Stanford HAI

What is Intelligence? See definitions of Artificial Intelligence, Autonomous systems, Machine Learning (ML), Deep Learning, Foundation Models, Algorithm, Narrow AI and Human-Centered Artificial Intelligence.

On July 27, 2022, Congress passed the CHIPS and Science Act to spend $280 billion focused on boosting the United States’ scientific research and advanced semiconductor manufacturing capacity to boost U.S. competitiveness against China. This policy explainer describes the CHIPS and Science Act (hereafter, the “CHIPS Act”) and its impact on artificial intelligence (AI), including funding allocated to AI-related research and activities and provisions related to new AI capacitybuilding and development programs.

This industry brief focuses on AI research in healthcare and life sciences, with particular attention to its implications in a post COVID-19 world. Stanford HAI synthesize the latest from Stanford faculty across drug discovery, telehealth, ambient intelligence, operational excellence, medical imaging, augmented intelligence, and data and privacy. Read to learn more about how the adoption of AI may transform these applications.

AI will have a profound impact on work, business, and the economy. In this industry brief, we provide a sampling of key research both at HAI and more broadly at Stanford that can help inform the future of work. You will find researchers studying how AI can be used to help teams collaborate, improve workplace culture, promote employee well-being, assist humans in dangerous environments, and more.

The development of digital learning infrastructure and platforms was driven by innovative AI technologies and accelerated by pandemic-imposed needs. This industry brief provides a cross-section of key AI research – at HAI and across Stanford – that are reshaping how we learn. Discover how researchers are facilitating high-quality personalized learning at scale, creating novel systems augmenting teaching and assessments, designing intentional and inclusive learning environments, and more.

Environmental, social, and governance risks pose a threat to economies and human well-being around the world. However, we have the power to build a sustainable planet. Recent developments in AI are helping us see issues that were hard to identify before. As machine vision helps us see our world, we are able to detect issues, track them, and create targeted interventions. In this brief, we examine innovations by Stanford researchers that use AI and ML techniques to shift our world from one that depletes resources to one that preserves them for the future. For example, we can now track methane emissions across our energy and food systems, opening an avenue for policy formation and enforcement through near real-time tracing. AI enables knowledge-to-action and will play a key role in measuring and effectively achieving environmental, social, and governance goals.

Robots are becoming a core building block in engineering and healthcare applications, altering the way many industries operate, and improving quality of life for everyone. With AI, robots are further given the ability to learn and adapt so that they can work collaboratively alongside humans and other robots in real-world environments. This industry brief provides a cross-section of key research – at HAI and across Stanford – that leverages AI methods into new algorithms for human robot interaction and robot navigation. Discover how researchers are designing intelligent robots that learn and adapt to human demonstration, and how they could be used to disrupt and create markets in a wide range of industries including manufacturing, healthcare, autonomous vehicles, and many more.