12/03/2024 | Press release | Distributed by Public on 12/03/2024 11:16
With cloud costs covered by partner AWS, participants used the DeepRacer platform to train self-driving models, transforming theoretical knowledge into hands-on experience. The contestants documented their progress in Institute of Electrical and Electronics Engineers (IEEE)-style reports, critically analyzing each decision and outcome. This approach fostered an environment where participants not only learned machine learning principles but also honed analytical and problem-solving skills.
"DeepRacer is more than just a race," explained data scientist Bryce King. "It's a safe, interactive environment where we get to experiment with machine learning, learn from mistakes, and see AI's potential in action. The skills we gain through this platform are applicable to the work we do for our customers."
Related Reading: Driving the future of customer missions with trusted mission AI The challenge reached its peak at an in-person finale held at global headquarters in Reston, Virginia. Supported by AWS, the event brought the excitement of simulation into reality as finalists raced their models on a track, culminating in a surprise backward lap that challenged competitor's solutions to demonstrate the resilience, adaptability, and performance required to make Trusted Mission AI work in the real world. This hands-on showdown showcased the ingenuity, dedication, and technical skill of employees.
The AI Palooza Challenge has made a lasting impact throughout the organization, drawing contestants from diverse roles and backgrounds-from a pricing manager to an application support analyst. Many participants apply their expertise in their daily roles, further strengthening capabilities in delivering reliable, cutting-edge AI solutions for customers.
"At Leidos, upskilling is embedded in our culture," said Ron Keesing, chief AI officer. "Through initiatives like the AI Palooza challenge, we're building a workforce that's not only technically skilled but also curious and resilient - prepared to take on the complexities of the coming age of AI. The innovation and problem-solving we see are a testament to our team's dedication to growth."
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