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Aidrivers founding member discusses AI, automation, and its challenges

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Senior Autonomy Scientist for AIDrivers and founding member, Dr Mohib, spoke in a recent interview about founding the artificial intelligence focused company and some of the upcoming projects that the company is working on.

Read the full interview here.

Dr Mohib works closely on the company’s technical road map and assists team leads on the day to day problem solving and in the integration of automation solution with existing infrastructures.

He has a long educational history in the area of computer science and after graduating with a first-class honours BEng in computer system engineering from Brunel university he pursued his PhD research at UCL working novel generative agent based probabilistic estimation and update model for search and rescue application in wilderness using swarm of UAVs.

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Given the fast pace of the area though Dr Mohib said that every day continues to be an education.

“This field is so fast-moving that I believe you can only stay in it with constantly educating yourself and keeping up to date with new technologies, new ideas and solutions.

“Structured education is great for specialisations and therefore is relevant up to a limit, but it can confine you. To excel, you need to be more open to understanding how things work without the limitations of application domain.”

He credits Aidrivers with being a workplace where employees can continue a path of personal growth without limitations as well as pursue entrepreneurial areas for problem driven innovation.

Looking ahead to future developments Dr Mohib highlighted AI enabled autonomous solutions with other automated solutions, all working seamlessly within the port industry.

“For example, I want to see trucks and cranes working within one whole connected environment,” He said.

Innovation like this does not come without its challenges and Dr Mohib said that the main hurdle will be the technology acceptance.

“No matter how much the technology improves, there will always be fear and nervousness of the use of Ai enabled algorithms in automated vehicles unless the trust is achieved. From ordinary persons perspective, one accident is too many when it comes to automated vehicles even if the AI enabled autonomous system was not at fault.”

Overall though it will be easier to integrate these kinds of levels of autonomy into industrial settings, compared with cities for example, because it is easier to plan, manage and enforce protocols.

Read the full interview here.

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