SRI International
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SRI spins off AI-powered drug discovery platform Synfini, Inc.
Synfini to commercialize and scale automated compound testing for rapid drug production.
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Human Body Model Based ID using Shape and Pose Parameters
We present a Human Body model-based IDentification system (HMID) system that is jointly trained for shape, pose, and biometric identification.
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Ink-borne “chiplets” could lead to printable displays, electronics, and more
Researchers hope to lower the costs and barriers to advanced manufacturing with a new chiplet-filled ink that can be printed into integrated systems.
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Identification and characterization of screen use trajectories from late childhood to adolescence in a US-population based cohort study
This study will identify and characterize the subgroups of adolescents sharing similar trajectories of screen use from childhood to adolescence.
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Biological sex influences sleep phenotype in mice experiencing spontaneous opioid withdrawal
We describe here a model of opioid withdrawal in mice that resembles the sleep phenotype characteristic of withdrawal in humans.
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New welding helmet from SRI delivers crisp high definition, 3D, real-time views
SRI has licensed the technology to Kawada Technologies Inc. to commercialize the helmet around the world.
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Karan Sikka: Creating tools to help improve media discourse
Sikka brings expertise in deep learning and multi-model learning to improve how social media operates, including how we use and communicate on it.
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Carbon Dioxide Removal Innovation Workshop
SRI International and SLAC National Accelerator Laboratory are hosting a Carbon Dioxide Removal (CDR) Innovation Workshop
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Chloe Duckworth: Using voice tech to decipher the emotion behind the words
The CEO and co-founder of Valence Vibrations is leveraging technology from SRI to help people better read the room.
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A New Approach to Supporting the Quality of Early Care and Education Programs in Arkansas: Case Studies of Array
Case studies of early care and education programs participating in Arkansas’s Array initiative describe the benefits of proactively providing entire program staff with social-emotional-focused professional development that is tailored to the program’s needs.
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Reducing Exclusionary Discipline in Early Care and Education Programs: An Examination of the Arkansas Model
Survey findings from early childhood program directors and teachers provide insight into the implementation of Arkansas’s policy and supports designed to prevent suspension and expulsion in early care and education settings.
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SayNav: Grounding Large Language Models to Navigation in New Environments
SayNav is a novel planning framework, that leverages human knowledge from Large Language Models (LLMs) to dynamically generate step-by-step instructions for autonomous agents to complicated navigation tasks in unknown large-scale environments. It also enables efficient generalization of learning to navigate from simulation to real novel environments.