Podcasts about Intelligent Systems

Title: Super Metroid (スーパーメトロイド, Sūpā Metoroido) [Wikipedia] [IMDb] Developers: Nintendo R&D1, Intelligent Systems Publisher: Nintendo Designers: Yoshio Sakamoto (director), Makoto Kano (producer) Platforms: Super Nintendo Entertainment System Release date: March 19, 1994 (JP) PROMO: Collateral Cinema Movie Podcast (@CCinemaPodcast) SHOWNOTES: Zachary and Ashley are back in Part 2 of our fiftieth episode, as we conclude our discussion on Super Metroid! This time, we delve into the story content of the third Metroid game, its place in the series timeline, and more. Covering such an influential title in the action–adventure genre has been great for us, and we're excited to deliver the rest of this season's content to you; on our next numbered episode, we'll be covering Hogwarts Legacy in two parts! Collateral Gaming is on Facebook, Instagram, Bluesky, Threads, and Twitter, and is on Podbean, Apple Podcasts, Spotify, Google Podcasts, YouTube, iHeart, Chill Lover Radio, and wherever else you get your podcasts! Also, check out Collateral Let's Play! on our YouTube channel. Collateral Media merch is now available on TeePublic! Check out everything from shirts and hats, to stickers and even tapestries, at our affiliate link now: teepublic.com/stores/collateral-media-group (Collateral Gaming is a Collateral Media Podcast. Intro song is a license-free beat by Quality_Online_Media from Pixabay. All music and game clips are owned by their respective creators and are used for educational purposes only. Please don't sue us; we're poor!)

Today, we're joined by Jonas Geiping, research group leader at Ellis Institute and the Max Planck Institute for Intelligent Systems to discuss his recent paper, “Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.” This paper proposes a novel language model architecture which uses recurrent depth to enable “thinking in latent space.” We dig into “internal reasoning” versus “verbalized reasoning”—analogous to non-verbalized and verbalized thinking in humans, and discuss how the model searches in latent space to predict the next token and dynamically allocates more compute based on token difficulty. We also explore how the recurrent depth architecture simplifies LLMs, the parallels to diffusion models, the model's performance on reasoning tasks, the challenges of comparing models with varying compute budgets, and architectural advantages such as zero-shot adaptive exits and natural speculative decoding. The complete show notes for this episode can be found at https://twimlai.com/go/723.

Title: Super Metroid (スーパーメトロイド, Sūpā Metoroido) [Wikipedia] [IMDb] Developers: Nintendo R&D1, Intelligent Systems Publisher: Nintendo Designers: Yoshio Sakamoto (director), Makoto Kano (producer) Platforms: Super Nintendo Entertainment System Release date: March 19, 1994 (JP) PROMO: Collateral Cinema Movie Podcast (@CCinemaPodcast) SHOWNOTES: For our fiftieth episode of Collateral Gaming, we decided we needed to do something special. So, we're finally diving into the 1994 SNES classic: Super Metroid! Considered by many one of the greatest video games of all time, this title in part established the "Metroidvania" genre and remains popular in the speedrunning community to this day. So, join Ash and Zach in Part 1 of our review of the third installment of the Metroid series, and stay tuned for Part 2 very soon! Collateral Gaming is on Facebook, Instagram, Bluesky, Threads, and Twitter, and is on Podbean, Apple Podcasts, Spotify, Google Podcasts, YouTube, iHeart, Chill Lover Radio, and wherever else you get your podcasts! Also, check out Collateral Let's Play! on our YouTube channel. Collateral Media merch is now available on TeePublic! Check out everything from shirts and hats, to stickers and even tapestries, at our affiliate link now: teepublic.com/stores/collateral-media-group (Collateral Gaming is a Collateral Media Podcast. Intro song is a license-free beat by Quality_Online_Media from Pixabay. All music and game clips are owned by their respective creators and are used for educational purposes only. Please don't sue us; we're poor!)

Welcome back to Pursuing Pixels, and welcome back to another edition of 'Save it for the 'cast!' Kevin gets the ball rolling with a handful of the games that he's been playing (and livestreaming) lately — including a few Nintendo classics, and a quick UFO 50 spotlight (after earning his very first gold cartridge). John & Randall take the torch from there, and dive into all sorts of video gaming goodies — including first impressions on the new Lonely Mountains game, semi-forgotten games from Intelligent Systems, Steam Deck woes, and much more...   Timestamps: Metroid Prime: Remastered  -  00:02:08 The Legend of Zelda: The Minish Cap  -  00:04:26 Wave Race 64  -  00:09:32 UFO 50 (Mooncat)  -  00:11:29   Thanks for taking the time to listen!  If you'd like to find us elsewhere on the Internet, you can find us at:   

Claire chatted to Robert Siddall from the University of Surrey about novel robot designs inspired by the way real animals move. Robert Siddall is an aerospace engineer with an enthusiasm for unconventional robotics. He is interested in understanding animal locomotion for the benefit of synthetic locomotion, particularly flight. Before becoming a Lecturer at the University of Surrey, he worked at the Max Planck Institute for Intelligent Systems in Stuttgart, Germany, where he studied the arboreal acrobatics of rainforest-dwelling reptiles. His work focuses on the design of novel robots that can tackle important environmental problems. Join the Robot Talk community on Patreon: https://www.patreon.com/ClaireAsher Check out a video of the pangolin-inspired tree-planting robot that won the 2023 Natural Robotics contest: https://www.youtube.com/watch?v=4_9kYvjXyZ0   

On this episode of the Startup of the Year Podcast, our host, entrepreneur, and investor, Frank Gruber (https://www.linkedin.com/in/frankgruber), is joined by Robert Quinn.   Robert Quinn is the founder of MakeSense Technology, a company pioneering haptic solutions that address visual problems through innovative, non-audio/visual communication technologies. The technology stems from over a decade of research in haptics, led by a team from some of the world's most renowned institutions.    Robert also serves as an honorary visiting researcher at the Manipulation and Touch Laboratory, Intelligent Systems and Networks Research Group, Imperial College London, where he continues to contribute to groundbreaking advancements in haptic technology.   Watch the podcast on our YouTube channel: https://www.youtube.com/watch?v=hxJFW98Uivc    We invite you all to join our Startup of the Year community today to access the support, expert advice, and resources you need to elevate your startup by going to: www.est.us/join    Thank you for listening, and as always, please check out the Established website and subscribe to the newsletter at: www.est.us    Subscribe to the Startup of the Year podcast: https://podcast.startupofyear.com/    Subscribe to the Established YouTube Channel: https://soty.link/ESTYouTube   ***  Startup of the Year helps diverse, emerging startups, founding teams, and entrepreneurs push their company to the next level. We are a competition, a global community, and a resource. Startup of the Year is also a year-long program that searches the country for a geographically diverse set of startups from all backgrounds and pulls them together to compete for the title of Startup of the Year. Checkout Startup of the Year at: www.startupofyear.com       The program includes a number of in-person and virtual events, including our annual South By Southwest startup pitch event and competition. All of which culminates at our annual Startup of the Year Summit, where the Startup of the Year winner is announced, along with an opportunity at a potential investment.      Established is a consultancy focused on helping organizations with innovation, startup, and communication strategies. It is the power behind Startup of the Year. Created by the talent responsible for building the Tech.Co brand (acquired by an international publishing company), we are leveraging decades of experience to help our collaborators best further (or create) their brand & accomplish their most important goals. Check out Established at: www.established.us    Connect with us on X (formerly Twitter) - @EstablishedUs and Facebook - facebook.com/established.us  

