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Reliable emotion detection is one of the holy grails of deep learning and AI research. The creation of AI models that are consistently able to recognise and contextualise human emotions promises revolutionary applications across a number of industries. Widespread deployment of this technology will allow companies and other organisations to

Today’s cutting edge computer vision based AI models are required to operate within an increasingly complex, dynamic and fast changing world. In order to reliably function within moving, real-time environments AI systems require training with high-quality annotated video data. To create this data annotators use digital platforms to apply

Computer vision based AI models are being deployed in military contexts. The use of AI in weapon systems is a complex and controversial area, the practical and moral implications of which are still being debated by thought leaders and policy makers. However, AI powered military technology is increasingly being harnessed

“Poor data quality is enemy number one to the widespread, profitable use of machine learning.” – Tomas C. Redman, Harvard Business Review, If Your Data Is Bad, Your Machine Learning Tools Are Useless The most exciting, innovative machine learning projects in development today are reliant on access to quality data. Inaccuracies

Facial recognition technology is helping to create a safer world. Computer vision based AI models have the capacity to protect homes and secure public spaces by identifying threats and alerting security services. However, as this technology moves into the real world significant challenges are beginning to emerge. Until now facial

While learning from experience is natural for the majority of organisms—even plants and bacteria—designing machines with the same ability requires creativity, experimentation, and persistence. And yet the potential for machine learning is limitless. A number of the most anticipated applications for machine learning have sprung from the subfield

Annotating image and video data for machine learning is a substantial challenge for all AI companies, but for startups it can be a significant bar to development. Accurate, quality image annotation requires a large investment of time and resources, potentially detracting from the core mission of companies at a precarious