Podcasts about Hod Lipson

Robots that can smile in synchrony with people, and what ends up in the letters section First on this week's show, a robot that can predict your smile. Hod Lipson, a roboticist and professor at Columbia University, joins host Sarah Crespi to discuss how mirrors can help robots learn to make facial expressions and eventually improve robot nonverbal communication.   Next, we have Margaret Handley, a professor in the department of epidemiology and biostatistics and medicine at the University of California San Francisco. She shares a letter she wrote to Science about how her past, her family, and a rare instrument relate to her current career focus on public health and homelessness. Letters Editor Jennifer Sills also weighs in with the kinds of letters people write into the magazine. Other Past as Prologue letters: A new frontier for mi familia by Raven Delfina Otero-Symphony A uranium miner's daughter by Tanya J. Gallegos Embracing questions after my father's murder by Jacquelyn J. Cragg A family's pride in educated daughters by Qura Tul Ain One person's trash: Another's treasured education by Xiangkun Elvis Cao   This week's episode was produced with help from Podigy.   About the Science Podcast   Authors: Sarah Crespi; Jennifer Sills   Episode page: https://www.science.org/doi/10.1126/science.zy9w2u0   About the Science Podcast: https://www.science.org/content/page/about-science-podcast

Robots that can smile in synchrony with people, and what ends up in the letters section First on this week's show, a robot that can predict your smile. Hod Lipson, a roboticist and professor at Columbia University, joins host Sarah Crespi to discuss how mirrors can help robots learn to make facial expressions and eventually improve robot nonverbal communication.   Next, we have Margaret Handley, a professor in the department of epidemiology and biostatistics and medicine at the University of California San Francisco. She shares a letter she wrote to Science about how her past, her family, and a rare instrument relate to her current career focus on public health and homelessness. Letters Editor Jennifer Sills also weighs in with the kinds of letters people write into the magazine. Other Past as Prologue letters: A new frontier for mi familia by Raven Delfina Otero-Symphony A uranium miner's daughter by Tanya J. Gallegos Embracing questions after my father's murder by Jacquelyn J. Cragg A family's pride in educated daughters by Qura Tul Ain One person's trash: Another's treasured education by Xiangkun Elvis Cao   This week's episode was produced with help from Podigy.   About the Science Podcast   Authors: Sarah Crespi; Jennifer Sills   Episode page: https://www.science.org/doi/10.1126/science.zy9w2u0   About the Science Podcast: https://www.science.org/content/page/about-science-podcast

Inteligencia Artificial cuestiona la unicidad de las huellas dactilares, revelando hallazgos sorprendentes en biometría forenseLa reciente investigación de la Universidad de Columbia, liderada por un estudiante de pregrado, ha sacudido los fundamentos de la biometría forense. Utilizando inteligencia artificial, el equipo ha desafiado la creencia de que cada huella dactilar es única. Analizando 60,000 huellas, el algoritmo mostró que las huellas de distintos dedos de una persona pueden ser similares, con una precisión de hasta el 90%. Este descubrimiento, publicado en "Science Advances", podría revolucionar tanto la identificación biométrica como las investigaciones forenses.¿Pero cómo afecta este descubrimiento a la justicia y la seguridad?Durante décadas, las huellas dactilares han sido la piedra angular en la identificación forense y personal. La investigación liderada por Gabe Guo, un estudiante de último año de pregrado en Ingeniería de Columbia, ha revolucionado la biometría forense. Sin experiencia previa en forenses, Guo y su equipo accedieron a una base de datos pública del gobierno de EE. UU. con 60,000 huellas dactilares. Estas huellas fueron analizadas por pares mediante un sistema basado en inteligencia artificial, conocido como red contrastiva profunda. Las huellas, algunas pertenecientes a diferentes dedos de la misma persona y otras a personas distintas, revelaron resultados sorprendentes. Con el tiempo, la precisión del sistema AI para identificar huellas de la misma persona aumentó significativamente, alcanzando un 77% para pares individuales y aún mayor con múltiples pares, mejorando potencialmente la eficiencia forense actual más de diez veces. Este proyecto, una colaboración entre el laboratorio de Máquinas Creativas de Hod Lipson en Columbia Engineering y el laboratorio de Sensores y Computación Integrados de Wenyao Xu en la Universidad de Buffalo, SUNY.Este hallazgo plantea cuestiones críticas en el ámbito de la justicia penal. Por décadas, las huellas han sido clave en juicios y investigaciones criminales. Si las huellas de una misma persona pueden confundirse, ¿cómo impactará esto en los casos pasados y futuros? La incertidumbre en torno a la precisión de la AI y su aplicación práctica añade complejidad al debate.Aunque este descubrimiento desafía conceptos arraigados, también abre nuevas posibilidades para resolver casos fríos y evitar condenas erróneas. La investigación subraya la necesidad de reevaluar métodos forenses y adaptar la tecnología AI para mejorar la precisión y justicia en las investigaciones.