Claire chatted to Didem Gurdur Broo from Uppsala University about how to shape the future of robotics, autonomous vehicles, and industrial automation. Didem Gurdur Broo is an Assistant Professor and Associate Senior Lecturer at the Department of Information Technology at Uppsala University. She leads the Cyber-physical Systems Lab, directing research on intelligent systems like collaborative robots, autonomous vehicles, and smart cities. Didem is a computer scientist with a PhD in mechatronics, which can give you an idea about how much she loves to talk about the future and emerging technologies. She dreams a better world and actively works on improving inequalities regardless of their nature. Join the Robot Talk community on Patreon: https://www.patreon.com/ClaireAsher

Claire chatted to Kirstin Petersen from Cornell University about how robots can work together to achieve complex behaviours. Kirstin Petersen is an Associate Professor in the School of Electrical and Computer Engineering at Cornell University. Her lab, the Collective Embodied Intelligence Lab, is focused on design and coordination of robot collectives able to achieve complex behaviors beyond the reach of an individual, and corresponding studies on how social insects do so in nature.  Petersen did her postdoc at the Max Planck Institute for Intelligent Systems and her PhD at Harvard University and the Wyss Institute for Biologically Inspired Engineering. Join the Robot Talk community on Patreon: https://www.patreon.com/ClaireAsher

Support the show to get full episodes and join the Discord community. Joe Monaco and Grace Hwang co-organized a recent workshop I participated in, the 2024 BRAIN NeuroAI Workshop. You may have heard of the BRAIN Initiative, but in case not, BRAIN is is huge funding effort across many agencies, one of which is the National Institutes of Health, where this recent workshop was held. The BRAIN Initiative began in 2013 under the Obama administration, with the goal to support developing technologies to help understand the human brain, so we can cure brain based diseases. BRAIN Initiative just became a decade old, with many successes like recent whole brain connectomes, and discovering the vast array of cell types. Now the question is how to move forward, and one area they are curious about, that perhaps has a lot of potential to support their mission, is the recent convergence of neuroscience and AI... or NeuroAI. The workshop was designed to explore how NeuroAI might contribute moving forward, and to hear from NeuroAI folks how they envision the field moving forward. You'll hear more about that in a moment. That's one reason I invited Grace and Joe on. Another reason is because they co-wrote a position paper a while back that is impressive as a synthesis of lots of cognitive sciences concepts, but also proposes a specific level of abstraction and scale in brain processes that may serve as a base layer for computation. The paper is called Neurodynamical Computing at the Information Boundaries, of Intelligent Systems, and you'll learn more about that in this episode. Joe's NIH page. Grace's NIH page. Twitter: Related papers Neurodynamical Computing at the Information Boundaries of Intelligent Systems. Cognitive swarming in complex environments with attractor dynamics and oscillatory computing. Spatial synchronization codes from coupled rate-phase neurons. Oscillators that sync and swarm. Mentioned A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications. Recalling Lashley and reconsolidating Hebb. BRAIN NeuroAI Workshop (Nov 12–13) NIH BRAIN NeuroAI Workshop Program Book NIH VideoCast – Day 1 Recording – BRAIN NeuroAI Workshop NIH VideoCast – Day 2 Recording – BRAIN NeuroAI Workshop Neuromorphic Principles in Biomedicine and Healthcare Workshop (Oct 21–22) NPBH 2024 BRAIN Investigators Meeting 2020 Symposium & Perspective Paper BRAIN 2020 Symposium on Dynamical Systems Neuroscience and Machine Learning (YouTube) Neurodynamical Computing at the Information Boundaries of Intelligent Systems | Cognitive Computation NSF/CIRC Community Infrastructure for Research in Computer and Information Science and Engineering (CIRC) | NSF - National Science Foundation THOR Neuromorphic Commons - Matrix: The UTSA AI Consortium for Human Well-Being 0:00 - Intro 25:45 - NeuroAI Workshop - neuromorphics 33:31 - Neuromorphics and theory 49:19 - Reflections on the workshop 54:22 - Neurodynamical computing and information boundaries 1:01:04 - Perceptual control theory 1:08:56 - Digital twins and neural foundation models 1:14:02 - Base layer of computation

This episode features special guest, Tom Sodestrom, AWS Enterprise Strategist, speaking on the latest trends in AI and edge computing. Tom shares his insights on the upcoming trends in the next 5-10 years, including the rise of generative AI, increased data volume and importance, productive edge computing, and digital twins and simulation at scale.

The Smart 7 is an award winning daily podcast that gives you everything you need to know in 7 minutes, at 7 am, 7 days a week...With over 16 million downloads and consistently charting, including as No. 1 News Podcast on Spotify, we're a trusted source for people every day and the Sunday 7 won a Gold Award as “Best Conversation Starter” in the International Signal Podcast Awards If you're enjoying it, please follow, share, or even post a review, it all helps...Today's episode includes the following guests:Guests Jared Isaacman - Billionaire Spaceman Sarah Gillis - Senior Space Engineer for SpaceX Mark Strassman - CBS News Senior Correspondent Will Guyatt - The Smart 7's Tech Guru Anthony Albanese - Australian Prime Minister Minna Peltapuro - Finnish Clinical Neuropsychologist Iain Cameron - Snow Expert, and the author of “The Vanishing Ice”Professor Steve Turner - President of the Royal College of Paediatrics and Child HealthKatherine Jenner - The Obesity Health Alliance Rhydian Jones - Motoring expert for insurers Confused dot com Gerard De Melo - Project Leader at the Department of Artificial Intelligence and Intelligent Systems at the Hasso Plattner InstituteContact us over at X or visit www.thesmart7.comPresented by Ciara Revins, written by Liam Thompson and produced by Daft Doris. Hosted on Acast. See acast.com/privacy for more information.

Ben Bland expressively explores emotive AI's shaky scientific underpinnings, the gap between reality and perception, popular applications, and critical apprehensions. Ben exposes the scientific contention surrounding human emotion. He talks terms (emotive? empathic? not telepathic!) and outlines a spectrum of emotive applications. We discuss the powerful, often subtle, and sometimes insidious ways emotion can be leveraged. Ben explains the negative effects of perpetual positivity and why drawing clear red lines around the tech is difficult. He also addresses the qualitative sea change brought about by large language models (LLMs), implicit vs explicit design and commercial objectives. Noting that the social and psychological impacts of emotive AI systems have been poorly explored, he muses about the potential to actively evolve your machine's emotional capability. Ben confronts the challenges of defining standards when the language is tricky, the science is shaky, and applications are proliferating. Lastly, Ben jazzes up empathy as a human superpower. While optimistic about empathic AI's potential, he counsels proceeding with caution. Ben Bland is an independent consultant in ethical innovation. An active community contributor, Ben is the Chair of the IEEE P7014 Standard for Ethical Considerations in Emulated Empathy in Autonomous and Intelligent Systems and Vice-Chair of IEEE P7014.1 Recommended Practice for Ethical Considerations of Emulated Empathy in Partner-based General-Purpose Artificial Intelligence Systems.A transcript of this episode is here.

