Podcasts about international joint conference

Dick co-founded Stottler Henke in 1988 as a software company dedicated to providing practical solutions to difficult problems by skillfully drawing upon a large repertoire of artificial intelligence technologies. Under Dick's leadership, Stottler Henke has grown steadily and profitably into a 60-person research and software development company with distinctive expertise in automated planning and scheduling, intelligent tutoring systems, intelligent simulation, sensor data fusion, and autonomous systems. Dick combines a strong applied research record in artificial intelligence with practical experience in rapid and efficient knowledge engineering. He has led the development of intelligent tutoring systems that encode the expertise of instructors to provide practice-based learning and automated evaluation of student performance. Subject areas include navy tactics; army tactics, command, and control; sonar data analysis; astronaut training; helicopter cockpit operations; and battlefield emergency medicine. He led the development of intelligent planning systems for NASA space shuttle missions, satellite communications and sensor  scheduling, and aircraft assembly. He also led the development of intelligent systems that autonomously control groups of drones to automatically plan and execute tasks to achieve mission objectives and react to unpredictable events. Dick has written or presented more than 80 papers and articles for publications such as the proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). He received his BS in engineering from Cornell University and his MS in computer science (artificial intelligence) from Stanford University. Learn more about Dick:  ⁠⁠Dick's website⁠⁠ AMER project TRACER project Space Shuttle Scheduling ESTEEM Current project Where to find the hosts: Brian Moon ⁠⁠Brian's website⁠⁠ ⁠⁠Brian's LinkedIn⁠⁠ ⁠⁠Brian's Twitter⁠⁠ Laura Militello ⁠⁠Laura's website⁠⁠ ⁠⁠Laura's LinkedIn⁠⁠ ⁠⁠Laura's Twitter⁠⁠

In this episode, part of a special collaboration between ACM ByteCast and the American Medical Informatics Association (AMIA)'s For Your Informatics podcast, hosts Sabrina Hsueh and Karmen Williams welcome Francesca Rossi, IBM Fellow and AI Ethics Global Leader, and current President of the Association for the Advancement of Artificial Intelligence (AAAI). Rossi works at the Thomas J. Watson IBM Research Lab in New York. Her research interests focus on artificial intelligence, especially constraint reasoning, preferences, multi-agent systems, computational social choice, and collective decision making. She is also interested in ethical issues in the development and behavior of AI systems. She has published more than 200 scientific articles in journals and conference proceedings and is a fellow of both AAAI and EurAI. Rossi has been the president of the International Joint Conference on AI (IJCAI), an Executive Counselor of AAAI, the Editor-in-Chief of the Journal of AI Research, and serves n the Board of Directors of the Partnership on AI. She has also served as a program co-chair and steering committee member of the AAAI/ACM Conference on AI Ethics and Society (AIES). Francesca shares how experiences with multidisciplinary work in computer science drew her to AI and ethics, and the challenges of synchronizing with people from a variety of different backgrounds at IBM. She also talks about her involvement in the development of AI ethics guidelines in Europe. She walks through some of her concerns around building ethical and responsible AI, such as bias, lack of availability, transparency of AI developers, data privacy, and the accuracy of generated content. Francesca emphasizes the importance of researchers working more closely with policymakers and the important role of conferences such as AIES (a collaboration between AAAI and ACM). She also offers suggestions for those interested in getting more engaged in AI ethics and recommendations for people interested in an AI career path, and advocates for common benchmarks that can help evaluate AI.

