Stanford Engineering
The Future of Everything
Host Russ Altman, a professor of bioengineering, genetics, and medicine at Stanford, is your guide to the latest science and engineering breakthroughs. Join Russ and his guests as they explore cutting-edge advances that are shaping the future of everything from AI to health and renewable energy. Along the way, “The Future of Everything” delves into ethical implications to give listeners a well-rounded understanding of how new technologies and discoveries will impact society. Whether you’re a researcher, a student, or simply curious about what’s on the horizon, tune in to stay up-to-date on the...
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Stanford Engineering
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Podcast website
Latest episode
Jul 10, 2026
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Episodes
Computational modeling can help understand Alzheimer’s disease 14.06.2022 27:19
Physicians diagnose Alzheimer’s disease with tests that measure memory loss and behavioral change. But many years before these symptoms appear, the disease is changing the brain, leading to the buildup of misfolded proteins and brain shrinkage that cause cognitive decline. In this episode of Stanford Engineering’s The Future of Everything, Stanford mechanical engineer Ellen Kuhl explains how she’s...
Data is transforming our understanding of natural disasters 14.06.2022 27:20
Humans have been trying to predict when earthquakes will happen for centuries, with little success, by developing earthquake detectors and by wondering if unusual animal behavior could be a sign of an incoming temblor. In this episode of Stanford Engineering’s The Future of Everything, Eric Dunham , a geophysicist at Stanford University, explains that while we’re still unable to predict when earth...
How to develop ever better computer chips 25.05.2022 27:00
Computer chips are everywhere: your cellphone, your car, even your refrigerator. And they’re essential to enabling advances in artificial intelligence, autonomous vehicles, and faster and better computers -- and to solving global challenges such as climate change. The omnipresence of this foundational technology has been growing for decades, but the pandemic accelerated the digital transformation...
Training the next generation of entrepreneurs 25.05.2022 27:24
Search online and you’ll find lists of all the skills entrepreneurs should have - among them are imagination, creativity, innovation, entrepreneurship. But are entrepreneurs born with these relevant skills, or can they be taught? In this episode of Stanford Engineering’s The Future of Everything, Tina Seelig , professor of the practice in the Department of Management Science and Engineering at Sta...
How to Fight Climate Change 17.05.2022 27:32
The consequences of climate change have already been devastating: wildfires, drought, coastal flooding, and increased temperatures, among them. And there are massive economic, societal, and geopolitical and security costs as well. It's no wonder that many people may feel the situation at this point is hopeless. But in this episode of the Future of Everything, Stanford’s Chris Field tells host and...
The physics of gel-like substances 05.05.2022 27:34
The vast majority of substances are neither liquid, solid, nor gas – but an alternative form that shares characteristics of liquids and gases. Among them are gels, glasses, and colloidal suspensions, and they’re an essential part of everyday products like toothpaste, paint, hair products, and even windows. Stanford chemical engineer Roseanna Zia is an expert on the gel-like substance known as coll...
What makes a surgeon great? 15.04.2022 27:26
Conducting a surgery is one of the most complex tasks an individual can do — but how do you recognize the difference between the highly skilled surgeons performing at the top of their game and those still honing their techniques? With the help of wearable sensors, motion tracking and video, physicians can now watch surgeons in action, quantify their movements, and determine how highly skilled phys...
How social media can help gauge societal health 07.04.2022 27:20
Are U.S. adults happy? Sad? Depressed? One can answer these questions by calling thousands of people and surveying their psychological state, a strategy that’s both costly and time-consuming. But with the help of machine learning and artificial intelligence, you can also measure a population’s well-being by turning to social media platforms and tracking what millions of people are talking about. ...
What happens when computers can write like humans 04.04.2022 27:44
Start an email with “I hope” and before you can type the next word, the program will suggest you complete it with “all is well.” You may not have realized it, but this is AI-generated text. In the past several years, this technology has advanced beyond completing sentences in emails: It can now respond to others’ emails, and write essays, hip-hop songs, public health messages, and much more. What’...
The impact of income gaps on children’s health 23.03.2022 27:51
The world has made remarkable gains in pediatric medicine and public health over the past several generations. The average American child of the 21st century has access to clean water and milk, fully functioning sewage systems, and antibiotics, vaccines, and other medicines. Result: Child mortality rates have declined dramatically over the past century. At the same time, a widening income gap in t...
The crucial role of data compression 13.03.2022 27:43
It may not be immediately obvious, but there are huge financial, environmental and security costs associated with storing all the selfies, videos, documents and other digital assets the world is generating. One way to address this issue is by developing better compression algorithms that can represent the data more succinctly. Another is by creating new ways of storing the information itself, incl...
Regenerating and rejuvenating human tissues 12.03.2022 27:29
Children have an amazing capacity for healing after injury. Break a leg, the bone grows back; cut a finger, the skin heals. But as we age, most tissues no longer heal easily, and tissue loss is unavoidable due to aging, degenerative diseases such as arthritis, and cancer. In this episode of Stanford Engineering’s The Future of Everything, Fan Yang and host and fellow bioengineer Russ Altman, discu...