Sometimes the only way to show that you love is to complain and nitpick, and that's exactly what Caitlin and Mark do with Fire Emblem--a game they both enjoy but think is sometimes borderline absurd. What We're Playing01:04 Mark: Tactical Breach Wizards (Suspicious Developments, 2024)08:47 Caitlin: Risk of Rain 2: Seekers of the Storm (Gearbox, 2024)13:14 GOOF: Metroid (R&D Team 1 and Intelligent Systems, 1986) and Metroid: Zero Mission (R&D Team 1, 2004)25:10 Feature Game: Fire Emblem: Three Houses (Intelligent Systems, 2019)SHOUT50:51 Caitlin: Goblin Cleanup (Crisalu)52:13 Mark: Capcom Fighting Collection 2 (Capcom)

Original Show Notes------Sean and Punya welcome special guests Dr. Scotty Craig (ASU) and Dr. Ryan Baker (Penn) to discuss rapidly evolving field of Artificial Intelligence (AI), machine learning, and what implications it may have for educationGuest InformationDr. Scotty CraigIs an associate professor of human systems engineering within The Polytechnic School of the Ira A. Fulton Schools of Engineering at Arizona State University. Dr. Craig is a learning engineer and has investigated research areas of emotion and learning, multimedia learning, and intelligent tutoring systems (ITS)in both laboratory and applied classroom settings. Scotty is also a fellow member of our own AI in Education Learning Futures Collaborative here at ASU.Dr. Ryan BakerIs a professor of education and computer science at the University of Pennsylvania, and also directs the Penn Center for Learning Analytics.Dr. Baker researches how students use and learn from educational games, intelligent tutors, and other kinds of educational software. Drawing on the fields of educational data mining, learning analytics, and human–computer interaction, he develops methods for mining the data that come out of the interactions between students and educational software. He then uses this information to improve our understanding of how students respond to educational software, and how these responses influence their learning.Topics discussed:UNESCO publications on Artificial Intelligence in educationMaturity of AI in Education from both a technical perspective and practical / pedagogical perspectiveParsing student behaviors in moocs and other environments, including one that caught our eye, what Dr. Baker called “wtf” behaviorsCalls for future developments of AI to be grounded in a human-centered approachAlgorithmic bias, challenges, pitfalls and opportunitiesHow does a system like ChatGPT from Open AI impact the possible future of online learning and behavior?Big picture idea, What are we gaining and losing in seeing ourselves as essentially streams of data?Resources and Links:-Chiou, E. K., & Lee, J. D. (2021). Trusting automation: Designing for responsivity and resilience. Human factors, 0018720821100999-Penn Center for Learning Analytics-Algorithmic Bias in Education-U Penn Learning Analytics (Online) Master of Science in Education Degree Program MS in Human Systems Engineering with a Concentration in Intelligent Systems at ASUThe Intelligent Systems Concentration provides students with a Master of Science in Human Systems Engineering that prepares them with the skills needed to improve our world by creating innovative technology-based systems that integrate into human environments. Our faculty provide a guided experience with training in theory, development, and evaluation. For more information, check out our website or email  Dr. CraigLink: https://poly.engineering.asu.edu/hse/ms/

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Title: Paper Mario: The Thousand-Year Door (ペーパーマリオRPG, Paper Mario RPG) [Wikipedia] [IMDb] Developer(s): Intelligent Systems, Tose (assisting) Publisher: Nintendo Designer(s): Masahiko Nagaya, Ryota Kawade (original) Platform: Nintendo Switch Release date: May 23, 2024 PROMO: Collateral Cinema Movie Podcast (@CCinemaPodcast) SHOWNOTES: Running late on this one, but Ash finally has the chance to talk about the 2024 remake of Paper Mario: The Thousand-Year Door on Switch! 20 years following its critically acclaimed release on the GameCube, how does this turned-based RPG set in a paper-based version of the Mario universe hold up today, and how does the re-release improve on the title many consider the peak of Mario RPGs? Find out now on our latest Game Launch review, and stay tuned for our discussion on Elden Ring: Shadow of the Erdtree very soon, as well as our conclusion of The Great Ace Attorney Chronicles! Collateral Gaming is on Facebook, Instagram, and Twitter, and is on Podbean, Apple Podcasts, Spotify, Google Podcasts, YouTube, iHeartRadio, Chill Lover Radio, and wherever else you get your podcasts! Collateral Media merch is now available on TeePublic! Check out everything from shirts and hats, to stickers and even tapestries, at our affiliate link now: teepublic.com/stores/collateral-media-group (Collateral Gaming is a Collateral Media Podcast. Intro song is a license-free beat by Quality_Online_Media from Pixabay. All music and game clips are owned by their respective creators and are used for educational purposes only. Please don't sue us; we're poor!)

Daniel and Anthony review Paper Mario: The Thousand-Year Door for Nintendo Switch [23:22]. The game is a remake of the 2004 Nintendo GameCube game and developed by Intelligent Systems. Prior to the review, Daniel and Anthony provide a recap of everything announced during the June Nintendo Direct. Paper Mario: The Thousand-Year Door is now available to purchase on Nintendo Switch systems both in digital and physical formats. Review code provided by Nintendo. Watch and listen to The Movie Podcast now on all podcast platforms, YouTube, and TheMoviePodcast.ca SUPPORT THE MOVIE PODCAST ON PATREON! Contact: hello@themoviepodcast.ca FOLLOW US Daniel on X, Instagram, Letterboxd Shahbaz on X, Instagram, and Letterboxd Anthony on X, Instagram, and Letterboxd The Movie Podcast on X, Instagram, TikTok, Discord, and Rotten Tomatoes Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us a Text Message. Causal AI: The Melting Pot. Can Physics, Math & Biology Help Us?What is the relationship between physics and causal models?What can science of non-human animal behavior teach causal AI researchers?Bernhard Schölkopf's rich background and experience allow him to combine perspectives from computation, physics, mathematics, biology, theory of evolution, psychology and ethology to build a deep understanding of underlying principles that govern complex systems and intelligent behavior.His pioneering work in causal machine learning has revolutionized the field, providing new insights that enhance our ability to understand causal relationships and mechanisms in both natural and artificial systems.In the episode we discuss:Does evolution favor causal inference over correlation-based learning?Can differential equations help us generalize structural causal models?What new book is Bernhard working on?Can ethology inspire causal AI researchers?Ready to dive in?About The GuestBernhard Schölkopf, PhD is a Director at Max Planck Institute for Intelligent Systems. He's one of the cofounders of European Lab for Learning & Intelligent Systems (ELLIS) and a recepient of the ACM Allen Newell Award, BBVA Foundation Frontiers of Knowledge Award, and more. His contributions to modern machine learning are hard to overestimate. He's a an affiliated professor at ETH Zürich, honorary professor at the University of Tübingen and the Technical University Berlin. His pioneering work on causal inference and causal machine learning inspired thousands of researchers and practitioners worldwide. Connect with Bernhard:Bernhard on Twitter/XBernhard on All Business. No Boundaries.Welcome to All Business. No Boundaries, a collection of supply chain stories by DHL...Listen on: Apple Podcasts SpotifySupport the Show.Causal Bandits PodcastCausal AI || Causal Machine Learning || Causal Inference & DiscoveryWeb: https://causalbanditspodcast.comConnect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/Join Causal Python Weekly: https://causalpython.io The Causal Book: https://amzn.to/3QhsRz4

