Nowadays a corporation’s public image plays a major role in that company’s decisions and financials. This project involves predicting fraud and errors within the financial statements of publicly traded companies. The goal is to incorporate information such as press releases and industry media coverages to provide an insight to these companies under audit and their […]

Ecobee is a home automation company that makes thermostats for residential and commercial use. Smart lights are the second-most desired home automation devices after thermostats, but being able to remotely control the lights is only a small part of the vision. ecobee light switches have embedded microphones, a speaker, and far-field voice technology that allows […]

Layer 6 builds state-of-the-art recommender systems for TD’s online businesses. Collaborative Filtering (CF) is a common recommendation approach that widely adopted by many e-commerce platforms. Modern CF algorithms attempt to exploit latent features to represent users and items, which can lead to the lack of transparency of the recommender systems. In order to build a […]

Bombardier is interested in investigation a novel aircraft configuration known as the strut-braced wing configuration, which is has the potential for improved fuel efficiency relative to current tube and wing aircraft. However, Bombardier’s preliminary multipdisciplinary design optimization tools need to be extended in order to be applicable to this configuration. The intern will extend the […]

Manual inspection method is still applied by mounting parts on customized checking fixtures and thus dimensions are checked with different gauges/feelers. Typically, it could take 10 -30 minutes to fully inspect the required spatial dimensions of one part. This project will develop an automated 3D dimensional inspection system for deep drawing parts. After manually mounting […]

Global service providers in highly regulated financial sectors must accommodate an ever-changing, sometimes competing, landscape of regulatory concerns. This project seeks to determine a reasonable path forward in technology design and adoption to accommodate current and anticipated data privacy and data residency concerns, making it possible to keep data within borders while still facilitating collaboration […]

The Nymi band is a unique wearable that authenticates the wearer using biometric data to provide continuous authenticated presence in smart environments. Nymi enables wireless user proximity & presence solutions, removing the need for physical interaction with IoT, mobile and computer applications for identification, non-repudiation, personalization and intent for any transactions. Similar to a lot […]

An early symptom of Alzheimer’s Disease is difficulty in remembering recent events. These trends are reflected in problems in language and patterns of speech. Speech patterns of an individual can hence be used to determine the trajectories of preclinical cognitive decline. The difference in the cognitive trends over subject groups, analyzed using speech data collected […]

Surgical Safety Technology aims to improve operating room safety by capturing and analyzing operation videos. Usually, operating room traffic (like people displacement) has a huge impact on surgery. Unnecessary movements can cause distraction of surgeons and pollution of the sterile environment. This project applies computer vision models to detect and track people movements in the […]

The goal of this work will be to explore different ways to visualize and interact with knowledge extracted automatically from very large heterogeneous document collections. This extracted knowledge will be in the form of a multi-attribute graph of extracted entities and relationships between them. These relationships will be associated with both temporal and spatial information. […]

CRISP is an international Deloitte development initiative aimed at helping some of our largest clients understand and managed corporate risk. CRiSP stands for “Cognitive Risk Sensing”, and it centers around using large sources of mostly unstructured data (i.e. 10% sample of all of Twitter, thousands of news aggregators, etc.) to understand and forecast risk for […]

Addictive Tech Corp is a fast-growing ad-tech company. They use real-time advertisement bidding software which is massive and sophisticated. The actual dynamics involved in any given bid are complex and hard to predict. This makes writing test logic for such a system cumbersome and catching all corner cases next to impossible. Because of the scale […]