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This and all episodes at: https://aiandyou.net/ .   Robots - embedded AI - haven't gotten the adulation that large language models have received for their recent breakthroughs, but when they do, it will be thanks in large part to Hod Lipson, professor of Mechanical Engineering at Columbia University, where he directs the Creative Machines Lab, which pioneers new ways to make machines that create, and machines that are creative. He received both DARPA and NSF faculty awards as well as being named Esquire magazine's “Best & Brightest”, and one of Forbes' “Top 7 Data scientists in the world.” His TED talk on building robots that are self-aware is one of the most viewed on AI, and in January 2023 he was centrally featured by the New York Times in their piece “What's ahead for AI.” He is co-author of the award-winning books “Fabricated: The New World of 3D printing” and “Driverless: Intelligent cars and the road ahead”. Hod is a deeply passionate communicator who is driven to help people understand what's going on with #AI and #robotics. In the conclusion of the interview we talk about robot cannibals, self-replicating robots, novel form factors for robots, the impact of #ChatGPT on higher education, and more of Hod's expansive vision for the future. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.        

This and all episodes at: https://aiandyou.net/ .   Robots - embedded AI - haven't gotten the adulation that large language models have received for their recent breakthroughs, but when they do, it will be thanks in large part to Hod Lipson, professor of Mechanical Engineering at Columbia University, where he directs the Creative Machines Lab, which pioneers new ways to make machines that create, and machines that are creative. He received both DARPA and NSF faculty awards as well as being named Esquire magazine's “Best & Brightest”, and one of Forbes' “Top 7 Data scientists in the world.” His TED talk on building robots that are self-aware is one of the most viewed on AI, and in January 2023 he was centrally featured by the New York Times in their piece “What's ahead for AI.” He is co-author of the award-winning books “Fabricated: The New World of 3D printing” and “Driverless: Intelligent cars and the road ahead”. Hod is a deeply passionate communicator who is driven to help people understand what's going on with #AI and #robotics. In part 1 we talk about our future with #robots that might be creative, self-aware, sentient, or generally intelligent. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.        

In this week's episode, David is joined by Hod Lipson. Prof Lipson is the Director of the Creative Machine Lab at Columbia University and is a leading researcher in the field of artificial intelligence, self-replicating robots and self-learning machines. We dive into his work on machines that can discover new physics, the trajectory of current AI and the future of humanity and AGI. To support this podcast and our research lab, head to www.coolworldslab.com/support

Video: https://youtu.be/vR-5w7i2on8

Clip: Hod Lipson & Boyuan Chen "Self-Modeling of Robot Morphologies" by Marwa ElDiwiny

We are at an inflection point in artificial intelligence today. Find out what the next 3 waves of artificial intelligence will bring — including creativity and consciousness. Learn why AI is accelerating and what we can do to ensure tech is used for good.Hod Lipson is the head of Columbia University's Creative Machines Lab, which pioneers new ways to make machines that create, and machines that are creative. His work focuses on evolutionary robotics, design automation, rapid prototyping, artificial life, and creativity.This podcast is available on all major podcast streaming platforms. Did you enjoy this episode? Consider leaving a review on Apple Podcasts. Receive updates on upcoming guests and more in our weekly e-mail newsletter. Subscribe today at www.3takeaways.com. 

A talk with roboticist and artificial intelligence researcher Hod Lipson. Topics include: how close we are to self-aware machines; research strategies that will likely yield self-aware machines; what it takes for something to be self-aware; the risks of AI; how such research can help us better understand human minds and behavior.  