Why AI must embody the values of its users 22.02.2022 27:53
You might not realize it, but AI-driven systems are integrated into virtually every aspect of our lives. But how can we be certain the values AI systems are striving for reflect what we want for ourselves and for society? And how can scientists and engineers do a better job of increasing people’s trust in AI? Stanford computer scientist Carlos Guestrin is a leading voice on how to advance and impl...
A more thoughtful approach to technology can improve medical care 18.02.2022 28:00
Anyone who’s ever been to a hospital knows that the healthcare system is extremely complex. Every patient has their own challenges – and they will typically see multiple physicians, nurses, pharmacists, and other healthcare practitioners, and come into contact with a slew of medical technologies, protocols, and billing and insurance systems. Sara Singer, a Stanford professor of medicine, is an exp...
How do you build a better robot? By understanding people. 10.02.2022 27:25
Whether it’s autonomous vehicles or assistive technology in healthcare that can do things like help the elderly do core tasks like feeding themselves, some of the most challenging problems in the field of robotics involve how robots interact with humans, with all of our many complexities. Drawing from fields as varied as cognitive neuroscience, psychology, and behavioral economics, Stanford comput...
James Zou: Trust is AI’s most critical contribution to health care 20.01.2022 27:18
Among the many areas James Zou might have chosen to apply his considerable knowledge of artificial intelligence, he opted for health care. It was the most interesting, the most complex and the most impactful area of study. In short, it was the most exciting outlet for his expertise. Since that epiphany, Zou has gone on to publish influential studies that have improved the patient experience, shape...
Johan Ugander: How misinformation spreads faster than truth 07.01.2022 27:16
Stanford professor Johan Ugander is an expert in making sense of messy data. Lately he’s been working to tell fact from fiction online, as news stories spread on social media. He comes at the question from a unique angle, using machine learning to study the differing patterns in how both types of information spread (or don’t). In so doing, Ugander has come to some interesting conclusions and,...
Martin Fischer: AI and virtual reality can help society build better 06.01.2022 27:35
For a profession that has existed essentially since the beginning of human civilization, few people fully appreciate the importance of construction in our everyday lives, but Martin Fischer does. To build the key infrastructure of society, he says, requires intimate understanding of human nature, the environment, the materials and the ever-evolving techniques of building things. Fischer has grow...
Gill Bejerano: How cryptogenomics advances both science and privacy 05.01.2022 27:39
Much of what the world knows about genetic diseases is learned by comparing the DNA of people with a shared disease against the DNA of otherwise healthy people to learn where the differences lie. This is all well and good except that, written into all that DNA, is a lot of other information that the subjects would rather keep private. And that’s where Gill Bejerano enters the scene. He’s an expe...
Cynthia Lee: How to teach computer science 13.12.2021 28:59
As the field of computer science has evolved over the last half century, so too has the way in which computer science is taught and to whom it is taught. Stanford lecturer Cynthia Lee says she is encouraged by the diversity she sees as she looks out over her classroom. But that wasn’t always the case, particularly when she, a woman, was in college. Lee has since dedicated her career to changing...
Chelsea Finn: How to make artificial intelligence more meta 15.11.2021 28:00
In one of computer science’s more meta moments, professor Chelsea Finn created an AI algorithm to evaluate the coding projects of her students. The AI model reads and analyzes code, spot flaws and gives feedback to the students. Computers learning about learning—it’s so meta that Finn calls it “meta learning.” Finn says the field should forgo training AI for highly specific tasks in favor of train...
Kayvon Fatahalian: How the pandemic changed the virtual world 03.11.2021 27:45
For experts in digital graphics and visual perception, like computer scientist Kayvon Fatahalian , the recent pandemic has been a call to arms. Fatahalian says he and others in the field felt an urgent responsibility to harness their background in computer graphics and interactive techniques to improve life for people across the globe. He says new, virtual tools have proved better than past, real...
Kuang Xu: How to make (and keep) genetic data private 18.10.2021 27:59
One underappreciated fact about the explosion in genetic databases, like consumer sites that provide information about ancestry and health, is that they unlock valuable insights not only into an individual’s past and future, but also for that individual’s entire family. This raises serious concerns about privacy for people who have never submitted their genetic information for analysis, yet share...
Eric Appel: Gels are changing the face of engineering ... and medicine 04.10.2021 28:00
Readers of Eric Appel’s academic profile will note appointments in materials science, bioengineering and pediatrics, as well as fellowship appointments in the ChEM-H institute for human health research and the Woods Institute for the Environment. While the breadth of these appointments does not leap to mind as being particularly consistent, the connections quickly emerge for those who hear Appel t...
Lianne Kurina: How controlling confounders makes better epidemiology 01.10.2021 27:59
As the world has learned through the recent pandemic, epidemiological studies can be complicated by many unanticipated factors. Lianne Kurina is an expert in the design of epidemiological studies who says that the key to greater confidence is better design. The gold standard, she says, is the randomized controlled trial—a study that compares groups that are essentially identical by every apparent...
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