AI & Robotics in Academic Research

Transforming academic research and education with AI & robotics

AI and robotics are being used within universities and research institutes to further our knowledge in a range of fields, including medicine, robotics and science. Key applications in use today include:

Healthcare

University hospital researchers are using AI to process vast datasets of medical images such as X-rays, MRIs, and CT scans, to create anonymised city-wide databases of patients that can be applied to spotting emerging health trends, improving future diagnostics, and develop ground-breaking personalised medical treatments.

Radiology specialist reviewing anonymised medical scans for advanced diagnostics

Drug Discovery & Genomics

AI enables researchers to analyse millions of drug candidates and screen them against a rigid protein target, reducing molecule identification times significantly. Additionally, AI reduces the time and expense associated with genomic sequencing, decreasing errors, improving the accuracy of genome analysis and helping to swiftly and correctly pinpoint genetic variations related to diseases or traits.

Genomics researcher analysing DNA sequencing data with AI-assisted visualisation

Robotics

Academic robotic research is at the forefront of developing AI models that promote improved automation, actions and human-robot interaction from a range of humanoid and quadruped robots, and articulated arms. Continuous improvements in robotic technologies are being deployed to deliver better assistance systems for use in surgery, healthcare, logistics and manufacturing.

Climate Science

AI models help researchers analyse real-time imagery, radar data and satellite measurements to better forecast solar flares, geomagnetic storms, hurricanes, wildfires and flooding events. The better these predication systems are, the more likely we are to get days instead of hours in order to plan for possible disruptions and plan appropriate response efforts.

Diagram showing the Sun, Earth and the trajectories of SOHO, STEREO-A and STEREO-B spacecraft

Guidance for responsible AI adoption in academic research

AI implementation can face significant hurdles, such as high financial costs and their ability to scale into a commercial environment. Scan helps mitigate these risks, as an NVIDIA Elite partner and NVIDIA DGX managed Service Provider, we are ideally placed to advise and guide you on the most appropriate AI systems and software to accelerate your research.

Speak to an expert

Discuss your education for academic research requirements with Scan's specialist team.

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