Tom and Roy interview roboticist and professor Hod Lipson to discover if machines can self-reflect, ask questions and even be creative.

Hod Lipson "Self-awareness And Self-replication In Evolutionary Robotics Design" by Marwa ElDiwiny

Today, I spent some time with Hod Lipson who is a professor at Columbia University. In fact, we recorded this episode right out in front of the university with crying babies going by and kids playing in the park. So it's a little noisy, but I've been inspired by Hod for a long time, because he's another inventor that worked on 3D printing early on. He is at the forefront of what we've been able to do with computers. That's the kind of thing I'm always really interested in. He was actually inventing 3D printing at the same time I was, a long time ago. We get to have a conversation about that...both of us were probably the two people who worked on inventing 3D printers for food. And Hod has since gone on to do a really cool side project trying to create a robot artist and it's called Pix18. It's not like any other creative robot that you've seen or heard about. Honestly, this is a difficult thing to get your head around: can a robot be creative? And that's hard for humans to accept. And so of all the people on earth to have a conversation with about this topic, I probably couldn't do any better than Hod Lipson. Towards the end of this episode, you'll see. It's pretty exciting because Hod manages to really blow my mind. (more…)

Today, I spent some time with Hod Lipson who is a professor at Columbia University. In fact, we recorded this episode right out in front of the university with crying babies going by and kids playing in the park. So it’s a little noisy, but I’ve been inspired by Hod for a long time, because he’s another inventor that worked on 3D printing early on. And just generally at the forefront of what we’ve been able to do with computers. That’s the kind of thing I’m always really interested in. And so he was actually inventing 3D printing at the same time I was, a long time ago.So we get to have a conversation about that. Both of us were probably the two people who worked on inventing 3D printers for food. And Hod has since gone on to do a really cool side project trying to create a robot artist and it’s called Pix18. It’s not like any other creative robot that you’ve seen or heard about. And honestly, this is a difficult thing to get your head around: can a robot be creative? And that’s hard for humans to accept. So of all the people on earth to have a conversation with about this topic, I probably couldn’t do any better than Hod Lipson. Towards the end of this episode, it’s pretty exciting because Hod manages to really blow my mind. And I’m excited about sharing with you guys. I hope you enjoy it.

Hod Lipson “Academia is very conservative for risky ideas?”

Hod Lipson “The First Robot I Built “ An Evolve Robot Design Another Robot?”

Hod Lipson “How We Can Design Self-aware Robots"

Hod Lipson “VoxCAD Development: Soft Robotics Design And Simulation”?

Why should we evolve robots to do tasks that animals do so well? Shouldn’t we just copy their bodies and focus on control?

Hod Lipson: What advice would you give to a roboticist before they interview for an assistant professorship? What advice would you give to a 1st year robotics PhD student looking for a thesis topic?

Why don’t we have useful autonomous robots in the real world yet?

Interesting discussion with Hod Lipson, the head of Creative Machines Lab, Columbia University in New York. In this episode, Can robots be Self-aware? Can robots design other robots and self-repair? Why should we evolve robots to do tasks that animals do so well? VoxCAD development for designing and simulation Soft Robots. Why don’t we have useful autonomous robots in the real world yet?" How do you approach the ethical dilemma of military funding scientific research? I hope you enjoy listening to the episode.

We are at an inflection point in artificial intelligence today. Find out what the next 3 waves of artificial intelligence will bring — including creativity and consciousness.

The ultimate engineering challenge - to build a machine that can build something else, that is what Professor Hod Lipson is after.  He describes roboticists as reincarnations of ancient alchemists who are working to breathe life into matter, exploring self-awareness, and participating in a quest to understand what it means to be human. AI For You is now on your favourite podcast app including Apple Podcasts, Spotify, Google Podcasts, and more! Subscribe for episodes to continue sailing West on every other Thursday! — Guest: Hod Lipson — Hod Lipson is a Columbia University professor, author and entrepreneur who works in the areas of robotics and artificial intelligence.Creative Machines LabTED Talk: Building self-aware robotsAward winning book “Fabricated” on 3D Printing, and “Driverless” on Autonomous cars— Links — Merging the world of creativity and imagination with robotics and AICurious About Consciousness? Ask the Self-Aware MachinesDo You Trust This Computer?Why robots are being trained in self-awareness— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —Find us on Instagram, Twitter, Facebook, LinkedIn and YouTube at @aiforanyone& check us out at aiforanyone.org/& email your friends at podcast@aiforanyone.orgBrought to you by Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the rest of the AI4A team