About: Super Smash Bros. Ultimate is truly a ‘one-in-a-lifetime' game that combines the legacies of so many video game properties into one, for lack of a better word, ultimate package. It's almost unbelievable how many video game series' are represented, especially through the games music, which includes a whopping 1018 songs! All of this episodes tracks are new arrangements, made specifically for the Smash Bros. series, and are all featured in Super Smash Bros. Ultimate. 00:00 - Aquarius Arrangement by Intelligent Systems > 04:29 - Title Theme - Animal Crossing Arrangement by ACE >  07:13 - Guts Man Stage Arrangement by ACE >  09:54 - Athletic Theme - Super Mario World Arrangement by Hirokazu Ando >  12:43 - Halland / Dalarna - Minecraft Dungeons Arrangement by ACE >  16:48 - World Map - Pikmin 2 Arrangement by Yasunori Mitsuda >  19:46 - ARMS Grand Prix Official Theme Song Arrangement by Atsuko Asahi >  23:21 - Out Of Time Arrangement by noisycroak Co., Ltd. >  27:42 - Brinster Depths Arrangement by Yasushi Asada >  32:01 - Crash Man Stage Arrangement by Nobuko Toda >  35:32 - Let's Go To Seoul! - Fatal Fury 2 Arrangement by Michiko Naruke >  39:37 - Moonsider 1st Arrangement by Yoko Shimomura >  43:14 - WarioWare, Inc. Arrangement by Keigo Ozaki >  46:10 - Mother 3 Love Theme Arrangement by Shogo Sakai >  49:40 - Dark World (Brawl) Arrangement by Arata Iiyoshi >  52:31 - White Land Arrangement by Arata Iiyoshi >  55:06 - Battle Scene / Final Boss Arrangement by Motoi Sakuraba >  58:57 - Divine Bloodlines Arrangement by noisycroak Co., Ltd. >  pixelbeatpod@icloud.com > 

(3:40) - The Secret to Super-Fast Robot Vision This episode was brought to you by Murata, the market leader in leading-edge electronics components. Click HERE to learn more about Murata's contributions to the future of autonomous vehicles.   Become a founding reader of our newsletter: read.thenextbyte.com As always, you can find these and other interesting & impactful engineering articles on Wevolver.com.

1225. May 9 2024.  Civilisations in the Timescape. Dispel and expel interfering systems.

We're going back to the beginning of the Fire Emblem series by looking at Fire Emblem: Shadow Dragon and the Blade of Light (1990). As part of its story, we'll look back at the beginning of its development studio, Intelligent Systems, and talk about how Fire Emblem was conceived. Our guests, David Seley and Keefer Maresh share thier experiences with the series, and we play a game trying to deduce which are actually characters in the series. Finally, we'll wrap things up by talking about the legacy of the Fire Emblem series.

1221 April 11, 2024.  Receivers. Correct alignment, correcting bloodline patterns. Your new light space..

To help celebrate International Women's Day and Women's History Month, Rob spoke with Spanish computer scientist Nuria Oliver about her work to date, such as using big data systems to help unbanked people access credit in developing nations or combating bias in AI systems. Nuria recounted how she first became interested in computing and turned that interest into a career. They also discussed the gender imbalance in computing today and Nuria offered some thought-provoking suggestions as to how these issues might be addressed. Nuria is also a fellow with Association of Computing Machinery, so thanks to the ACM for setting up the interview.   Here are links to projects mentioned during the podcast: ELLIS – European Laboratory for Learning and Intelligent Systems https://ellis.eu Data-Pop Alliance https://datapopalliance.org Nuria Oliver's Personal Website https://www.nuriaoliver.com Association of Computing Machinery (ACM) https://www.acm.org   To keep up to date with The Machine, you can find the podcast on X/Twitter @machine_podcast or you can connect with Rob O'Connor via LinkedIn

Fire Emblem Awakening, developed by Intelligent Systems and released for the Nintendo 3DS in 2012, is a tactical role-playing game that has set a high standard for the genre. The game follows the story of Prince Chrom and the player-created character, known as the tactician, as they rally allies to save the kingdom of Ylisse from impending doom. --- Support this podcast: https://podcasters.spotify.com/pod/show/ongamecast/support

"Advance Wars," released in 2001 for the Game Boy Advance, is a critically acclaimed turn-based strategy game developed by Intelligent Systems and published by Nintendo. Set in the fictional continent of Cosmo Land, the game revolves around tactical battles between four nations: Orange Star, Blue Moon, Green Earth, and Yellow Comet, against the invading forces of Black Hole. Players assume the role of tactical commanders, directing units across grid-based maps to achieve various objectives, such as defeating all enemy forces or capturing their headquarters. Hosted on Acast. See acast.com/privacy for more information.

"Advance Wars," released in 2001 for the Game Boy Advance, is a critically acclaimed turn-based strategy game developed by Intelligent Systems and published by Nintendo. Set in the fictional continent of Cosmo Land, the game revolves around tactical battles between four nations: Orange Star, Blue Moon, Green Earth, and Yellow Comet, against the invading forces of Black Hole. Players assume the role of tactical commanders, directing units across grid-based maps to achieve various objectives, such as defeating all enemy forces or capturing their headquarters. Hosted on Acast. See acast.com/privacy for more information.

Side Quests is back and this episode's host is a musician, video game composer, podcast editor and wielder of the Form Baton, Daniel Sanford aka Douibyorthst! The game he is talking about today is WarioWare: Smooth Moves by Nintendo SPD and Intelligent Systems! You can also find him on twitter and check out his podcast here and his music here! We have a Patreon! Gain access to episode shout outs, bonus content, early downloads of regular episodes, an exclusive rss feed and more! Click here! You can find the show on Twitter, Bluesky, Instagram and YouTube! Please rate and review us on Apple Podcasts! Rate us on Spotify! Wanna join the Certain POV Discord? Click here!

On the inaugural episode of bonus show Cutting Room Floor, Jala is joined by her Fire Emblem sherpa Phred to discuss what makes this SRPG series special. Phred was originally going to be on episode 35 of Jala-chan's Place (https://jalachan.com/35) to discuss this IP, but was unable to record at that time due to some unexpected issues. Here he is given space to chat about these games! Be sure to follow Phred's adventures via Twitter (https://twitter.com/phredlevi)! All future episodes of Cutting Room Floor may be found as member perks on our Ko-Fi (https://ko-fi.com/fireheartmedia). Check out the member perks! Next month's Cutting Room Floor will feature a discussion between Dave and Jala about the cultural aspects of Godzilla Minus One which did not fit the flow of the Monster Dear Monster episode (https://www.monsterdear.monster/248) about the movie. Special Guest: Phred.