In episode 110 of The Gradient Podcast, Daniel Bashir speaks to Professor Subbarao Kambhampati.Professor Kambhampati is a professor of computer science at Arizona State University. He studies fundamental problems in planning and decision making, motivated by the challenges of human-aware AI systems. He is a fellow of the Association for the Advancement of Artificial Intelligence, American Association for the Advancement of Science, and Association for Computing machinery, and was an NSF Young Investigator. He was the president of the Association for the Advancement of Artificial Intelligence, trustee of the International Joint Conference on Artificial Intelligence, and a founding board member of Partnership on AI.Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pubSubscribe to The Gradient Podcast:  Apple Podcasts  | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (02:11) Professor Kambhampati's background* (06:07) Explanation in AI* (18:08) What people want from explanations—vocabulary and symbolic explanations* (21:23) The realization of new concepts in explanation—analogy and grounding* (30:36) Thinking and language* (31:48) Conscious and subconscious mental activity* (36:58) Tacit and explicit knowledge* (42:09) The development of planning as a research area* (46:12) RL and planning* (47:47) What makes a planning problem hard? * (51:23) Scalability in planning* (54:48) LLMs do not perform reasoning* (56:51) How to show LLMs aren't reasoning* (59:38) External verifiers and backprompting LLMs* (1:07:51) LLMs as cognitive orthotics, language and representations* (1:16:45) Finding out what kinds of representations an AI system uses* (1:31:08) “Compiling” system 2 knowledge into system 1 knowledge in LLMs* (1:39:53) The Generative AI Paradox, reasoning and retrieval* (1:43:48) AI as an ersatz natural science* (1:44:03) Why AI is straying away from its engineering roots, and what constitutes engineering* (1:58:33) OutroLinks:* Professor Kambhampati's Twitter and homepage* Research and Writing — Planning and Human-Aware AI Systems* A Validation-structure-based theory of plan modification and reuse (1990)* Challenges of Human-Aware AI Systems (2020)* Polanyi vs. Planning (2021)* LLMs and Planning* Can LLMs Really Reason and Plan? (2023)* On the Planning Abilities of LLMs (2023)* Other* Changing the nature of AI research Get full access to The Gradient at thegradientpub.substack.com/subscribe

Artificial Intelligence (AI) is the most hyped and most important technology of the century to date. Over the past decade there has been an endless series of breathless announcements about advances in AI – and attendant fears. In his address, Professor Michael Wooldridge assesses the nature of this technology, distinguish between hype and reality, and explore the implications of AI for society. He also discusses the risks posed by AI and how they should be addressed. About the Speaker: Michael Wooldridge is a Professor of Computer Science at the University of Oxford, and a programme director for AI at the Alan Turing Institute. He has been an AI researcher for more than 30 years and has published more than 400 scientific articles on the subject, including nine books. From 2014-16, he was President of the European Association for AI, and from 2015-17 he was President of the International Joint Conference on AI (IJCAI).

I was invited to give an opening keynote talk about AI at a half-day seminar titled "Tech Talks: AI Tools, Tips, & Traps" on April 20, 2023 that was put on by San Jose State University's King Library Experiential Virtual Reality Lab (KLEVR). I titled it "Some Preliminary Thoughts on Artificial Intelligence" (video version and slides) as it was an opportunity to put down some of my initial thoughts on the history of AI, the different ethical perspectives on AI, as well some conceptual frames that I use to help makes sense of the field of AI based upon my experiences at the International Joint Conference on Artificial Intelligence. Also, a lot of the conversations that I've had with XR artists and developers about AI tend to be primarily focused on the immediate utility of the tools rather than the broader ethical and moral implications of the technology. This talk starts to flesh out that aspect a bit more, but I'd also recommend checking out my interview with Access Now's Daniel Leufer about the European Union's AI Act from Voices of VR episode #1177. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

Pascal Van Hentenryck is an A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He is also the the director of the NSF Artificial Intelligence Institute for Advances in Optimization. Prior to this appointment, he was a professor of Computer Science at Brown University for about 20 years, he led the optimization research group (about 70 people) at National ICT Australia (NICTA) (until its merger with CSIRO), and was the Seth Bonder Collegiate Professor of Engineering at the University of Michigan. Van Hentenryck is a Fellow of AAAI (the Association for the Advancement of Artificial Intelligence) and INFORMS. He has been awarded two honorary doctoral degrees from the University of Louvain and the university of Nantes, the IFORS Distinguished Lecturer Award, the Philip J. Bray Award for teaching excellence in the physical sciences at Brown University, the ACP Award for Research Excellence in Constraint Programming, the ICS INFORMS Prize for Research Excellence at the Intersection of Computer Science and Operations Research, and an NSF National Young Investigator Award. He received a Test of Time Award (20 years) from the Association of Logic Programming and numerous best paper awards, including at IJCAI and AAAI. Van Hentenryck has given plenary/semi-plenary talks at the International Joint Conference on Artificial Intelligence (twice), the International Symposium on Mathematical Programming, the SIAM Optimization Conference, the Annual INFORMS Conference, NIPS, and many other conferences. Van Hentenryck was program co-chair of the AAAI'19 conference, a premier conference in Artificial Intelligence. Van Hentenryck's research focuses in Artificial Intelligence, Data Science, and Operations Research. His current focus is to develop methodologies, algorithms, and systems for addressing challenging problems in mobility, energy systems, resilience, and privacy. In the past, his research focused on optimization and the design and implementation of innovative optimization systems, including the CHIP programming system (a Cosytec product), the foundation of all modern constraint programming systems and the optimization programming language OPL (now an IBM Product). Van Hentenryck has also worked on computational biology, numerical analysis, and programming languages, publishing in premier journals in these areas.