El futuro de la inteligencia artificial fue el tema principal durante la inauguración de la AI Factory de BBVA, el nuevo centro de desarrollo que pretende dar un nuevo impulso a las tecnologías de aprendizaje automático con la creación de nuevos productos o buscando mejorar procesos interno. Este nuevo capítulo de Data Historias está dedicado íntegramente a la nueva iniciativa cuya inauguración contó con la presencia de los “padres de la AI Factory”: David Puente, responsable de Client Solutions; Ricardo Martin-Manjón, responsable global de Data; y Ricardo Forcano, responsable del área de Ingeniería. Además, contó con tres invitados de renombre internacional como son Darío Gil, director del área de investigación de IBM a nivel mundial, Ricardo Baeza-Yates, premio nacional de informática 2018 que actualmente trabaja en una empresa californiana NTENT en temas de búsquedas semánticas; y Hod Lipson, profesor de ingeniería y ciencia de datos de la Universidad de Columbia de Nueva York.

Dr. Hod Lipson, professor of engineering and data science at Columbia University, talks to Tonya Hall about the process of creating self-aware machines. Follow ZDNet: Watch more ZDNet videos: http://zd.net/2Hzw9Zy Subscribe to ZDNet on YouTube: http://bit.ly/2HzQmyf Follow ZDNet on Twitter: https://twitter.com/ZDNet Follow ZDNet on Facebook: https://www.facebook.com/ZDNet Follow ZDNet on Instagram: https://www.instagram.com/ZDNet_CBSi Follow ZDNet on LinkedIn: https://www.linkedin.com/company/zdnet-com/ Follow ZDNet on Snapchat: https://www.snapchat.com/add/zdnet_cbsi Learn more about your ad choices. Visit megaphone.fm/adchoices

A discussion of the book Driverless by Hod Lipson

Explore the intersection of science fiction and national defense inside the high-tech government agency developing America’s top-secret weapons of the future with Neil deGrasse Tyson, co-host Chuck Nice, former DARPA Director Arati Prabhakar, journalist Sharon Weinberger, and roboticist Hod Lipson. NOTE: StarTalk All-Access subscribers can listen to this entire episode commercial-free here: https://www.startalkradio.net/all-access/inside-darpa-sci-fi-meets-national-defense/ Photo Credit: J.Krohn, courtesy of JPL-Caltech.

What is artificial intelligence? Would we know it if we could see it? Professor and author Hod Lipson offers startling insight into the impact A.I. is already having on our lives and where it’s likely to lead us in the not-distant future. Should our worst fears about A.I. overshadow its potential upside? Humans of all stripes — and investors, in particular — will want to listen and find out. Hod Lipson is a professor of mechanical engineering and data science at Columbia University and co-author of the award-winning book Fabricated: The New World of 3D Printing and Driverless: Intelligent Cars and the Road Ahead. Matt Miller is a political economist and corporate affairs advisor at Capital Group and regular host of the Capital Ideas podcast. An author and former Washington Post columnist, Miller was co-host of the public radio program Left, Right & Center. Do you have any topics for Capital Ideas? Please contact our editorial team at CapitalIdeas@capgroup.com.

Hod Lipson, co-author with Melba Kurman of the book "Driverless: Intelligent Cars and the Road Ahead," asserts that AV technology is going to change things for everyone, in all business and sectors. "It’s a tsunami heading our way." And, says the Columbia University professor of engineering and data science, "deep learning" software is so good at understanding and perception that it far surpasses humans. "It can see in the dark, in the rain. It can see not with two eyes but with 20 eyes. It is part of the reason robots will be able to handle a larger variety of tasks because they won’t need to confine themselves to just one type of component. They’ll be able to package different objects with different shapes and sizes without being programmed in advance.  