In bisherigen Folgen haben die Podcaster bereits Castlevania: Symphony of the Night und Metroid Prime besprochen, aber Christian und Fabian hatten nochmal Lust, sich einen Vertreter des Metroidvania-Genres vorzunehmen. Welcher es sein sollte, haben die Unterstützer entschieden: Aus der Auswahl Super Metroid, Metroid, Super Castlevania, Castlevania III setzte sich Super Metroid durch, der Intelligent Systems' SNES-Titel von 1994, der maßgeblich dazu beitrug, die Regeln des Genres zu codifizieren. Fabian und Chris besprechen das Gameplay, die Vorgeschichte und die Welt von Super Metroid. Infos zum Spiel: Thema: Super Metroid, 1994 Plattform: SNES Entwickler:Nintendo R&D1, Intelligent Systems Publisher: Nintendo Genre: Action-Adventure/Metroidvania Designer: Yoshio Sakamoto, Tomomi Yamane, Makoto Kano Musik: Kenji Yamamoto Podcast-Credits: Sprecher: Fabian Käufer, Christian Schmidt Audioproduktion: Johannes DuBois, Christian Schmidt Titelgrafik: Paul Schmidt Intro, Outro: Nino Kerl (Ansage); Trash80.com (Musik) Unterstützen: Die Entstehung dieser Folge wurde finanziert durch die Unterstützung unser Hörer auf den Plattformen Steady oder Patreon.

How would flying on Mars be different? Neil deGrasse Tyson and comedian Matt Kirshen explore aeronautics, aerodynamics, airplanes and more with NASA aerospace engineer and author Wendy Okolo, PhD. NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/flying-cars-pilotless-planes-with-nasa-engineer-wendy-okolo-phd/Thanks to our Patrons David Hemsath, Becky Basmadijian, Etopirynka aka. Kate, Jaime Parker, Liuba Tereshko, Jeremy Seeman, and Carol Flynn for supporting us this week.Photo Credit: NASA/MIT/Aurora Flight Sciences, Public domain, via Wikimedia Commons

Much of the AI you hear about these days is about large language models trained to look for commonalities and best next guesses. This causes a lot of fear around how AI will be abused - Will the bots take over? Are the inputs unbiased and accurate? Will my teenager cheat on his school essay? But we can take a more thoughtful and opportunistic view of AI, specifically in areas where we can teach AI empathy. Yes, I said teach AI empathy. My guest today, Dr. Michelle Zhou, and I discuss how cognitive AI is different from large learning model AI, how these systems learn empathy, and how they empower both companies and individuals without the resources for expensive solutions. We discuss why empathy is actually even more necessary, not less, in the age of AI. And most importantly, we chat about why everyone needs to get involved in AI - why we need to "democratize it", as Dr. Zhou states, in order to be more inclusive and learn how to respond to a variety of needs and people. Dr. Zhou reveals why she believes basic customer service chatbots are one of the worst uses of AI out there!To access the episode transcript, please click on the episode title at www.TheEmpathyEdge.com Key Takeaways:AI currently looks for commonalities in people and data, as it learns to be more empathetic, we need to teach it how to recognize differences, not just those similarities. The more we all interact with AI, the more that AI is going to be smarter about understanding individual differences.There is a time and place for canned responses by a ChatBot, but often people will respond better if there is a specific response to their unique questions and needs. "In order for AI to be inclusive, then we need more people to be there. If there are more people participating, then you have more diversity. The more involvement from a human side, the more inclusive AI can be." — Dr. Michelle Zhou About Michelle Zhou, Co-Founder & CEO, Juji Inc.Dr. Michelle Zhou is a Co-Founder and CEO of Juji, Inc., an Artificial Intelligence (AI) company located in Silicon Valley, specializing in building cognitive conversational AI technologies and solutions that enable the creation and adoption of empathic and empathetic AI agents. Prior to starting Juji, Michelle led the User Systems and Experience Research (USER) group at IBM Research – Almaden and then the IBM Watson Group. Michelle's expertise is in the interdisciplinary area of intelligent user interaction (IUI), including conversational AI systems and personality analytics. She is an inventor of the IBM Watson Personality Insights and has led the research and development of at least a dozen products in her areas of expertise. Michelle has published over 100 peer-reviewed, refereed scientific articles and 45+ patents. Michelle is the Editor-in-Chief of ACM Transactions on Interactive Intelligent Systems (TiiS) and an Associate Editor of ACM Transactions on Intelligent Systems and Technology (TIST). She received a Ph.D. in Computer Science from Columbia University and is an ACM Distinguished Scientist. Dr. Zhou has been featured in Axios, Fortune, New York Times, Christian Science Monitor, and spoke at Fortune Brainstorm Tech last year.Connect with Michelle Zhou Website: https://juji.io/ X: https://twitter.com/senseofsnow2011 LinkedIn: https://www.linkedin.com/in/mxzhou/ Join the tribe, download your free guide! Discover what empathy can do for you: http://red-slice.com/business-benefits-empathy Connect with Maria: Get the podcast and book: TheEmpathyEdge.comLearn more about Maria and her work: Red-Slice.comHire Maria to speak at your next event: Red-Slice.com/Speaker-Maria-RossTake my LinkedIn Learning Course! Leading with EmpathyLinkedIn: Maria RossInstagram: @redslicemariaX: @redsliceFacebook: Red SliceThreads: @redslicemaria

This week on All Things Nintendo, Brian delivers his review of WarioWare: Move It, the latest game in Nintendo and Intelligent Systems' zany microgame compilation series. After that, Kyle gives his early impressions of Super Mario RPG. The show wraps with some more impressions, this time from Metal Gear Solid Master Collection Vol. 1. If you'd like to follow Brian on social media, you can do so on his Instagram/Threads @BrianPShea or Twitter @BrianPShea. You can follow Kyle on Twitter: @KyleMHilliard and BlueSky: @KyleHilliard. The All Things Nintendo podcast is a weekly show where we celebrate, discuss, and break down all the latest games, news, and announcements from the industry's most recognizable name. Each week, Brian is joined by different guests to talk about what's happening in the world of Nintendo. Along the way, they'll share personal stories, uncover hidden gems in the eShop, and even look back on the classics we all grew up with. A new episode hits every Friday! Be sure to subscribe to All Things Nintendo on your favorite podcast platform. The show is available on Apple Podcasts, Spotify, Google Podcasts, and YouTube. 00:00:00 – Introduction 00:01:34 – Pokémon Scarlet & Violet Expansion Release Date 00:05:53 – Sakurai Speculates on Future of Smash Bros. 00:10:57 – Mario Kart 8 Deluxe Final Wave of DLC 00:15:50 – Hideki Kamiya and Shinji Mikami Collaborating? 00:18:27 – New Retro Games Added to Switch Online 00:22:32 – Twitch Ending Switch Support 00:24:04 – Atari Acquires Digital Eclipse 00:30:09 – WarioWare: Move It! Review 00:47:26 – Super Mario RPG Preview 00:57:31 – Metal Gear Solid Master Collection Vol. 1 Impressions 01:09:13 – eShop Gem of the Week: Pronty If you'd like to get in touch with the All Things Nintendo podcast, you can email AllThingsNintendo@GameInformer.com, messaging Brian on Instagram (@BrianPShea), or by joining the official Game Informer Discord server. You can do that by linking your Discord account to your Twitch account and subscribing to the Game Informer Twitch channel. From there, find the All Things Nintendo channel under "Community Spaces." For Game Informer's other podcast, be sure to check out The Game Informer Show with hosts Alex Van Aken, Marcus Stewart, and Kyle Hilliard, which covers the weekly happenings of the video game industry!

