HAI Industry Briefs
January 2023
Sustainability and AI
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.
In the News
AI Experts Establish the “North Star” for Domestic Robotics Field
A Stanford AI team creates benchmarks for 100 everyday household tasks for robot assistants, creating a path for more...
How Bodies Get Smarts: Simulating the Evolution of Embodied Intelligence
An in silico playground for creatures that learn, mutate, and evolve establishes the importance of morphological...
Solving the Robot Off-Loading Problem
Scholars propose a way to help mobile robots choose when to communicate with the cloud without latency or lost data...
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Contact | Panos Madampolous, Marc Gough