At Cubica, we use Deep Learning approaches extensively for a range of applications and have an active horizon scanning team who monitor the latest developments from the academic and industrial domains. We also conduct low-level research into Deep Learning algorithms and techniques, examining things like robustness to adversarial inputs, privacy, and speed and efficiency. In …
What’s the context? The current preferred method of herbivore population assessment is expensive and has a high carbon footprint — we need to find greener and more cost-effective ways of collecting, collating, quality assuring and sharing the data relating to this task. Scottish National Heritage Deer Counting method to date The main method of deer …
Cubica secures one of only two highly competitive Pitstop research contracts with DSTL through to develop assistive-agent technology to support decision making in high stress environments. The project will involve application of optimisation and predictive analytics to help recommend and justify recommended courses of action for medical support logistics. Cubica have partnered with AW2 Consulting …
Cubica wins Pit-Stop Assistive-Agent Development Contract Read More »
We are delighted to announce that a Cubica employee has won 3rd prize and was the highest UK ranked competitor in an International Data Science Challenge. The entry was made by one of our employees as a private individual, but made use of Cubica’s Deep Learning based object detection software. The challenge, which was sponsored …
Cubica Employee Wins 3rd Place / Top UK Place in International Data Science Challenge Read More »
We are pleased to announce that we have secured two research and development contracts with the UK MOD Defence Accelerator under the “Revolutionise the human information relationship for defence” call, as well as being a sub-contractor on a third winning proposal. The first of our two contracts involves developing state of the art technology for …
After careful review, Cubica has been selected to join the NVIDIA Inception Programme, which helps exceptional startup organisations accelerate their development through support, access to specialist hardware, and more.
We are delighted to be taking part in today’s Digital Catapult “Pit Stop” sponsored by DSTL. The event is designed to increase understanding and use of “autonomous agents” within defence and security applications. Cubica has been selected to attend based on its experience and expertise in the areas of machine learning and human in the …
DSTL have published a news story about the SAPIENT programme. The article reports “Most security systems, such as CCTV cameras, simply collect data and feed it to an operator who assesses the situation and directs the system accordingly. Monitoring and interpreting lots of data can place a high cognitive burden on the operator. In the …
Cubica will be presenting on “Real-World Challenges in Multi-Sensor Systems” at the Industrial Panel session at the forthcoming Sensor for Signal Processing for Defence conference, being held in Edinburgh on the 22nd-23rd September. Cubica has been invited to attend to share its experience with the various challenges that are faced in applying complex algorithms in …
We are very pleased to announce that our paper, “Towards Integrated Threat Assessment and Sensor Management: Bayesian Multi-Target Search” has been nominated for the Best Paper award at the IEEE MFI Conference. Read more about our paper and the novel algorithm for searching areas for threats it presents here.
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