Our guest today is Francesca Rossi,  who for the past three years has been an AI Ethics Global Leader at IBM Research as well as an IBM Distinguished Research Staff Member. Prior to her time at IBM, she was a professor of computer science at the University of Padova, Italy. Francesca’s AI research interests include constraint reasoning, preferences, multi-agent systems, computational social choice, and collective decision making. Much of her research today is focused on the future of artificial intelligence and the ethical issues surrounding the development and behavior of AI systems. She is a fellow of both the worldwide association of AI (AAAI) and of the European Association of AI. She also has been president of the International Joint Conference on AI and the editor in chief of the Journal of AI Research. Sitting in for Dawn during today’s interview is IHMC colleague Brent Venable, who recently was named the inaugural director of a new Ph.D. program in Intelligent Systems and Robotics that is a partnership between IHMC and the University of West Florida. Brent is a graduate of the University of Padova and had Francesca as her academic advisor. Show notes: [00:03:25] Brent opens the interview asking Francesca where she grew up in Italy. [00:03:51] Brent mentions that Francesca was a curious child, who was fascinated with the moon landing. Brent asks what else Francesca was interested in as a child. [00:05:01] Francesca explains that if she were to stumble across a time machine she would be interested in going forward in time rather than backwards. [00:05:41] Ken asks why Francesca decided to study computer science in 1981when the field was relatively new. [00:07:22] Francesca discusses the one class in her academic career that stumped her, despite her good grades in every other subject. [00:08:36] Ken mentions that Francesca ended up in Austin, Texas after obtaining her degree in computer science, and asks what it was that lead her to the University of Texas and what research she did there. [00:11:40] Brent asks why Francesca decided to go back to Pisa after Texas to work on her Ph.D. [00:13:23] Brent mentions that after Francesca’s Ph.D., she moved to the University of Padova, where she worked for the next 20 years. Brent asks about the work that Francesca did in this period, particularly her seminal work on preferences for intelligent systems. [00:15:17] Ken discusses how Francesca became Brent’s academic advisor at Padova. Ken mentions that he has heard that the two of them had so much fun working together, that they did as much laughing as research during their time at Padova. He asks the two of them if that could possibly be true. [00:17:41] Francesca talks about the sabbatical she took to the Radcliff Institute. [00:22:00] Brent asks about an article in the Wall Street Journal that featured Francesca as well as a senior manager at IBM and one of the founders of Skype and how the article played a role in Francesca’s decision to move to the United States. [00:23:41] Francesca’s title at IBM is “Global Ethics Leader.” Brent asks Francesca to describe what the job entails. [00:30:00] Ken asks what Francesca envisions as the likely future of AI, and what she hopes for the future of AI. [00:31:54] Francesca discusses how we sometimes craft our visions for the future around our current technology, and that she believes that the proper approach should be to build our technologies around our visions for the future. [00:34:37] Brent asks Francesca for her thoughts on whether or not the fear of robots and AI going rogue and hurting people is a legitimate one, and what she thinks about the government adopting AI legislation. [00:38:23] Francesca gives her thoughts on the fears that AI will one day replace human workers. [00:41:43] Brent mentions that Matt Johnson, interviewed on episode 86 of STEM-Talk, had an article in AI magazine where he discussed human mach...

Continuing in a discussion of recent topics, Andy and Dave discuss research from Johns Hopkins University, which used supervised machine learning to predict toxicity of chemicals (the results of which beat animal tests). DeepMind probes toward general AI by exploring AI’s abstract reasoning capability; in their tests, they found that systems did OK (75% correct) when problems used the same abstract factors, but that AI systems fared very poorly if the testing differed from the training set (even minor variations such as using dark-colored objects instead of light-colored objects) – in a sense, suggesting that deep neural nets cannot “understand” problems they have not been explicitly trained to solve. Research from Spyros Makridakis demonstrated that existing traditional statistical methods outperform (better accuracy; lower computation requirements) than a variety of popular machine-learning methods, suggesting the need for better benchmarks and standards when discussing the performance of machine learning methods. Finally, Andy and Dave wrap up with two reports from the Center for a New American Security, on Technology Roulette, and Strategic Competition in an Era of AI, the latter of which highlights that the U.S. has not yet experienced a true “Sputnik moment.” Research from MIT, McGill and Masdar IST defines and visualizes skill sets required for various occupations, and how these contribute to a growing disparity between high- and low-wage occupations. The conference proceedings of Alife2018 (nearly 700 pages) are available for the 23-27 July event. Art of the Future Warfare Project features a collection of “war stories from the future,” and over 50 videos are available from the 2018 International Joint Conference on AI.

