In a recent paper, Stanford Graduate School of Business and University of Toronto researchers laid out a theoretical framework for companies to consider when designing and delegating decisio
To keep employees and customers safe from COVID-19, and adapt to the economic fallout created by the pandemic, established companies can take lessons from the world of startups. Success at the outset should be measured by one metric: customer engagement. To be adaptable, companies should quickly define problems, have a bias for action and be open to testing novel ideas. Link
In this Future of Everything podcast on diversity in engineering, Sheri Sheppard, professor, mechanical engineering, who got her start in engineering working at GM, Ford and Chrysler discusses the need for engineering curriculum to have an interdisciplinary approach and explore the "peopleness" in challenges engineers work to solve.
A team of researchers from Stanford, Facebook AI Research, and McGill University has developed a tool that measures how much electricity a machine learning project uses and how much that means in carbon emissions.
Are individuals owed explanations when AI makes decisions that affect their lives? Kate Vredenburgh, HAI and McCoy Family Center for Ethics and Society postdoctoral fellow (seen at left), discusses what it would mean to implement such a right. If AI developers know they will have to justify their work during implementation the hope is this would create incentives for building more morally justifiable algorithms. Link
In the face of COVID-19 to keep workers safe and continue operations, companies have ramped up remote work and are aggressively automating some operations and exploring machine learning (ML). Prof. Erik Brynjolfsson, director of Stanford HAI's Digital Economy Lab, along with scientists from CMU and MIT, have identified tasks most suitable for ML. While more tasks in lower wage jobs could be replaced by ML, no occupation is immune.
To understand what it takes for sustainability efforts to deliver lasting benefits, Stanford scientists looked through some of the biggest sustainability efforts from the past 25 years to understand what makes solutions hold at large scale. Strong multi-stakeholder, multi-level coalitions formed around ambitious objectives are needed to create transformation at scale.
ClearFlame, a recipient of The TomKat Center's Innovation Transfer Program which assists Stanford faculty, staff and students in commercializing breakthrough technologies and innovations in sustainability, is developing a high-temperature combustion system for trucks that run on renewable fuels. With the Stanford grads technology, about 10 percent of the engine components change and the engine prototypes have shown a 25 percent higher torque, meaning better engine performance. Link
Scientists at Stanford and SLAC identified which pairs of atoms in a catalyst nanoparticle are most active in a reaction that breaks down a harmful exhaust gas in catalytic converters. The most active particles contained the biggest proportion of one particular atomic configuration.
