Artificial Intelligence
Artificial intelligence (AI) enables both computers and machines to simulate human learning, comprehension, problem solving, decision-making, creativity and autonomy. It includes generative AI tools and machine learning. Federal agencies are using AI to improve operational efficiency and effectiveness.
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AI Drives New Efficiencies at USPTO
The agency’s AI efforts are progressing to include new capabilities in image search using machine-learning and automation.
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Removing Silos to Combat Fraud, Waste in Veteran Benefits
The agency has encouraged cross-departmental collaboration and adoption of best practices to combat misuse of benefits.
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VA Targeting Diversity in Genomics Research
The agency's Million Veteran Program is advancing precision care and treatment for underrepresented populations.
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NASA Focused on Cultural Transformation to Launch AIOps
Data readiness and cultural change are key to a successful AI program.
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Ethical AI and the Role of Trust, Equity, Standards
Medical data experts argue for components behind ethical AI and data use.
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Equitable AI Requires Knowledge Sharing, Safeguards Against Bias
Federal AI adoption emphasizes collaboration and efforts to develop objective data models.
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AI Helps Identify Data Gaps, Improve Interoperability at DHS
ICE and NCITE, a DHS S&T COE, highlighted the ways AI can support DHS mission integrity.
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AI is Streamlining Federal Procurement Strategies
Tech leaders across DHS and IRS are integrating AI to streamline processes and uncover new efficiencies.
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PIFs Drive Innovation Across Federal Health Sector
The program is providing opportunities for innovators to bring transformational processes and emerging technology to government agencies.
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HHS CDO Touts Collaboration Goals for Data Sharing
Data-driven platforms are pushing new solutions and remedying the effects of the COVID-19 pandemic.
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NIH's New AI Initiative Aims to Improve Integrative, Biomedical Research
NCCIH outlines the potential Brain2AI has for biomedical and behavioral research.
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NIBIB Explores AI, Digital Twins to Tailor Patient Care
Developing biomedical technologies requires strong strategies in data analytics and innovations with tools and imaging.
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