The Queensland tech company leading the way in Drone Autonomy and LiDAR Mapping

The Queensland tech company leading the way in Drone Autonomy and LiDAR Mapping

by | May 24, 2023 | AI in Action, News

Drone Autonomy, LiDAR Mapping and Data Analytics

Brisbane-based company Emesent was founded in October 2018, and has since become a trailblazer in the underground mining industry. With 154 employees, the company offers a range of innovative products that utilise artificial intelligence and machine learning (AIML) to help navigate unmanned systems, using simultaneous localization and mapping (SLAM) and identifying specific shapes for automation. Emesent’s unique offering in the industry is a combination of 3D scanning with autonomy. This allows for more accurate and precise data collection, particularly in hazardous and challenging environments. Emesent’s products and services have already impacted the underground mining industry, with over 400 systems in use globally, revolutionizing workflows across a number of countries. Global Head of Defence & Security, Dean Dickson says the company is combining advanced robotics, machine learning, and AI to build autonomous systems that will radically improve operational safety and efficiency. 
 
 “The future development of a fully automated ecosystem delivering data analytics to a single operator via a 4D visualisation platform will be instrumental in increasing efficiencies and ensuring people are removed from hazardous environments”. 
 
Emesent’s focus on AIML will play a crucial role in the future of automation. The technology is expected to deliver more insightful data, providing greater value to customers. The company’s growth from seven employees in late 2018 to 154 in 2022, with the release of five new product offerings in 2022, is a testament to the potential of the technology. 
 
Emesent’s success lies in its ability to leverage AIML and its unique combination of 3D scanning and autonomy to develop cutting-edge products and services. The company’s focus on automation will undoubtedly have a significant impact on the industry, as more businesses recognize the benefits of utilizing AIML for their operations. Emesent is leading the way in this space, and it will be interesting to see how the company continues to innovate in the coming years. 
 
To find out more about Emesent please click here

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Datarwe

Datarwe

by | Mar 27, 2023 | AI in Action, News

Changing the Medical Landscape with AI 

Launched in late 2020, Datarwe connects hospitals, researchers, clinicians, and developers with curated enriched data through their Clinical Data Nexus (CDN). 

Imagine a comprehensive data library of cleansed, labelled, and validated real-world clinical data. Data you can sort through and make sense of using artificial intelligence and machine learning (AIML). Whether you’re working on an innovation or researching how to best launch a new product into the wider community, this data can assist you in making informed choices on a whole other level.  

The above is exactly what Datarwe provides you with through their CDN.  

While using AIML in medicine and science is nothing new, Datarwe is the first company in the world to host de-identified patient data from Queensland Health, totalising more than 13M+ episode hours with the inclusion of international available data sets.  

The CDN is furthermore the first multimodal data platform designed to capture, process and generate actionable insights from medical data to reduce the translation gap between clinical research implementation and healthcare outcomes.  

The team is united by the challenge of revolutionising medicine through enhanced real world clinical data access. They are working together with the healthcare industry to increase the adoption of medical AI innovation to the patient bedside and beyond. 

CEO Steve Woodyatt says, “We engage with clinicians, healthcare system operators and executives, researchers, AI/ML developers and the med-tech and pharma community. By working together in the CDN collaborative environment, our partners achieve far greater technology and performance outcomes more quickly and cost-effectively than would be possible if undertaking those same activities in isolation.”  

CTO Kelvin Ross adds, “The CDN enables clinicians and medical researchers to more rapidly collaborate in the development of next generation AI clinical diagnostic tools and technologies.” 

What fuels the team isn’t just a desire to provide a solution that helps the healthcare industry cut costs and improve efficiency. The real inspiration is patient care according to Woodyatt, “By combining de-identified patient data with advanced analytics, the CDN is giving [users] the capability to make evidence-based changes in their healthcare practices, driving better outcomes at the individual patient level. Overall, the CDN is working to achieve personalised medicine.” 

Woodyatt, when asked about the future of AIML said, “The future is already here.” However, he also mentioned that, “The future of healthcare is in AI and ML tools to unlock novel insights from complex patient data and create advanced accurate clinical decision support.“  

It certainly seems that Datarwe is going to be part of that future. Having launched as recently as 2020, the company already has 24 employees spread out across Australia and WA. 

You can find out more on www.datarwe.com

VALD Performance

VALD Performance

by | Feb 23, 2023 | AI in Action, News

VALD Performance – Revolutionising the Use of AIML for Training Athletes and Rehabilitating Patients After Injury

VALD uses the largest sports science data set in the world together with unique devices that measure movement and musculoskeletal functioning to offer unparalleled insight into human movement, performance, injury risk, and rehabilitation. 

Newstead-based company VALD was established in 2016 and now has 180 employees worldwide—going from only 50 in Australia in 2020.  

VALD’s innovative human measurement technologies are used by over 1,000 of the world’s most elite sporting teams (NFL, MLB, NBA, etc.), clinics, universities, hospitals and defence departments. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD continues to innovate products and grow their customer base.  

