Antibiotics are used to treat bacterial infections. Interactions between certain antibiotics and medicines may cause side-effects and decreased effectiveness of antibiotic therapy. Quite often, the prescription consists of multiple antibiotics to treat infections caused by different kinds of bacteria and it requires thorough knowledge of the interactions among these antibiotics and other medicines. For example […]

Coconut Calendar provides an appointment scheduling software platform to customize the on-line customer booking experience for small home-based services-provider businesses, such as massage therapists, hair stylists, or home cleaners with only a few locations. Coconut Calendar is now expanding their business to larger clients with dozens or even thousands (e.g., IBM) of customers. The challenge […]

The problem of accurately predicting the onset of sustained postoperative atrial fibrillation (AF) in patients undergoing coronary artery bypass grafting (CABG) remains open. Investigators have reported many clinical indices currently associated with postoperative AF following CABG. Contemporary machine learning techniques are well-suited to recognizing underlying trends in ‘training’ data consisting of several labeled examples, and […]

Voices.com, the largest online marketplace of voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research will use machine learning to identify and train an NLP learnable parser. The second phase […]

Municipal governments and urban centres across Canada are being inundated with data—data that have potential to improve public service. Despite this, local governments do not have enough data expertise to extract insight from these overwhelming datasets. Simultaneously, high-quality personnel (HQP) in the domains of data science and urban analytics lack opportunities to work closely with […]

Passages and A/V Performances are two sets of art installations that will be prepared for a series of electronic art and music festivals in both the United States and Canada. Passages is the first in a series of installations surrounding Malcolm Levy (of Hybridity Media)’s Other Frames work, developing it in an interactive context.The second […]

Massive, complex, interlinked information is collected by scientific research in different spheres of natural and social sciences. Graphs are commonly selected as a model of such information: graphs can successfully represent imprecise, uncertain, noisy data; graphs are well suited for the data structure analysis; graph theory has a well-developed mathematical apparatus forming a solid and […]

Automobiles have become one of the necessities of modern life, but also introduced numerous traffic accidents that threaten drivers and other road users. Most state-of-the-art safety systems are passively triggered, reacting to dangerous road conditions or driving behaviors only after they happen and are observed, which greatly limits the last chances for collision avoidances. Timely […]

Each day several email messages containing respiratory care topics, issues, and latest treatments are exchanged within the Respiratory Therapy community. Effective exploration and visualization of informal knowledge in these email threads and combining them with the scientific articles published in the Canadian Journal of Respiratory Therapy (CJRT) has the potential to inform future respiratory care […]

Identifying and removing duplicated records by leveraging state-of-the-art AI and machine learning techniques (deep neural networks) from co-op banks’ customer databases, such as the one within the partner organization, Desjardins, will help the banks pay out the appropriate share of dividends to their customers.

Network operators ubiquitously deploy hardware middleboxes such as firewalls, proxies, WAN optimizer, intrusion detection and prevention systems to realize different network services. These middleboxes are vertically-integrated, expensive, and proprietary hardware appliances with limited or no programmability and require specially trained personnel for deployment and maintenance, resulting in increased capital and operational expenditure for the network […]