Privacy Preserving Federated Learning – Year two

By virtualizing all the various appliances in the network, Network Function Virtualization (NFV) became a key enabler for the coming 5G infrastructure and nowadays a major shift is under way bringing an evolution to cloud-native NFV. In the latter operational model, applications are decomposed into microservices running inside containers to enable automated installation, configuration and […]

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Machine Learning for the Telecommunication Industry

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of […]

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Improving the use of evidence-informed health policy for individuals with brain-based disabilities – Year two

There has been an increasing focus in the health and disabilities research field on knowledge translation – that is, to ensure that emerging research can be effectively integrated into health and social service policies and into service delivery. Studies on the development of policy and services demonstrate that many factors apart from academic research evidence […]

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Machine Learning for the Telecommunication Industry

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of […]

Read More
Machine Learning for the Telecommunication Industry – Year two

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of […]

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Enhancing Nurses’ Role in Opioid Stewardship – Implications for health policy, practice advocacy) and patient safety

Multiple national strategies have been developed address the opioid crisis, however, Canada still remains the second largest consumer of prescription opioids. These drugs can have negative effects on consumers because they have addictive properties so therefore consumers may become addicted to these drugs if there are not taken as prescribed. For other drug classes such […]

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Enhancing Nurses’ Role in Opioid Stewardship – Implications for health policy, practice advocacy) and patient safety – Year two

Multiple national strategies have been developed address the opioid crisis, however, Canada still remains the second largest consumer of prescription opioids. These drugs can have negative effects on consumers because they have addictive properties so therefore consumers may become addicted to these drugs if there are not taken as prescribed. For other drug classes such […]

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Privacy Preserving Federated Learning

5G, cloud and IoT confederation vision is to revolutionize the internet by fostering billions of interconnected mobile and embedded devices, sensors, and services, exchanging information in order to build smart, self-conscious autonomous environments. Yet, the ubiquity and value of connected devices and their applications cannot hide their security and privacy challenges. The enormous amount of […]

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Advanced differential mobility mass spectrometry with electron capture dissociation for the characterization of therapeutic proteins

Many new pharmaceuticals are based on large biomolecules like proteins. Even small differences in the protein structure can cause significant changes in the efficacy and safety of these drugs. Furthermore, these large molecules are difficult to characterize without advanced instrumentation and methods. Current technologies still struggle with robustness and reproducibility. This study aims to introduce […]

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Advanced differential mobility mass spectrometry with electron capture dissociation for the characterization of therapeutic proteins – Year two

Many new pharmaceuticals are based on large biomolecules like proteins. Even small differences in the protein structure can cause significant changes in the efficacy and safety of these drugs. Furthermore, these large molecules are difficult to characterize without advanced instrumentation and methods. Current technologies still struggle with robustness and reproducibility. This study aims to introduce […]

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