Self-awareness is not black and white. There are grey areas. For example, some animals are considered self-aware but on a much lower level than humans. Tune in as Hod Lipson of Singularity University discusses how these lower levels of awareness are being realized in robotics today and what that means for the future of thinking robots. Here's a sampling of what you'll discover: * The key to self-awareness and how it relates to A.I. today * How a blind spider-bot figured out it had four legs without a program to tell it so * Why human-level consciousness in robots is just the beginning *If you like what you're hearing on “Almost Here: Round-the-Corner Future Technology,” please subscribe and donate bitcoins to keep us going.

The Creative Machines Lab's goal is to create robots that are self-aware, self-replicating, and creative. We speak with the program's director, Dr. Hod Lipson about his work creating robots that can learn on their own, evolve over time without any human intervention, and even create works of art (pretty good ones too). We also talk about his book _Driverless_, about the robotic technology (driverless cars) that will reshape the world in the decade to come. Check out Dr. Lipson's book right here! https://mitpress.mit.edu/books/driverless    

Self-driving cars are just around the corner. Are you ready? With the advent of machine learning and related tech, autonomous cars are more technologically mature than most of us think. Yet old-school policies and regulations are lagging behind, making it difficult for large scale adoption to take place. Essentially, driverless tech has become a people, rather than a technology, problem. To help us sort out the complicated landscape on our horizon, Hod Lipson and Melba Kurman wrote the book, Driverless: Intelligent Cars and the Road Ahead. Lipson, a roboticist at Columbia University who specializes in artificial intelligence and digital manufacturing, and Kurman, an expert on the impact of technology on the economy and our daily lives, lay out the advances in technology that got us here and the benefits and challenges that lie ahead. Highlights from our interview include: The staggering number of lives self-driving cars will save How the maturity of driverless tech has outpaced updates to policies and regulations How traditional models of car insurance do not hold up to what autonomous cars require How a safety standard comparing driverless tech to humans is key How driverless tech can reduce noise and idling pollution Ways parking spaces and garages can be repurposed with fewer cars on the road The fact that city planners are focusing on public transportation and neglecting driverless tech and its impact on transportation budgets The important safety challenge of an incremental versus an all-out shift to driverless tech How driverless tech is now able to out-perceive humans at the wheel The role DARPA played in advancing driverless accelerating driverless tech How a shift from rules-based to machine learning birthed driverless car tech How sensors and software feed information to driverless cars How a combination of sensors and software help driverless tech overcome individual vulnerabilities in tech How gaming software held the key to advancing driverless tech The role ImageNet played in advancing image perception needed for driverless cars The fact that deep learning includes machines learning what we may not have words for Why we need to be talking about the impact of driverless tech on jobs How driverless tech can reduce isolation and increase mobility for the elderly and visually impaired How networked driverless cars can amass thousands of lifetimes of experience very quickly as they learn from one another in ways humans cannot How the shift to self-driving cars is less about the tech and more about the human issues of policies and regulations How driverless tech will usher in new businesses we cannot even imagine or predict Links to Topics Mentioned in this Podcast Creative Machines Lab at Columbia University DARPA Grand Challenge The Grid by Gretchen Bakke Lidar GPUs ImageNet Deep learning Qualia If you enjoy the podcast, please rate and review it on iTunes - your ratings make all the difference. For automatic delivery of new episodes, be sure to subscribe. As always, thanks for listening! Thank you to Emmy-award-winning Creative Director Vanida Vae for designing the Curious Minds logo, and thank you to Rob Mancabelli for all of his production expertise! www.gayleallen.net LinkedIn @GAllenTC

