Businesses today struggle with manual operations such as paper-based processes and copying and pasting information from one system to another. These manual operations are costing companies hours of unnecessary labour, which trickles down to customers that are expecting on demand services. SOTI has developed a software product called SOTI SNAP that allows anyone to create an app with no programming or technical knowledge required.

Computer Games are one of the key use cases of graphics cards of AMD. To ensure highest quality and performance, extensive testing of graphics hardware and software is required. However, much of this gameplay testing is manual and requires significant efforts due to varying styles in games and their versions. In this context, an open challenge lies in the difficult to automatically pre-process multiple heavily styled and color instances of text that appear in various games which current requires manual tuning.

Software bugs (a.k.a., faulty software code) are human-made errors in code that lead to erroneous behaviours in software. Developers spend ~50% of their programming time dealing with them. Once a software bug is encountered, developers attempt to find its original location in the code and then understand its erroneous behaviours, which is a prerequisite to correcting any bug. Although there has been significant research to find the bugs automatically, only a little attempt has been made to explain the faults in the code that trigger these bugs.

Recent advancements in deep reinforcement learning (RL) have enabled incredible breakthroughs on a wide variety of problems in which computer systems are required to learn through interacting with the environment with no or minimal human intervention. An example of this is DeepMind’s AlphaGo agent, which taught itself to play Go at a superhuman performance. Deep RL has also been applied to robotics, where robotic arms manipulate and transport objects to desired final states guided by the raw images captured by onboard cameras.

Lateral flow assays (LFA) currently used for point-of-care Covid-19 diagnostics suffer from low sensitivity and misdiagnose significant proportion of cases. However, more sensitive PCR and ELISA techniques are too time consuming or complex to be used for rapid results at point-of-care. The automated multiplex platform developed in the project will address this limitation and offer a low cost rapid 20-minute diagnostic test with the sensitivity 1000 times higher than that of LFA.

Epilepsy affects 65 million people globally, with 30% unable to control their seizures with medication.Implantable devices that control brain activity via electrical stimulation are an alternative treatment option;however, existing FDA-approved devices only render 13% of patients seizure-free for up to a year.NerveX Neurotechnologies has developed ANIMO (Adaptive Neural Implant for Modulation and Observation), which solves the key problems causing limited efficacy in existing solutions.

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data from over 2 million connected vehicles we have an opportunity to make our customers safer, as well as our communities and cities. To reduce accidents, we need to understand both the driving behavioural patterns that are predictive of accidents, and the environmental factors involved.

You might have asked Google Assistant what’s the weather like today, or a choice for Valentine's Day dinner; have you imagined whether Google Assistant could be your assistant at work too, answering questions such as “Hey Google, what day generates the most revenue?”? At SOTI, we are turning this idea to reality, by integrating our industry leading mobility solution SOTI SNAP with Natural Language Querying and AI technologies, adding smartness to your business. SOTI SNAP is a product developed by SOTI Inc.

With the ultimate goal of enhancing Nexxt Intelligence’s market research SaaS platform, inca, this project will create a flexible framework for facilitating conversations with consumers using an agent powered by natural language processing and deep learning models. This ‘discourse representation framework’ will be capable of engaging with consumers in fluent English, and is designed to ask sensible and specific questions which are pertinent to ad-hoc research objectives.

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental datafrom over 2 million connected vehicles we have an opportunity to make our customers safer, as well as ourcommunities and cities. To reduce accidents, we need to understand both the driving behavioural patterns thatare predictive of accidents, and the environmental factors involved.