New technologies are making impacts in scientific research at the National Institute on Drug Abuse. Artificial intelligence and machine learning take center stage when it comes to drug and addiction data. NIDA Program Director for Big Data and Computational Science Susan Wright provides an outlook for tech on helping the agency better understand data and also how data is improving overall health care system operations to better treat patients. She also highlights a program that harnesses smart phones to deliver evidence-based addiction treatment interventions.
AI Boosts Data Ops in Drug Abuse Research
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Susan Wright Program Director for Big Data and Computational Science NIDA
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Energy Researchers Aim For Holistic Approach to AI Issues
A new center at the Oak Ridge National Laboratory is looking at under-researched areas of AI to better understand how to secure it.
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5 Predictions for AI in Government Technology
Federal agencies are setting plans in motion not only integrate artificial intelligence into their enterprises, but also ensuring the data and algorithms that power these systems are fair and ethical.
David Egts, field CTO for MuleSoft Global Public Sector at Salesforce, breaks down the five predictions he has for AI in 2024. Egts highlights ways government leaders can prepare their agency and workforce to innovate for resilience, augment teams with AI and automate predictive AI to augment generative AI.
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How Agencies are Upskilling the Workforce in AI
Federal officials are putting in place new training and education methods to ensure its overall workforce understands the technology.
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Building Better Data Governance Across FDA
The agency is using emerging technology to tackle its data challenges.
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