On this week's episode of The RPG Cave, Garret and Ryan talk about the history of Intelligent Systems! ★ LINKS ★ ► Support Carpool Gaming on Patreon: https://patreon.com/carpoolgaming ► Join our amazing Discord community: https://discord.com/invite/WR3qcXJq9n ► Get your Carpool Gaming merch: https://carpoolgaming.com/ ► Check us out on Twitch: https://twitch.tv/carpoolgaminglive ► Subscribe on YouTube: https://youtube.com/carpoolgaming ► Follow on Twitter: https://twitter.com/carpoolgaming Thanks so much to everyone who supports us on https://patreon.com/carpoolgaming ★ ULTIMATE PRODUCERS ★ Robby Bobby Miller: https://apple.co/3Pgcy6m Tony Baker: https://youtube.com/quest4pixels Johnathan Brown: https://linktr.ee/pme.jib Lee Navarro: https://www.phoenixoverdrive.com/ Trucker Sloth Cwagmire ★ PLATINUM PRODUCERS ★ RJ Kern ★ GOLD MEMBERS ★ Adam K Anna AwesomeDave1337 Bowsah Brian Eck Brian Reese Cecily Carrozza Dan & Luma Dannohh Drellesh Emily O'Kelley Hoppel Jon32 Marcus O'Neill Markus McCracken MoSpankins Peje EP Tim Aulph

EPISODE 1787: In this KEEN ON show, Andrew talks to Michael L. Littman, author of CODE TO JOY, about why - in our age of AI - everyone should learn a little computer programmingMichael L. Littman, Ph.D. is a University Professor of Computer Science at Brown University and Division Director of Information and Intelligent Systems at the National Science Foundation. He studies machine learning and decision-making under uncertainty and has earned multiple awards for his teaching and his research. Littman has chaired major conferences in artificial intelligence and machine learning and is a Fellow of both Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery. He was selected by the American Association for the Advancement of Science as a Leadership Fellow for Public Engagement with Science in Artificial Intelligence, has a popular youtube channel and appeared in a national TV commercial in 2016.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.

It's time for us to continue our run-through on the Fire Emblem series and this time we're hitting two games in one. Path of Radiance is coveted as one of the best (if not the best) Fire Emblem and it super sucks that it's system-locked (looking at you Intelligent Systems). It's hard to pin down a singular reason as to why this game was so successful (deep characters, rich lore, and a lot of unique systems). Thankfully, ActualLizard and Professor Bopper are back again to help tag team what makes this duo so special. Oh, and Path of Radiance and Radiant Dawn is the best Fire Emblem duology. There. I said it. Come at me. *Footage from @ProfessorBopper Thanks buddy! *Whitty commentary from @actuallizard

Most Intro to Machine Learning courses cover supervised learning and unsupervised learning. But did you know there is also a third type of machine learning, which was used in the development of ChatGPT and is likely to become increasingly important in the not too distant future?In this episode, Prof Michael Littman joins Dr Genevieve Hayes to discuss reinforcement learning – the other type of machine learning – as well as his new book, Code to Joy: Why Everyone Should Learn a Little Programming.Guest BioProf. Michael Littman is an award-winning Professor of Computer Science at Brown University, specialising in reinforcement learning; is co-creator of the Machine Learning and Reinforcement Learning courses offered as part of Georgia Tech's Online Master of Science in Computer Science (OMSCS) program; and is currently serving as Division Director for Information and Intelligent Systems at the (US) National Science Foundation. He is also the author of Code to Joy: Why Everyone Should Learn a Little Programming.Talking PointsWhat is reinforcement learning and why has it traditionally been seen as “the other type of machine learning”?Current and future applications of reinforcement learning.How reinforcement learning is being used to create business value.Michael's new book, Code to Joy and why everyone should learn to code.How non-programmers can get started with coding and what it would mean for the world if more people did code.LinksMichael's WebsiteFollow Michael on TwitterComputing Up PodcastMachine Learning A Cappella (Thriller Parody)Connect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

Genevieve Hayes Consulting Episode 23: Reinforcement Learning – The Other Type of Machine Learning Most Intro to Machine Learning courses cover supervised learning and unsupervised learning. But did you know there is also a third type of machine learning, which was used in the development of ChatGPT and is likely to become increasingly important in the not too distant future?In this episode, Prof Michael Littman joins Dr Genevieve Hayes to discuss reinforcement learning – the other type of machine learning – as well as his new book, Code to Joy: Why Everyone Should Learn a Little Programming. Guest Bio Prof. Michael Littman is an award-winning Professor of Computer Science at Brown University, specialising in reinforcement learning; is co-creator of the Machine Learning and Reinforcement Learning courses offered as part of Georgia Tech's Online Master of Science in Computer Science (OMSCS) program; and is currently serving as Division Director for Information and Intelligent Systems at the (US) National Science Foundation. He is also the author of Code to Joy: Why Everyone Should Learn a Little Programming. Talking Points What is reinforcement learning and why has it traditionally been seen as “the other type of machine learning”?Current and future applications of reinforcement learning.How reinforcement learning is being used to create business value.Michael’s new book, Code to Joy and why everyone should learn to code.How non-programmers can get started with coding and what it would mean for the world if more people did code. Links Michael’s WebsiteFollow Michael on TwitterComputing Up PodcastMachine Learning A Cappella (Thriller Parody) Connect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE The post Episode 23: Reinforcement Learning – The Other Type of Machine Learning first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.

Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Listen on PoduramaMy Intuitive Bayes Online Courses1:1 Mentorship with meToday, we're gonna learn about probabilistic numerics — what they are, what they are good for, and how they relate computation and inference in artificial intelligent systems.To do this, I have the honor of hosting Philipp Hennig, a distinguished expert in this field, and the Chair for the Methods of Machine Learning at the University of Tübingen, Germany. Philipp studied in Heidelberg, also in Germany, and at Imperial College, London. Philipp received his PhD from the University of Cambridge, UK, under the supervision of David MacKay, before moving to Tübingen in 2011. Since his PhD, he has been interested in the connection between computation and inference. With international colleagues, he helped establish the idea of probabilistic numerics, which describes computation as Bayesian inference. His book, Probabilistic Numerics — Computation as Machine Learning, co-authored with Mike Osborne and Hans Kersting, was published by Cambridge University Press in 2022 and is also openly available online. So get comfy to explore the principles that underpin these algorithms, how they differ from traditional numerical methods, and how to incorporate uncertainty into the decision-making process of these algorithms.Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work at https://bababrinkman.com/ !Thank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, Tim Gasser, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian Costley, Ally Salim, Larry Gill, Ian Moran, Paul Oreto, Colin Caprani, Colin Carroll, Nathaniel Burbank, Michael Osthege, Rémi Louf, Clive Edelsten, Henri Wallen, Hugo Botha, Vinh Nguyen, Raul Maldonado, Marcin Elantkowski, Adam C. Smith, Will Kurt, Andrew Moskowitz, Hector Munoz, Marco Gorelli, Simon Kessell, Bradley Rode, Patrick Kelley, Rick Anderson, Casper de Bruin, Philippe Labonde, Michael Hankin, Cameron Smith, Tomáš Frýda, Ryan Wesslen, Andreas Netti, Riley King, Yoshiyuki Hamajima, Sven De Maeyer, Michael DeCrescenzo, Fergal M, Mason Yahr, Naoya Kanai, Steven Rowland, Aubrey Clayton, Jeannine Sue, Omri Har Shemesh, Scott Anthony Robson, Robert Yolken, Or Duek, Pavel Dusek, Paul Cox, Trey Causey, Andreas Kröpelin, Raphaël R, Nicolas Rode, Gabriel Stechschulte, Arkady, Kurt TeKolste, Gergely Juhasz, Marcus Nölke, Maggi Mackintosh, Grant Pezzolesi, Avram Aelony, Joshua Meehl, Javier Sabio, Kristian Higgins, Alex Jones, Gregorio Aguilar and Matt Rosinski.Visit