Hod Lipson is a fascinating conversationalist. Hod is a professor of Mechanical Engineering and Data Science at Columbia University in New York, and a co-author of the award winning book “Fabricated: The New World of 3D printing”, and “Driverless: Intelligent cars and the road ahead”, by MIT Press. Before joining Columbia University in 2015, Hod spent 14 years as a professor at Cornell University. He received his PhD in 1999 from the Technicon – Israel Institute of Technology, followed by a postdoc at Brandeis University and MIT. His work on self-aware and self-replicating robots challenges conventional views of robotics, and has enjoyed widespread media coverage. He has also pioneered many aspects of 3D Printing, including bio-printing, electronics printing, and now Food Printing, and launching the firs open-source printer in the US, the Fab@Home in 2005. Lipson has co-authored over 300 publications that received over 12,000 citations to date. He has founded four companies, and is frequent keynoter both in industry and academic events. His TED Talk on self-aware machines is one of the most viewed presentations on AI and robotics. Hod directs the Creative Machines Lab, which pioneers new ways to make machines that create, and machines that are creative. Major Take-Aways From This Episode: 3D Printing and Digital Manufacturing Why is Complexity free now? It used to be that you add complexity and you need more skill and add cost;  The importance of AI design tools for 3D printing; The vision of Design on Demand; Understanding the downside risks; Understanding the 4 exponential trends giving gas to AI. 4 Exponential Trends making AI Spread like wildfire: 1) Moore’s Law; 2) Exponential Data Growth is the AI and Machine Learning Oxygen; 3) Algorithms that get better and better (with perceptions and differential equations); 4) Machines learning from each other competitively. Machines sharing knowledge. Driverless cars, for example. Creativity, Perception, Design, Decision Making Breakthroughs with AI: 1. Using crowdsourcing to access talent to solve problems; 2. Who owns the data ? Data is the new oil; 3. Who owns the algorithms? 4. Analysis and Synthesis. Historical trends of AI and Machine Learning: 1) Algorithmic approach dominated; 2) Now, Machine learning learns by itself;. 3) Deep learning is a programmatic off shoot of Machine learning. I have linked up all the show notes on redzonetech.net/podcast where you can get access to Hod Lipson's books and publications. Read full transcript here. How to get in touch with Hod Lipson: Linkedin Website Contact Form Website: http://www.hodlipson.com/ Books/Publications: Driverless: Intelligent Cars and the Road Ahead Fabricated: the New world of 3D Printing Video: TedxTalk : Building Self-Aware Robots Other Resources: Creative Machines Lab Research: Current and Past Projects Full List of Public Talks TedxTalks Profile   This episode is sponsored by the CIO Scoreboard, a powerful tool that helps you communicate the status of your IT Security program visually in just a few minutes. Credits: * Outro music provided by Ben’s Sound Other Ways To Listen to the Podcast iTunes | Libsyn | Soundcloud | RSS | LinkedIn Leave a Review If you enjoyed this episode, then please consider leaving an iTunes review here Click here for instructions on how to leave an iTunes review if you're doing this for the first time. About Bill Murphy Bill Murphy is a world renowned IT Security Expert dedicated to your success as an IT business leader. Follow Bill on LinkedIn and Twitter.

Advances in physical sciences, biology, and neuroscience have dramatically enhanced our knowledge of the human species. But can physical sciences solve the biggest mystery the emergence of human consciousness? A distinguished panel of experts, including David Chalmers, PhD, Michael Graziano, PhD, Hod Lipson, PhD, and Max Tegmark, PhD, will discuss in this new podcast. Scientific American's George Musser moderates. This podcast features audio from the fourth event in our series, The Physics of Everything.

It's been a long time.. we shouldn't've left you.. without a dope 3DFPod to step to... After a long break Luis and Jason are back to podcast and get you up to date on what went down in the 3D food printing world over Summer 2016. - FoodInk Official Launch in London - Structur3D collab with Ultimaker - Natural Machines' Foodini announcement - Hod Lipson's students concept 3D Food Printer - Beehex collab with Chef Pasquale Cozzolino - 3DChef exapanding accross the globe - Florian Horsch of Soup & Socks / habibi.works shoutout --> support Soup & Socks / habibi.works here: https://soupandsocks.eu/donate/ - and more! Big thank you to Tyler Kealey for letting us use his cover of Welcome Back! Check out his work here: http://tylerkealey.com/

Alec Hogg speaks Artificial Intelligence and Robotics with Hod Lipson, Singularity University by Biznews.com

