Field Programmable Gate Arrays (FPGAs) are integrated circuits that can be programmed after manufacturing. It has applications in a wide variety of fields, from cryptography to machine learning. Computer Aided Design (CAD) tools are used to automate the process of programming FPGAs. Routing is a component of CAD that attempts to find an optimal design […]

Meta’s Bibliometric Intelligence is a service platform to provide automated and in-depth manuscript assessment to authors and publishers in biological science. This internship project is to develop a new version of Bibliometric Intelligence. The intern will apply state-of-art machine learning and natural language processing skills to improve its performance. Accurate assessment and profiling of manuscript […]

As the multi-processing power of computers continues to grow, traditional methods of memory management become more and more problematic. The purpose of this project is to quantitatively analyze existing memory management tactics to determine whether they can be improved using techniques that take advantage of modern hardware, or instead, whether brand new methods for managing […]

Large numbers of online comments about a public consultation from citizens makes it difficult for decision-makers on public projects. To clarify various cognitions of participants is important. But reading through all comments, especially long ones, is unrealistic due to the high cost. An example dataset is 974 comments about whether residents support a new 0.5% […]

“Much of life is online, so online security is critical. While many aspects of security are infrastructural, users must make key decisions. In particular, users must decide which websites to trust and which to avoid. How can users know if a website is truly what it claims to be? This is a pivotal issue. When […]

In recent years monitoring and protection of food and water resources became a priority of governments worldwide. Bio-hazards are potential threat for these resources thus need to be addressed both in industry and in academia. Therefore, developing an accurate, fast and cost effective technique for detection of pathogenic strains called for increased demand on the […]

Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to […]

Unstructured data refers to data that is present in reports, web pages, newspapers and other media. Such data is the most common data that we see around us and yet no modern tools exist to extract information from it. In this project we will develop techniques to extract the data and apply it to geoscientific […]

Discovery Agents is a leader in mobile, augmented reality educational technology, with products and services intended to enhance student and teacher experiences within informal and formal educational settings. With a growing industry demand for diverse science, technology, engineering and mathematics (STEM) professionals, this study proposes to examine the impact of the Discovery Agents Mission Builder […]

Recent advances in applications of deep learning in natural language processing has provided potential opportunities in building robust information retrieval and conversational models that require far less hand-crafted features for understanding the intent of queries and ultimately building question-answering systems. In particular, there has been several advances in factoid question-answering systems and some recent attempts […]

Most cameras today, take photographs by measuring the amount of light in a scene. This means that they discard any information about the directionality of light, which results in a two-dimensional representation of the three-dimensional scene. We have developed a new type of camera that can detect the direction of light as well as image […]

Farmers of North America (FNA) and FNA Strategic Agriculture Institute (FNA STAG) are two Canadian organizations dedicated to maximizing farm profitability. They collect and analyze demographic, legal, marketing and relevant data about its producers and partnering commodity organizations to understand the farmer market need and create strategies for business operation functionality. With this project, the […]