Tech Blog

How do I start working with a new type of data?

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I recently completed an MSc in Computer Science at Dalhousie University. For my thesis, I analyzed sets of AIS* data I had not used before starting my Master’s degree. I want to share some lessons I learned about how to start working with unfamiliar data.  *AIS: Automatic identification system is an automatic tracking system for […]

Tech Blog

What does my data need to look like to do AI/ML?

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Do you have data, but are unsure if it is suitable for AI/ML?  There are many different types of data, but they generally boil down to a few categories.  Typically, your data will be: numerical categorical time series text Numerical Numerical data can also be called quantitative. It can be a continuous variable, like temperature […]

Tech Blog

Are GPUs better for Machine Learning?

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Graphical Processing Units or GPUs are popular among data scientists for use in training machine/deep learning models. But what is the difference between GPUs and their companions, central processing units (CPUs)?   There are several aspects of GPUs that differ from CPUs. GPUs and modern CPUs have various cores, rather than one. A core is […]

Tech Blog

How much data do I need for AI/Machine Learning?

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We are often asked how much data one needs when using artificial intelligence/machine learning techniques. Unfortunately, there is no simple answer. It will depend highly on what type of data you have, and what methods you are employing.  Is it possible to have too little data? Yes, but there can be some easy fixes. The […]

Tech Blog

What is HPC?

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HPC stands for High Performance Computing. It can also be used as a synonym for supercomputing. An HPC infrastructure has the following characteristics: A huge amount of computation resources Advanced computation capabilities Fast interconnections Parallel processing CPU/GPU computation Advanced file systems Enhanced securities Large storage. HPC is widely used for scientific computation, application development, machine […]

Media

Introducing our Executive Director

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A drive to see Atlantic Canada succeed in the ocean’s sector combined with a desire to help companies use their data to grow, places Jennifer LaPlante in good standing to oversee DeepSense as Executive Director. “DeepSense really brings this together,” says LaPlante. “I’m looking forward to helping companies in this space with their decision making.” […]

Media

How wired mussels are predicting toxic algae

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A project led by the Department of Fisheries and Oceans, Cooke Seafood and Dalhousie University is using sophisticated sensors to convert a mussel’s distinctive behaviour when exposed to stressors into an early detector of toxic algae. This is one of the first projects DeepSense, will work on. Read the full story at CBC News.

Media

“Big data meets big ocean research”: Government of Canada launches Dal-led big ocean data innovation environment, DeepSense

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The Government of Canada has officially launched DeepSense, the Dalhousie-based world-class big ocean data innovation environment. DeepSense is a unique ocean research partnership between industry, academia and government that will enable companies to benefit from technology solutions that will solve real-world ocean related data challenges to help them make sustainable and better-informed commercial decisions. World-class […]