The Future of Everything

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 episode of Stanford Engineering’s The Future of Everything, Jeff Hancock, a professor of communication at Stanford, explores this phenomenon and its positive and negative implications for how we communicate and how we understand our interactions with one another and the world. Learn more with Hancock and host Stanford Professor Russ Altman. Listen and subscribe here. Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

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 high-income families, says Stanford pediatrician Lisa Chamberlain. And COVID-19, she says, has put a spotlight on many of the health challenges associated with these wealth disparities. In this episode of Stanford Engineering’s The Future of Everything, Chamberlain joins host Professor Russ Altman to discusses these issues, and how telehealth might help overcome some of the burgeoning challenges in pediatric health. Listen and subscribe here. Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

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 Everything, Stanford electrical engineer Tsachy Weissman discusses with host Professor Russ Altman the challenges associated with storing our ever-growing mountains of digital data – and how they can be addressed. Listen and subscribe here. Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

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 rejuvenation by modulating stem cells, vasculature, or immune responses.They also discuss the potential of exploiting such biomaterials to create 3D cancer models to facilitate discovery of novel drugs with reduced time and cost. Listen and subscribe here. Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

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 healthcare, on this episode of Stanford Engineering’s The Future of Everything, with host Professor Russ Altman. Listen and subscribe here. Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

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 interactions among patients, clinicians, and other providers to lower costs and improve health outcomes.In this episode of Stanford Engineering’s The Future of Everything, she explains how new technology, and its improved integration into the healthcare system, can enhance practitioners’ ability to care for patients. Learn more with host Professor Russ Altman. Listen and subscribe here. Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

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 humans the skills to more seamlessly work with robots.Learn more on this episode of Stanford Engineering’s The Future of Everything, with host Professor Russ Altman. Listen and subscribe  Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

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, are efforts to expose and overcome bias in the data and algorithms.His latest project, Pathfinder, uses anonymized, real-world medical records to allow researchers to conduct synthetic clinical trials on fictional (but realistic) patients, as Zou explains in this episode of Stanford Engineering’s The Future of Everything podcast with host Russ Altman. Listen and subscribe here. Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

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, he says, are more “infectious,” with wide-ranging consequences for how they spread. Strategies to slow or restrict this infectiousness range from increasing digital literacy to asking potential sharers to consider the factual accuracy of a story they are about to share. Ugander has also started to take his research in a new direction, criminal justice, working to make sense of the complex data records that a Stanford team has collected to understand California’s parole system, as he tells listeners to this episode of Stanford Engineering’s The Future of Everything podcast with host Russ Altman. Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

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 artificial intelligence and virtual reality to redefine what construction will look like in the future. It’s an effort he hopes will unite the profession in creating more efficient, safer and more livable homes, buildings, airports, bridges and more. Fischer muses all about the future of construction in this episode of Stanford Engineering’s The Future of Everything podcast with host Russ Altman. Listen and subscribe here. Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook