After its victory on Jeopardy, IBM made a billion-dollar bet on Watson: cancer. But it turned out that diagnosing patients isn’t the same as answering questions on a game show. Gary Marcus talks to journalists, doctors and computer scientists to find out how and why IBM’s experiment failed to live up to expectations, then looks at a new AI project that is showing promise at treating one of the world’s leading causes of hospital death.  To learn more about listener data and our privacy practices visit: <a href="https://www.audacyinc.com/privacy-policy">https://www.audacyinc.com/privacy-policy</a> Learn more about your ad choices. Visit <a href="https://podcastchoices.com/adchoices">https://podcastchoices.com/adchoices</a>

After its victory on Jeopardy, IBM made a billion-dollar bet on Watson: cancer. But it turned out that diagnosing patients isn’t the same as answering questions on a game show. Gary Marcus talks to journalists, doctors and computer scientists to find out how and why IBM’s experiment failed to live up to expectations, then looks at a new AI project that is showing promise at treating one of the world’s leading causes of hospital death. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

After its victory on Jeopardy, IBM made a billion-dollar bet on&nbsp;Watson: cancer. But it turned out that diagnosing patients isn’t the same as answering questions on a game show. Gary Marcus talks to journalists, doctors and computer scientists to find out how and why IBM’s experiment failed to live up to expectations, then looks at a new AI project that is showing promise at treating one of the world’s leading causes of hospital death.&nbsp; To learn more about listener data and our privacy practices visit: <a href="https://www.audacyinc.com/privacy-policy" rel="noopener noreferrer">https://www.audacyinc.com/privacy-policy</a> Learn more about your ad choices. Visit <a href="https://podcastchoices.com/adchoices" rel="noopener noreferrer">https://podcastchoices.com/adchoices</a>

Watson Part 2: How IBM’s Big Bet Failed

Human beings are living longer than ever. Thanks to advances like vaccines, antibiotics, pasteurized milk and clean water, we’ve added more than 30 years to the average lifespan over the last 120 years. That’s more than was added in the previous 10,000 years combined. More recently, enormous progress has been made in our treatment of deadly conditions like heart disease and cancer, with mortality rates for each dropping by double digits. Now science is tackling a new challenge: Can we cure aging itself? In pursuit of this holy grail, longevity research has gone from a sleepy backwater to a multi billion dollar field, populated — yes — by plenty of hucksters, but also by Nobel laureates. The goal is to find out what causes us to age and what we can do to slow it down, or maybe even reverse it altogether. Could tweaking the right molecule buy us 20 more years, or are we maxed out? Can older brains be re-wired to function like younger brains? Do any so-called biohacks actually work? 
These are some of the questions we are tackling in this season of The World as You’ll Know It: The Future of Aging. With leading scientists in the fields of biology, neuroscience and medicine, we’ll look at the cutting-edge of aging research and what living longer could mean for all of us.

Technology

Human beings are living longer than ever. Thanks to advances like vaccines, antibiotics, pasteurized milk and clean water, we’ve added more than 30 years to the average lifespan over the last 120 years. That’s more than was added in the previous 10,000 years combined. More recently, enormous progress has been made in our treatment of deadly conditions like heart disease and cancer, with mortality rates for each dropping by double digits. Now science is tackling a new challenge: Can we cure aging itself? In pursuit of this holy grail, longevity research has gone from a sleepy backwater to a multi billion dollar field, populated — yes — by plenty of hucksters, but also by Nobel laureates. The goal is to find out what causes us to age and what we can do to slow it down, or maybe even reverse it altogether. Could tweaking the right molecule buy us 20 more years, or are we maxed out? Can older brains be re-wired to function like younger brains? Do any so-called biohacks actually work? These are some of the questions we are tackling in this season of The World as You’ll Know It: The Future of Aging. With leading scientists in the fields of biology, neuroscience and medicine, we’ll look at the cutting-edge of aging research and what living longer could mean for all of us.

Human beings are living longer than ever. Thanks to advances like vaccines, antibiotics, pasteurized milk and clean water, we’ve added more than 30 years to the average lifespan over the last 120 years. That’s more than was added in the previous 10,000 years combined. More recently, enormous progress has been made in our treatment of deadly conditions like heart disease and cancer, with mortality rates for each dropping by double digits. Now science is tackling a new challenge: Can we cure aging itself? In pursuit of this holy grail, longevity research has gone from a sleepy backwater to a multi billion dollar field, populated — yes — by plenty of hucksters, but also by Nobel laureates. The goal is to find out what causes us to age and what we can do to slow it down, or maybe even reverse it altogether. Could tweaking the right molecule buy us 20 more years, or are we maxed out? Can older brains be re-wired to function like younger brains? Do any so-called biohacks actually work?&nbsp;
These are some of the questions we are tackling in this season of The World as You’ll Know It: The Future of Aging. With leading scientists in the fields of biology, neuroscience and medicine, we’ll look at the cutting-edge of aging research and what living longer could mean for all of us.

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Watson Part 2: How IBM’s Big Bet Failed

Watson Part 2: How IBM’s Big Bet Failed

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