There is a global call for a ban on killer robots, warning that technological advances could revolutionize warfare and create new weapons of terror. More than one hundred robotics and artificial intelligence entrepreneurs intend on sending a letter to the UN calling for action to prevent the development of autonomous weapons. The renewed plea on autonomous weapons was released as the International Joint Conference on Artificial Intelligence which is underway in Melbourne, Australia with a more than 2000 of the world's top AI and robotics experts taking part. Tsepiso Makwetla spoke to Professor Bhekisipho Twala, Director in Artificial Intelligence and Statistical Science at the University of Johannesburg's Institute for Intelligent Systems

MIT Students: Are you curious about how to get a job in the game industry as an MIT graduate? What kind of jobs can MIT prepare you for? What should you expect from your first job? The MIT Game Lab has invited a number of local MIT alumni in the game industry to talk about their experiences entering the industry. Panelists include: Ethan Fenn Fire Hose Games Ethan graduated in 2004 with a double major in Courses 18 and 21M. Soon after graduating he joined the team at Harmonix, where he worked as a programmer with an audio focus on several titles, including Karaoke Revolution Party, Guitar Hero, Guitar Hero II, and Rock Band. After a few years at Harmonix, he met Eitan Glinert, who had recently finished his graduate work at GAMBIT and was working on starting up a new game studio, Fire Hose Games. Naomi Hinchen Flash Programmer, Learning Games Network Naomi Hinchen graduated Course 6-3 in 2011 and finished her MEng in 2012. While at MIT, she was on the teams for Poikilia and The Snowfield at GAMBIT (now the MIT Game Lab). Until recently, she worked at Learning Games Network, primarily on the language learning game Xenos. Damián Isla President, co-founder, Moonshot Games Damián has been working on and writing about game technology for over a decade. He is president and co-founder of Moonshot Games, purveyors of fun and innovative mobile gaming fare. Before Moonshot, Damián was AI and Gameplay engineering lead at Bungie Studios, where he was responsible for the AI for the mega-hit first-person shooters Halo 2 and Halo 3. A leading expert in the field of Artificial Intelligence for Games, Damián has spoken on games, AI and character technology at the International Joint Conference on Artificial Intelligence (IJCAI), at the AI and Interactive Digital Entertainment Conference (AIIDE), and at Siggraph, and is a frequent speaker at the Game Developers Conference (GDC). Before joining the industry, Damián earned a Masters Degree with the Synthetic Characters group at the M.I.T. Media Lab. He holds a B.S. in Computer Science, also from M.I.T. Patrick Rodriguez Game Designer, Muzzy Lane Software Patrick Rodriguez graduated from MIT in 2012 with a degree in Comparative Media Studies. He now works for Muzzy Lane Software in Newburyport, MA, making educational/serious games. His most recent project is a corporate training game for a retail chain in mexico that trains employees how to talk with customers to recommend the best product for them. Rob Stokes Senior Level Designer, Harmonix Music Systems Rob grew up in Marshfield, MA, before heading off to MIT for undergrad. While there, Rob earned a B.S. in Aerospace Engineering, which has proven largely useless in his career, except when doing back-of-the-envelope terminal velocity calculations for space stations falling into the gravity wells of gas giants. After MIT, Rob attended the American Film Institute in LA, while he earned his MFA in writing. He next worked at Bungie for five years, working as a mission designer on Halo 2 and one of the design leads on Halo 3. He also led up the story development process for Halo 3 and got to do most of the early writing for missions and cinema tics. After Bungie, Rob co-founded a small startup called Moonshot Games, where he served as Creative Director. He currently works at Harmonix Music Systems in Cambridge, despite not being able to carry a tune, bust a move, or play chopsticks. Mark Sullivan Harmonix Music Systems Mark Sullivan has been working in the games industry for just over two years, during which time he’s been working as a gameplay programmer at Harmonix Music Systems on the 2014 title Fantasia: Music Evolved. Prior to that, he completed his undergrad in course 6 at MIT in 2010, and then his MEng in 2011. He worked as a UROP and eventually a research assistant at the Singapore-MIT GAMBIT Game Lab for most of his time at MIT, from Summer 2007 to Summer 2011.

