Where What If Becomes What's Next

Carnegie Mellon University
Podcast Where What If Becomes What's Next

What if Artificial Intelligence can transform our world for the betterment of humankind? Introducing WHERE WHAT IF BECOMES WHAT’S NEXT, a new podcast from Carnegie Mellon University. In Season One, we explore one of the most revolutionary developments in human history — Artificial Intelligence. Every other Thursday we’ll introduce you to the world’s top experts who work at the forefront of where AI is today, and who never stop asking how AI can truly benefit humankind. Subscribe so that you’ll never miss an episode. For more info https://ai.cmu.edu/podcast

  1. HÁ 15 H

    Mind to Machine Part 1: A Brief History of AI

    If you think that Artificial Intelligence was recently invented, think again. The roots of AI go back decades, centuries, even to ancient mythology.  So how did AI go from myth to reality? In this, the first of a special two-part episode, we present a brief history of AI.  We start with the first imagined robot in ancient Greece, fast-forward to Alan Turing’s groundbreaking work in computer science and then to the seminal 1956 summer workshop at Dartmouth College where the term “artificial intelligence” was coined. At that workshop, two Carnegie Mellon University professors, Herbert A. Simon and Allen Newell, presented what is considered the first artificial intelligence program and the “birth” of the AI industry. We’ll hear from a few of the other early AI pioneers at CMU as they share personal stories and milestones in AI and robot development while discussing the societal impact of AI. In part two, our season finale, we look to the future… and hear from these pioneers and more about where they think – and hope – What’s Next for AI, while discussing the need for guardrails and ethics around AI development. Joining us are: Tom Mitchell, CMU Founders University Professor; Dr. Raj Reddy, Moza Bint Nasser University Professor of Computer Science and Robotics in the School of Computer Science at CMU; and Dr. Manuela Veloso, the head of JP Morgan AI Research and the Herbert A. Simon University Professor Emeritus in the School of Computer Science at CMU.

    34min
  2. 29 DE AGO.

    AI Care Part 2: Companion Robots Help the Elderly Feel Less Lonely

    What if a robot could be a compassionate companion - an antidote to loneliness as we age – and in some cases – help those suffering from dementia? Loneliness among the elderly has become something of an epidemic.  According to a recent national survey, about 37 % of American adults aged 50 to 80 experienced loneliness, and about 34% of respondents said they felt socially isolated. Companion robots have the potential to alleviate loneliness and improve the well-being of these older adults as well as help those suffering from memory loss from dementia or Alzheimer’s. They can converse about daily activities, connect to new friends around the country, lead workout sessions, suggest and place calls to loved ones, provide gentle reminders for taking medicines, play music, suggest what's for dinner, and even host live bingo games.  In this episode, which is Part 2 of a two-part episode on robots and health care, we discuss the challenges and opportunities for developing companion robots to help the elderly with loneliness.  We also meet ElliQ, an AI-powered companion robot that is already being used in thousands of older adults' homes. The future of companion robots may involve using softbotic technologies to create anthropomorphic features and lifelike physical interaction. Joining us in part two are four experts in robotics and the elderly: Carmel Majidi, Professor of Mechanical Engineering at Carnegie Mellon University; Selma Šabanović, Professor of Informatics and Cognitive Science and Director of R-House Lab at Indiana University Bloomington; David Crandall, Professor of Computer Sciences and Director of the Luddy Artificial Intelligence Center at Indiana University Bloomington; and Assaf Gad, VP Strategy and GM for Intuition Robotics.

    23min
  3. 18 DE JUL.

    AI and Agriculture: How to Pick an Apple

    What does it take to teach a robot to pick an apple? Let’s find out.  In today’s episode, we will explore how AI technologies are helping agriculture solve some of the world’s biggest problems – from world hunger to protecting the environment to a labor shortage down on the farm.   Robots, drones and machine learning are being used by farmers around the world to monitor crop health, soil conditions and weather patterns -- so they can optimize the yield from their crops while conserving scarce resources such as water.  AI is protecting the environment when robots identify weeds and then eliminate them one at a time – a precision that dramatically reduces broader usage of potentially harmful chemicals and herbicides.  AI-powered self-driving tractors and robots are performing tasks such as watering, spraying and harvesting crops  to help farmers grow food from fields that might otherwise go untended due to a worldwide labor shortage.  Drones equipped with high-resolution cameras are monitoring crops for real-time signs of disease and pest infestations, thereby securing the safety of food for generations to come.  Across the USA and around the planet, AI is quickly becoming the newest tool in the farmer’s toolshed.   Joining us are four experts in AI and agriculture: George Kantor is a research professor in the Robotics Institute at Carnegie Mellon University.  Pat Schnable is a distinguished professor at Iowa State University, director of its Plant Sciences Instituten and a co-founder of an ag-tech startup EnGeniusAg.  Abhi Silwal is a Senior Project Scientist at CMU’s Robotics Institute. Terry Bates is the Director of the Cornell Lake Erie Research and Extension Lab, a Senior Research Associate at Cornell’s School of Integrated Plant Sciences and the director of the Efficient Vineyard Project.

    23min
  4. 20 DE JUN.

    Robots to the Rescue: AI Revolutionizes Disaster Response

    What if artificial intelligence and robotics – including  drones – are used to revolutionize disaster response? It's already happening. The use of drones – particularly small consumer drones – has become standard in disaster response due to their affordability and ease of use. AI is used to enhance disaster response by predicting natural weather disasters and helping first responders make better decisions about resource allocation and evacuation routes. AI can also analyze data from disasters to create predictive models and identify vulnerabilities. Ethical considerations include accountability for decision-making and the potential for biases in AI algorithms. The future of AI in disaster response includes improved decision-making algorithms for robots and drones and faster response times. Joining us are two disaster response experts: Robin Murphy is a professor of computer science and engineering at Texas A&M University and leads the Texas A&M team in Carnegie Mellon’s AI Institute for Societal Decision Making. Robin is considered to be the founder of and the leading practitioner in disaster robotics. Robin has been an active field responder, using robots, drones, and AI in more than 30 disasters in five countries. Aarti Singh is a professor in the machine learning department at Carnegie Mellon University and the director of the National Science Foundation's AI Institute for Societal Decision Making at Carnegie Mellon.

    21min

Sobre

What if Artificial Intelligence can transform our world for the betterment of humankind? Introducing WHERE WHAT IF BECOMES WHAT’S NEXT, a new podcast from Carnegie Mellon University. In Season One, we explore one of the most revolutionary developments in human history — Artificial Intelligence. Every other Thursday we’ll introduce you to the world’s top experts who work at the forefront of where AI is today, and who never stop asking how AI can truly benefit humankind. Subscribe so that you’ll never miss an episode. For more info https://ai.cmu.edu/podcast

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