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PODCAST

The Future of Everything

Stanford Engineering

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

science medicine

All Episodes

00:27:26

What makes a surgeon great?

The Future of Everything ·

2022/04/15

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 physicians accomplish the unique choreography of surgery. In this episode of Stanford Engineering’s The

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00:27:21

How social media can help gauge societal health

The Future of Everything ·

2022/04/07

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. In this episode of Stanford Engineering’s The Future of Everything, computational social scientist

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00:27:44

What happens when computers can write like humans

The Future of Everything ·

2022/04/04

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’s more, it can sometimes be even more effective than humans at conveying certain messages. In this

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00:27:52

The impact of income gaps on children’s health

The Future of Everything ·

2022/03/23

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 the United States has led to vastly different prevalence rates for health conditions between low- and

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00:27:43

The crucial role of data compression

The Future of Everything ·

2022/03/13

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, including, potentially, within biological molecules.In this episode of Stanford Engineering’s The Future of

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00:27:30

Regenerating and rejuvenating human tissues

The Future of Everything ·

2022/03/12

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, discuss how biomaterials created in a lab can be injected into wound sites to enable tissue regeneration or

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00:27:53

Why AI must embody the values of its users

The Future of Everything ·

2022/02/22

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 implement a more trustworthy AI. Learn about his work in this area, and his particular interest in AI and

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00:28:01

A more thoughtful approach to technology can improve...

The Future of Everything ·

2022/02/18

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 expert on integrated care – the development of tools, technologies, and processes designed to improve the

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00:27:25

How do you build a better robot? By understanding...

The Future of Everything ·

2022/02/10

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 computer scientist Dorsa Sadigh is exploring how to train robots to better understand humans – and how to give

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00:27:19

James Zou: Trust is AI’s most critical contribution...

The Future of Everything ·

2022/01/20

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, shaped basic research and sped the development of new drugs. Among his most important contributions, Zou says,

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00:27:17

Johan Ugander: How misinformation spreads faster than...

The Future of Everything ·

2022/01/07

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, more important, suggests some novel strategies for preventing the spread of misinformation. False stories,

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00:27:35

Martin Fischer: AI and virtual reality can help...

The Future of Everything ·

2022/01/06

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 grown frustrated with the present state of his profession and decided to change its trajectory using

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00:27:39

Gill Bejerano: How cryptogenomics advances both...

The Future of Everything ·

2022/01/05

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 expert in cryptogenomics, a discipline that marries the fields of cryptography and genomics to essentially

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00:29:00

Cynthia Lee: How to teach computer science

The Future of Everything ·

2021/12/13

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 that mindset from a fixed and rigid outlook to one that is more open and welcoming of diverse backgrounds

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00:28:00

Chelsea Finn: How to make artificial intelligence...

The Future of Everything ·

2021/11/15

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 training it to look at a diversity of problems to divine the common structure among those problems. The result

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00:27:46

Kayvon Fatahalian: How the pandemic changed the...

The Future of Everything ·

2021/11/03

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 ones in improving certain aspects of our everyday lives. His job as a computer scientist is to make those

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00:28:00

Kuang Xu: How to make (and keep) genetic data private

The Future of Everything ·

2021/10/18

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 much the same code as one who did.Today’s guest, Kuang Xu, is an expert in how genetic information can

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00:28:01

Eric Appel: Gels are changing the face of engineering...

The Future of Everything ·

2021/10/04

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 talk about his research.Appel is an expert in gels, those wiggly, jiggly materials that aren’t quite

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00:28:00

Lianne Kurina: How controlling confounders makes...

The Future of Everything ·

2021/10/01

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 factor but one— the vaccinated vs. the unvaccinated, for instance. In the case of COVID-19 vaccinations,

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00:27:55

Priyanka Raina: How computer chips get speedier...

The Future of Everything ·

2021/09/18

For decades, the general-purpose central processing unit—the CPU—has been the workhorse of the computer industry. It could handle any task—literally—even if most of those capabilities were unnecessary.This model was all well and good as chips grew smaller, faster and more efficient by the day, but less so as the pace of progress has slowed, says electrical engineer Priyanka Raina, an expert in chip design. Raina says that, to keep chips on their ever-improving trajectory, chip makers have shifted

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