Au menu de ce septième épisode : véhicule de Braitenberg, fonction de fitness, et évolution : Simon Carrignon vous présente en détail la robotique réactive et la robotique évolutive. Nous poursuivrons sur les mêmes thématiques lors de l'épisode 8. Désolé pour le retard dans la publication (entre les fêtes et la période d'exam j'ai eu beaucoup de mal à trouver un moment pour monter cet épisode) Petit rappel vous pouvez vous abonner au podcast par sa page iTunes ou ici au format m4a et là au format mp3. Accessoirement j'attends vos commentaires vis à vis des illustrations du podcast pendant l'écoute quant elles sont présentes comme dans les épisodes 2 et 5 ? Quelque liens proposé par Simon : Braitenberg avec quelques images classiques de branchement : http://www.ini.uzh.ch/~conradt/research/BraitenbergVehicle/ et http://www.sitedunxt.fr/articles/articles-4-21+vehicules-de-braitenberg-1-et-2.php Les petits robots qui vibrent : http://www.youtube.com/watch?v=_yOPjPjjPfY Un exemple de recherche ou les gens font evoluer contrôleurs et morphologie : http://www.demo.cs.brandeis.edu/pr/evo_design/genobots3d.html Et une petite bibliographie toujours par Simon : Brooks, Rodney A.: Intelligence Without Reason, Proceedings of the 12th International Joint Conference on Artificial Intelligence (IJCAI-91), Morgan Kaufmann, 569–595, Eds: Myopoulos, John, Reiter, Ray, 1991 Nolfi, S. and Floreano, D. (2000). Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. Cambridge, MA: MIT Press/Bradford Books. Vous pouvez me retrouver sur twitter (https://twitter.com/Xilrian) et vous abonner sur : notre flux RSS (http://feeds.feedburner.com/vieartificielle), iTunes (http://itunes.apple.com/fr/podcast/vie-artificielle/id471402436), Youtube (http://www.youtube.com/channel/UCuPLI-CCXwPeCuwsQQUcN-Q/videos) et soundcloud (https://soundcloud.com/xilrian).

Au menu de ce septième épisode : véhicule de Braitenberg, fonction de fitness, et évolution : Simon Carrignon vous présente en détail la robotique réactive et la robotique évolutive. Nous poursuivrons sur les mêmes thématiques lors de l'épisode 8. Désolé pour le retard dans la publication (entre les fêtes et la période d'exam j'ai eu beaucoup de mal à trouver un moment pour monter cet épisode) Petit rappel vous pouvez vous abonner au podcast par sa page iTunes ou ici au format m4a et là au format mp3. Accessoirement j'attends vos commentaires vis à vis des illustrations du podcast pendant l'écoute quant elles sont présentes comme dans les épisodes 2 et 5 ? Quelque liens proposé par Simon : Braitenberg avec quelques images classiques de branchement : http://www.ini.uzh.ch/~conradt/research/BraitenbergVehicle/ et http://www.sitedunxt.fr/articles/articles-4-21+vehicules-de-braitenberg-1-et-2.php Les petits robots qui vibrent : http://www.youtube.com/watch?v=_yOPjPjjPfY Un exemple de recherche ou les gens font evoluer contrôleurs et morphologie : http://www.demo.cs.brandeis.edu/pr/evo_design/genobots3d.html Et une petite bibliographie toujours par Simon : Brooks, Rodney A.: Intelligence Without Reason, Proceedings of the 12th International Joint Conference on Artificial Intelligence (IJCAI-91), Morgan Kaufmann, 569–595, Eds: Myopoulos, John, Reiter, Ray, 1991 Nolfi, S. and Floreano, D. (2000). Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. Cambridge, MA: MIT Press/Bradford Books. Vous pouvez me retrouver sur twitter (https://twitter.com/Xilrian) et vous abonner sur : notre flux RSS (http://feeds.feedburner.com/vieartificielle), iTunes (http://itunes.apple.com/fr/podcast/vie-artificielle/id471402436), Youtube (http://www.youtube.com/channel/UCuPLI-CCXwPeCuwsQQUcN-Q/videos) et soundcloud (https://soundcloud.com/xilrian).