Alec Hogg speaks Artificial Intelligence and Robo…

This week on What Doesn’t Kill You Katy interviews professor Hod Lipson about his work with 3D printing, and how this process has recently intertwined into printing food. They start the show by discussing one of the first foods that people have been 3D printing, chocolate. They use chocolate as a framing device for discussing the almost limitless possibilities of 3D printing and how beef, candy, and synthetic mixtures may become the future of the food industry. This program was brought to you by The International Culinary Center. “I see it as the ultimate kitchen appliance [3D Printer].” [12:00] “The sky is the limit, once you put all this information into a computer…its mind boggling.” [15:00] “You aren’t abandoning conventional foods, you are just using them in a different way.” [17:00] — Professor Hod Lipson on What Doesn’t Kill You

This week on What Doesn’t Kill You Katy interviews professor Hod Lipson about his work with 3D printing, and how this process has recently intertwined into printing food. They start the show by discussing one of the first foods that people have been 3D printing, chocolate. They use chocolate as a framing device for discussing the almost limitless possibilities of 3D printing and how beef, candy, and synthetic mixtures may become the future of the food industry. This program was brought to you by The International Culinary Center. “I see it as the ultimate kitchen appliance [3D Printer].” [12:00] “The sky is the limit, once you put all this information into a computer…its mind boggling.” [15:00] “You aren’t abandoning conventional foods, you are just using them in a different way.” [17:00] — Professor Hod Lipson on What Doesn’t Kill You

Computer programmers are injecting machines with consciousness and the power of thought. It's time we stop and ask, 'which thoughts?' In this episode we hear how robots can become self-aware and teach themselves new behaviors in the same way a baby might learn to wiggle his toes and learn to crawl. Though this is happening now, Hod Lipson, Cornell researcher, tells us that uttering the word consciousness to roboticists is like saying the "C" word. It could get you fired. We say, it's time to start talking about robot morals.  However you look at it, Google's self-driving car is a robot and it will be entering our lives soon. So we talk with psychologist Adam Waytz of Northwestern University about his experiments measuring how people form bonds with robots, and how we naturally project human characteristics onto machines — for better or worse — including a friendly driver-less car named Iris.   By the end of this episode, we raise a lot of questions and offer a few answers about the ethics of living in a robot world. Please consider this the start of a conversation and let us know what else you want us to ask, answer, cover or investigate, including who you want us to interview next.  You can get in touch with us through Twitter, @NewTechCity or email us at newtechcity (at) wnyc.org. And if you like this episode, please subscribe on iTunes, or via RSS. It's easier than finding your toes.    VIDEOS: We mention a few videos in the podcast. Here they are in the order they appear in the show.    Watch the full event with Hod Lipson showing off his thinking robots. He shows off his "Evil Starfish" starting around 14 minutes in. It "gimps along" best at 28 minutes in.     And here is Google's promotional video for it's first fully driver-less car.

Hod Lipson of Cornell University discusses the future of 3-D printing in his lecture entitled, Programmable Matter: The Shape of Things to Come

Hod Lipson of Cornell University discusses the future of 3-D printing in his lecture entitled, Programmable Matter: The Shape of Things to Come

Hod Lipson of Cornell University discusses the future of 3-D printing in his lecture entitled, Programmable Matter: The Shape of Things to Come

Big Ideas presents Hod Lipson of Cornell University exploring his work in such areas as evolutionary robotics and programmable self-assembly, Lipson delivers a lecture entitled The Robotic Scientist: Mining Experimental Data for Scientific Laws, from Cognitive Robots to Computational Biology.

Big Ideas presents Hod Lipson of Cornell University exploring his work in such areas as evolutionary robotics and programmable self-assembly, Lipson delivers a lecture entitled The Robot Scientist: Mining Experimental Data for Scientific Laws, from Cognitive Robots to Computational Biology.

Big Ideas presents Hod Lipson of Cornell University exploring his work in such areas as evolutionary robotics and programmable self-assembly, Lipson delivers a lecture entitled The Robotic Scientist: Mining Experimental Data for Scientific Laws, from Cognitive Robots to Computational Biology.

Michael Tolley and Jonas Neubert from the Computational Synthesis Laboratory run by Hod Lipson at Cornell University present their approach at making programmable matter.

In this episode we interview Hod Lipson and Josh Bongard about a highly adaptive robot they built together with Victor Zykov that can continue working in spite of damage such as a lost leg, and on the future of this technology.