VALD has designed a number of devices that measure strength and stability, such as their NordBord hamstring testing system and the ForceFrame strength testing system (testing upper body strength and stability).  

These devices give trainers, coaches, and physiotherapists the ability to get an accurate view of the athlete. What’s more, the VALDHub allows you to gather the data in one place and visualise the results instantly. You can analyse how a person or team is performing against set metrics and measure their progress, or lack thereof.  

VALD now also offers an exercise prescription app, TeleHab, that professionals can use to set exercises for athletes and patients and track whether they stick with the program, or not.  

In addition, VALD has developed the HumanTrak Movement Analysis System.  

HumanTrak uses a 3D camera together with movement sensors to create a 3D image of the athlete’s or patient’s body. It offers a real-time movement assessment that can help professionals tailor-make training and rehabilitation programs and set measurable objectives.  

With HumanTrak instant reports can be created and printed, allowing the athlete or patient to follow along in their journey and buy into the goals set out for them.  

In comparison, other companies use one or two pieces of equipment and can only measure one component of musculoskeletal health (e.g. strength).  

Artificial intelligence and machine learning (AIML), plays a big role in what VALD does. It’s thanks to AIML VALD is able to generate normative datasets for their end users and identify anomalous tests recorded by their clients. AIML is also used in computer vision to track how people move. AIML has streamlined their data science processes and allowed them to move into the world of portable motion capture using a phone—predicting an individual’s likelihood of success in rehabilitation based on minimal data. 

As they move forward, their ability to generate insights from data will continue to improve thanks to AIML. What’s more, their ability to predict health outcomes from minimal data will get better and better.  

According to Product Lead Gavin Lenton, “We are excited to provide smaller and more portable product solutions for our clients to measure musculoskeletal function. We are also excited to generate meaningful insights from our large data sets that help practitioners make decisions about how to manage their patients.” 

That VALD is having an impact in the field of sports and medicine is clear. Since VALD launched its handheld dynamometer product, DynaMo, in March 2022 sales have been booming. Currently, more than 600 units have been sold and this number continues to grow. Across all of VALD’s products, over 8 million unique tests have been recorded.  

For more information about VALD please visit www.valdperformance.com  

Brisbane Airport Corporation Expands use of Artificial Intelligence to reduce emissions

Brisbane Airport Corporation Expands use of Artificial Intelligence to reduce emissions

by | Aug 23, 2022 | AI in Action

BrainBox AI, a pioneering leader in autonomous building technology, today announced its agreement with the Brisbane Airport Corporation Pty Limited (BAC) to expand its revolutionary artificial intelligence (AI) technology across multiple precincts of Brisbane International Airport.

This follows a successful trial of BrainBox AI’s technology in a select area of the Brisbane Airport property (BNE).

The results yielded from the pilot were significant with a 12% decrease in HVAC (heating, ventilation, and air conditioning) system energy usage, 17% reduction in building equipment run-time, and zero comfort-related customer complaints during the six-month pilot. These impressive results bolstered BAC’s confidence in BrainBox AI’s core product, enabling the AI’s installation in other areas of the airport. 

Brisbane Airport Corporation, the operator of Brisbane Airport (BNE), is committed to 2030 Sustainability Targets to address carbon, energy, water, and waste impacts.

Derek Boo, Head of Asset Optimisation of Brisbane Airport Corporation spoke about the airport’s approach to innovation.

“We are committed to achieving our sustainability targets and experimenting and adopting new technologies which can assist in reducing energy use that ultimately contributes to carbon emission reductions – this is one of the ways we’ll meet our goals. Based on our successful trial with BrainBox AI, we have identified several other opportunities to scale the program and we are looking forward to seeing the results.”

Using deep learning, cloud-based computing, and its bespoke proprietary process, BrainBox AI’s engine autonomously optimizes the building’s existing heating, ventilation, and air conditioning (HVAC) system. With the technology, buildings can benefit from a decrease in their carbon footprint, reduction in HVAC energy costs, and extension of HVAC equipment life.

This installation marks a first for BrainBox AI; its official launch into the aviation industry. It is a pattern that Sam Ramadori, CEO of BrainBox AI would like to see repeated across more of the aviation sector given the size of these facilities.  

“In a world first, Brisbane Airport Corporation is the pioneer among international airport operators in terms of using autonomous AI to reduce emissions at its facilities,”

“We know that airports are significant users of energy, and we also know that across the globe, corporate users and the public alike want to see significant reductions in emissions at these large sites. BrainBox AI is a powerful yet painless way to achieve those reductions. The approved expansion of our technology is a positive step forward in what we hope will be a deep and lasting partnership between us and the sustainability-minded team at Brisbane Airport Corporation.”

For the Brisbane Airport Corporation, the decision to deploy BrainBox AI’s tech in the airport service centre fully aligned with its sustainable development strategy. Furthering its position as industry leaders in the sector; making impactful strides in the fight against climate change.

