AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.
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Coding for a cure: Sewickley Academy student’s research reveals key differences in genetic mutations
Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...
Evolution of intelligent automation enables enterprises to move beyond observing problems towards autonomously solving them ...
Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...
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