into a sequence classification example using an LSTM which achieves nearly SoTA results on sentiment classification on the IMDB movie review dataset.
Seminar: Brian Knep, Media Artist / Computer Scientist 11th Apr 2018
Brian Knep is a media artist whose works range from large-scale interactive installations to microscopic sculptures for nematodes. He was the first artist-in-residence at Harvard Medical School, working side-by-side with scientists, using their tools and techniques to explore alternative meanings and ways of connecting to the world. Knep’s Deep Wounds, commissioned by the Office for the Arts at Harvard University, has won awards from Ars Electronica, the International Association of Art Critics, and Americans for the Arts, who selected it as one of the best public-art projects of 2007. His work has also been shown at the Cleveland Art Museum, Denver Art Museum, Milwaukee Art Museum, RISD Museum, Aldrich Center for Contemporary Art, and others; and he has grants and awards from Creative Capital, the Massachusetts Cultural Council, and the LEF Foundation, among others.