On this episode of the AI For All Podcast, Michelle Zhou, Co-Founder and CEO of Juji, joins Ryan Chacon and Neil Sahota to discuss cognitive AI. They talk about the benefits of cognitive AI, artificial empathy, robots vs chatbots, psychographics in AI, why enterprises should adopt cognitive AI, no-code AI, AI as an assistant, and the future of AI. Dr. Michelle Zhou is a co-founder and CEO of Juji. Prior to starting Juji, Michelle led the User Systems and Experience Research (USER) group at IBM Research – Almaden and then the IBM Watson Group. Michelle's expertise is in the interdisciplinary area of intelligent user interaction (IUI), including conversational AI systems and personality analytics. She is an inventor of the IBM Watson Personality Insights and has led the research and development of at least a dozen products in her areas of expertise. Michelle has published over 100 peer-reviewed, refereed scientific articles and 45+ patents. Michelle is the Editor-in-Chief of ACM Transactions on Interactive Intelligent Systems (TiiS) and an Associate Editor of ACM Transactions on Intelligent Systems and Technology (TIST). She received a PhD in Computer Science from Columbia University and is an ACM Distinguished Scientist. Juji is an AI company located in Silicon Valley, specializing in building cognitive conversational AI technologies and solutions that enable the creation and adoption of empathic and empathetic AI agents. Their goal is to democratize AI and enable every organization, with or without AI or IT resources, to rapidly generate, customize, and operate AI beings that help scale out their high-touch, high-stakes services with a human touch. More about Juji: https://juji.io/ Key Questions and Topics from This Episode: (00:00) Intro to the AI For All Podcast (01:15) Intro to Michelle Zhou and Juji (01:48) What is cognitive AI? (03:00) Benefits of cognitive AI (05:03) Artificial empathy (16:28) Robots vs chatbots (19:26) Psychographics in AI (27:13) Why should enterprises adopt cognitive AI? (31:31) No-code AI (35:19) AI as an assistant (37:13) Future of AI Subscribe on YouTube: https://bit.ly/43dYQV9 Join Our Newsletter: https://ai-forall.com Follow Us on Twitter: https://twitter.com/_aiforall

Jala is joined by Adelaide (Back On My BS) and Nick Fakhoury (Friday Night Gamecast) to talk about the Fire Emblem video game series and its impact on the tactical RPG sub-genre. Mentioned during the episode: * Silver Ghost, influence for Camelot's Shining series (https://youtu.be/ni0-MvuH55A) * Kill Your Darlings or How I Learned to Stop Caring and Love Permadeath (https://www.youtube.com/watch?v=OB8Vq_DUpA4) Support this show via Ko-fi! Just like Patreon, there are subscription tiers (with bonus content!) in addition to the ability to drop us a one-time donation. Every little bit helps us put out better quality content and keep the lights on, and gets a shout out in a future episode. Check out ko-fi.com/fireheartmedia (https://ko-fi.com/fireheartmedia) for the details! Don't forget to rate & review us on your podcasting platform of choice~ Jala Prendes - @jalachan (https://twitter.com/jalachan) The Level (https://thelevelpodcast.com/hosts/jala) Ko-fi (https://ko-fi.com/fireheartmedia) Adelaide - Twitch (https://www.twitch.tv/sisteradelaide) YouTube (https://www.youtube.com/@backonmybs6136) Nick Fakhoury - @nikolaiatknight (https://twitter.com/nikolaiatknight) Friday Night Gamecast (https://fridaynightgamecast.buzzsprout.com/) Twitch (https://www.twitch.tv/nikolaiatknight) Special Guests: Adelaide (Formerly Jamie) and Nick Fakhoury.

The uses and abuses of ChatGBT artificial intelligence language model have taken the collective imagination by storm. Apocalyptic predictions of the singularity, when technology becomes uncontrollable and irreversible, frighten us as we imagine a future where human intelligence is irrelevant. Prof. Michael Littman joins us to contextualize the advancement of artificial intelligence and debunk the paranoid rhetoric littering the public discourse. Michael has made groundbreaking research contributions enabling machines to learn from their experiences, assess the environment, make decisions, and improve their actions over time in real-world applications. His later work expanded into multi-agent systems, investigating how several AI entities can learn to cooperate, compete, or coexist in shared environments. Picture a team of robots in a factory, each with different tasks. The challenge here isn't just for each robot to do its job effectively but also to collaborate with the others, avoid collisions, and adapt to changes in real time. Emerging concepts of 'intelligence' in artificial intelligence aren't about building machines that can perform tasks faster and more accurately than humans; it is about building machines that can think, learn, and adapt - machines that aren't just tools but collaborative partners. If we examine our resistance to this emerging technology, we might catch glimpses of our unconscious fear of regression and dependency. Observation suggests most people fall into one of two groups, those who idealize a world where they are free of demands and another where they are enslaved by superiors. When we realize the fear or fantasy of regression is not the likely outcome of artificial intelligence, we are free to imagine the innumerable creative applications of the new technology and the machines that use it. MICHAEL L. LITTMAN, PhD Michael L. Littman is University Professor of Computer Science at Brown University, where he studies machine learning and decision-making under uncertainty. He has earned multiple university-level awards for teaching and his research has been recognized with three best-paper awards and three influential paper awards. Littman is a Fellow of the Association for the Advancement of Artificial Intelligence and the Association for Computing Machinery. He is currently serving as Division Director for Information and Intelligent Systems at the National Science Foundation. His book "Code to Joy: Why Everyone Should Learn a Little Programming" (MIT Press) will be released October 3rd 2023. Michael's WEBSITE Order Michael's book: Code To Joy, Why Everyone Should Learn A Little Programming by Michael L. Littman, CLICK HERE TO ORDER Philadelphia Association of Jungian Analysts, ADVANCED CLINICAL PRACTICE PROGRAM: A case seminar for experienced clinicians to read, explore and apply Jung's concepts to clinical practice: CLICK HERE FOR INFORMATION BECOME A DREAM INTERPRETER: We've created DREAM SCHOOL to teach others how to work with their dreams. A vibrant community has constellated around this mission, and we think you'll love it. Check it out.  PLEASE GIVE US A HAND: Hey folks -- We need your help. So please BECOME OUR PATRON and keep This Jungian Life podcast up and running.  SHARE YOUR DREAM WITH US: SUBMIT YOUR DREAM HERE FOR A POSSIBLE PODCAST INTERPRETATION.  SUGGEST A FUTURE PODCAST TOPIC:  Share your suggestions HERE.  FOLLOW US ON SOCIAL MEDIA:  FACEBOOK, INSTAGRAM, LINKEDIN, TWITTER, YOUTUBE INTERESTED IN BECOMING A JUNGIAN ANALYST?  Enroll in the PHILADELPHIA JUNGIAN SEMINAR and start your journey to become an analyst.  YES, WE HAVE MERCH!  Shop HERE

