Highlights from the Leidos "Generative AI Palooza"
Generative AI, one of the hottest technologies within Leidos, was on display at “Generative AI Palooza,” an event hosted recently at Leidos Global Headquarters in Reston, Va. showcasing some of the company’s latest research in the field.
In his opening remarks, Leidos CTO Jim Carlini emphasized the vast opportunity he sees to harness the power of generative AI for Leidos customers.
“Generative AI is moving fast,” says Carlini. “I believe this technology can impact all of our markets, in one way or another, in a big way. What’s exciting is the enormous number of applications we could bring to bear because of our scale, our AI accelerator and our heritage over the last 40 years in so many related fields.”
During the event, Leidos technologists presented on a number of high-impact generative AI potential use cases:
- A Leidos systems engineer shared his research on AI-assisted software development. His study showed that junior software developers completed assignments significantly faster when they used generative AI to help them do their job.
- A Leidos senior natural language processing scientist shared her novel approach which uses large language models to accelerate systems engineering models in the healthcare domain. Her study found that systems engineers with access to generative AI created more complete and satisfactory models with fewer errors.
- A Leidos solution architect shared his discoveries into how large language models might transform combat readiness by helping weary soldiers retrieve accurate data and think through situations on deployment.
- A Leidos research scientist shared his unique application of large language models to tabular data which presents unique challenges not found with language and text-based data.
- A Leidos software engineer demonstrated multimodal generative AI with Spot™, a modified industrial robot that responds to natural language voice commands.
Ron Keesing, Leidos Sr. Vice President for Technology Innovation, said the dramatic pace of change in generative AI makes the technology difficult to roadmap, but that the company is busy preparing for the disruption to come.
“At Leidos, we’ve understood for a long time that AI is about the relationship between humans and machines,” says Keesing. “As we showcased at Generative AI Palooza, we’re working hard to effectively insert generative AI into solutions that allow humans and machines to work together to solve some really important problems.”
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