Since its launch in May 2019, BrainBox AI now manages over 100 million square feet of commercial real estate across 21 countries. This initial step into the aviation space for BrainBox AI marks yet another milestone in the expansion of the company’s footprint into various sectors. 

To learn more, visit BrainboxAI or view original post.

Image source: Brisbane Airport Corporation

New $142.2 million roadmap to drive Queensland’s innovation economy

New $142.2 million roadmap to drive Queensland’s innovation economy

by | Jul 29, 2022 | AI in Action

The Queensland Government have officially launched the new $142 million Advance Queensland – Innovation for a Future Economy 2022-2032 roadmap.

This new roadmap builds on the success of the existing Advance Queensland innovation agenda, setting out Queensland’s innovation priorities to drive knowledge jobs in the lead up to the 2032 Olympic and Paralympic Games in Brisbane.

Premier Annastacia Palaszczuk made the announcement at a special Cabinet meeting at The Precinct in Fortitude Valley – home to the Queensland AI Hub.

“When we started on the Advance Queensland journey back in 2015, our aim was to drive innovation, entrepreneurship and jobs to engage in the emerging global future economy,” the Premier said.

“That includes things like the internet of things, artificial intelligence, robotics and biotechnology – that in effect are producing a range of new and interconnected industries, including circular, renewable energy, personalised health, biofutures, and digital economies.

“Since then, we’ve invested $755 million, in turn leveraging $988 million from industry partners and supporting more than 27,000 jobs in the state, of which over 11,400 are in the regions.

“Innovation and entrepreneurship are crucial as economies are fundamentally being transformed by major technological shifts – from AI to biotechnology. Places like Silicon Valley and companies such as Airbnb and Tesla.

“We have to continue to innovate and grow and to capitalise on the success of Advance Queensland initiatives to accelerate economic growth opportunities for Queensland in the lead up to Brisbane 2032.

“We also want to continue to reverse the brain drain. We want to build on Queensland’s enviable lifestyle as a strategic advantage to us being able to help get our smartest people back here.

“Today’s roadmap builds on that.”

The $142.2 million in funding includes:

    • $100 million over 3 years for new and existing programs under Advance Queensland.
    • $15 million for the Queensland Innovation Precincts and Places Strategy and Action Plan
    • $10.2 million for the Innovation Action Plan and Office of the Chief Entrepreneur, and
    • $17 million for Department of Environment and Science to support priority industry-science centres of excellence and partnerships and accelerate university commercialisation.

Advance Queensland initiative is designed to harness the innovation of Queenslanders to grow jobs and exports as the Beattie Government’s Smart State has with biotechnology research and infrastructure. 

For more information: https://advance.qld.gov.au/innovation-future-economy

AI In Action | Accelerating Neurological Rehabilitation

AI In Action | Accelerating Neurological Rehabilitation

by | Aug 3, 2021 | AI in Action, Homepage, News

Case in point. Researchers at The University of Queensland are using AI – embodied in robotics and virtual reality (VR) – to better understand and accelerate neurological recovery after stroke.

“We have to think of AI not just as artificial intelligence, but rather as augmenting human intelligence,” says Dr Alejandro Melendez-Calderon, an expert in human augmentation technologies used in medicine (robotics and wearable devices).

His research focuses on use of robots, incorporating computer vision and AI, to detect small changes associated with neurological recovery that are difficult for humans to quantify.

“We want to augment human capabilities, through AI, by extending the ability of physical therapists to capture changes in recovery that are difficult to detect with current methods,” Dr Melendez-Calderon said.

“AI should not be viewed as taking people’s jobs. It’s a transformative technology that can complement and improve the way health professionals perform their current jobs.”

Similarly, his colleague, Dr Antonio Padilha Lanari Bo, credits AI as the enabler for VR to be introduced into clinical rehabilitation.

“AI has enabled the development of VR headsets so interaction with the virtual environment is done with your bare hands,” said Dr Bo. He is currently leading a research trial at Metro North Health in collaboration with Herston Biofabrication Institute and Royal Brisbane and Women’s Hospital.

As Dr Bo explains, AI not only tracks hand and finger movements (without the need for sensors or controllers), but can adapt rehabilitation tasks in a virtual environment to best suit individual patients’ abilities and progress.

“It definitely means that rehabilitation will be accelerated, and patients may be able to achieve levels of recovery that were not possible before,” he said.

Special thanks to Drs. Alejandro Melendez-Calderon (pictured above) and Antonio Padilha Lanari Bo (pictured below) for visiting Queensland AI Hub to demonstrate AI in action to better understand and accelerate neurological rehabilitation.

Keen to find out more?

The ‘AI in Action’ research projects featured in this video fall under the Biomedical Engineering Group within The University of Queensland’s School of Information Technology and Electrical Engineering.

About the Queensland AI Hub

Queensland AI Hub exists to cement Queensland’s status as a national and international leader in AI-enabled social, economic and workplace positive transformation. We do this by connecting Queensland’s AI ecosystem and championing the AI community, ensuring the widest collective of stakeholders (AI creators, investors, industry, government, communities) have the right skills and support to understand and implement AI at scale.