Guest: Eric Olson, Co-Founder & CEO at Consensus.app [@ConsensusNLP]On LinkedIn | https://www.linkedin.com/in/eric-olson-1822a7a6/On Twitter | https://twitter.com/IPlayedD1_____________________________Host: Marco Ciappelli, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining Society PodcastOn ITSPmagazine | https://www.itspmagazine.com/itspmagazine-podcast-radio-hosts/marco-ciappelli_____________________________This Episode's SponsorsBlackCloak

The most overlooked Mario Kart? The most underrated Mario Kart? Or a middling compromise between Super Mario Kart and Mario Kart 64? The Kongversation looks back at the first handheld Mario Kart game that bridged the divide between the Nintendo 64 and GameCube eras and also launched the Game Boy Advance!

James Brady, Head of Engineering at Ought.org and one of the impressive signatories on the open letter to "pause Giant AI Experiments" (in addition to: Elon Musk and some other notable minds and leaders in society including: Steve Wozniak, Co-founder, Apple Andrew Yang, Forward Party, Co-Chair, Presidential Candidate 2020, NYT Bestselling Author, Presidential Ambassador of Global Entrepreneurship Yoshua Bengio, Founder and Scientific Director at Mila, Turing Prize winner and professor at University of Montreal Stuart Russell, Berkeley, Professor of Computer Science, director of the Center for Intelligent Systems, and co-author of the standard textbook “Artificial Intelligence: a Modern Approach" Bart Selman, Cornell, Professor of Computer Science, past president of AAAI and 27559 other well known souls) helps us understand the many implications of AI, society and very importantly for us, Education. We spend more than the average time with James exploring his life as a son of teachers (who I truly admire), a Cambridge University grad and one of the earliest Y Combinator alumni. His thoughts are ones that I want to come back and listen to over and over again. I feel like the didactic impact from just this conversation is worth at least 3 or 8 listens to this one interview. I highly recommend contrasting it with Lex Fridman's interview of Sam Altman (https://www.youtube.com/watch?v=L_Guz73e6fw) or even Guy Raz's interview with him (https://podcasts.apple.com/nl/podcast/hibt-lab-openai-sam-altman/id1150510297?i=1000580232536) or even Reid Hoffman's (https://www.youtube.com/watch?v=tPJIpx3KscY). I think Tim Ferris also did one with him at one point, but I can't find it to share. Please feel free to add it to the comments or anywhere you can. James is a fascinating perspective and this interview, I believe is possibly worth listening just as much as the 3 former ones -- just saying.

After an intense race in AI development lighted by the release of ChatGPT at the end of 2022, two important things happened in the last week of March 2023: Over 1000 tech workers, such as Elon Musk, CEO of Tesla, Twitter and SpaceX, Steve Wozniak, Co-founder of Apple, Yoshua Bengio, Founder and Scientific Director at Mila, Turing Prize winner and professor at University of Montreal, Stuart Russell, Berkeley, Professor of Computer Science, director of the Center for Intelligent Systems, and co-author of the standard textbook “Artificial Intelligence: a Modern Approach",   signed a public letter that urges a pause on AI development before humanity as a society decides how humans can control the development. The first subscribers include:  As the letter states, “Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable.”  A day after this letter was published, UNESCO published a press release that calls on all governments to immediately implement the global ethical framework, which 193 Member States of Unesco has unanimously adopted. As warned by Unesco, we need to address many concerning ethical issues raised by AI innovations, in particular discrimination and stereotyping, including the issue of gender inequality, but also the fight against disinformation, the right to privacy, the protection of personal data, and human and environmental rights. And the industry cannot self-regulate, states the press release.  Healthcare is moving from the era of gathering data through digitalized systems, EHRs, sensors, and wearables to the era of mining that data for better patient outcomes and operational efficiency.  However, in order for AI and algorithms to help improve the health of many, we should strive for algorithms to be open and transparent, says Bart De Witte, founder of HIPPO AI Foundation, a renowned expert on digital transformation in healthcare in Europe, who regularly speakers and posts about technology and innovation strategy, with a particular focus on the socioeconomic impact on healthcare.  In this short discussion, recorded at the Vision Health Pioneers Demo Day on 28 March in Berlin, Bart explains: why is open and transparent AI important for the greater good in healthcare, where global medical development is going with different values and regulations about AI and data, and comments on the upcoming European Health Data Space.  Enjoy the show, and if you like what you will hear, subscribe to the podcast to be notified about new episodes automatically. Also, go to fodh.substack.com to read our newsletter, which is published roughly on a monthly basis. Newsletter: fodh.substack.com Transcript: https://www.facesofdigitalhealth.com/blog/open-ai-bart-de-witte-gpt4 Open Letter to pause all AI development: https://futureoflife.org/open-letter/pause-giant-ai-experiments/  Unesco Press release: https://www.unesco.org/en/articles/artificial-intelligence-unesco-calls-all-governments-implement-global-ethical-framework-without

⭐ My guest today is Jeff Erhardt, CEO of Mattiq. Mattiq is a materials discovery startup delivering innovative electrochemical solutions to decarbonize the fundamental building blocks that power the world. By 2024, they plan to have screened one trillion materials for deployment in real-world systems, such as cleaner fuels and chemicals. In addition, Jeff is the former… - Executive Vice President of Intelligent Systems & Industrial AI at GE - CEO of Wise.io - COO of Revolution Analytics - Creator of two sabbaticals, the last one lasting two years

Intelligent Systems' long-running series of strategy-RPGs gets even longer this week with the release of Fire Emblem Engage! Join us as we discuss the evolved tactics in this new installment, as well as the ethics of trapping ghost soldiers in Cracker Jack prize rings.Also discussed: IGF Award Nominees, Pocket Card Jockey: Ride On, Futureport 82, &Juliet

The boys were bussin' in this episode, and it's all because Fire Emblem: Engage is a really good video game. Jeff and Mike are happy and surprised with Intelligent Systems' latest. Also, Metroid Dread might be getting a sequel, SteamWorld Build looks fantastic, and more in the news. Then, the crew answers your questions and picks their favorite Game Boy boxart. Joint them, won't you?

Unfortunately, Nintendo just delayed Advance Wars 1+2: Re-Boot Camp indefinitely due to real-life circumstances. But this week, in the spirit of American sticktoitiveness (and because we didn't want to change the schedule), we're looking back at Intelligent Systems' surprisingly long-lived turn-based war strategy series. Over the course of 20 years, Advance Wars boiled down the incredibly complex design of PC war strategy games into a colorful, console-friendly experience that could still be surprisingly difficult. So join Bob Mackey, Henry Gilbert, and Chris Daniel as the crew looks back at the lighter side of inhumanity. Retronauts is a completely fan-funded operation. To support the show, and get two full-length exclusive episodes every month, as well as access to 50+ previous bonus episodes, please visit the official Retronauts Patreon at patreon.com/retronauts.