Podcasts about intelligent agents

In this conversation, Kence Anderson, Founder and CEO of Composable sits down with host, Ann Wyatt, to discusses the critical role of AI in manufacturing. From the looming retirement crisis to the critical need for preserving tribal knowledge, Kence shares why AI, machine teaching, and innovative workforce training are more essential than ever. He highlights how manufacturers can empower engineers and operators, ensure business continuity, and build a future-ready workforce. Kence shares insights on overcoming talent challenges and offers advice for tenured manufacturing executives on the best ways they can leverage AI for the future of work and advice for early career professionals navigating their paths in the industry, alike. In This Episode:-00:00: Introduction to Kence Anderson and Composable-02:51: The Importance of Preserving Tribal Knowledge-06:42: Empowering Engineers and Workforce Development-10:40: AI in Manufacturing: Bridging the Skills Gap-18:34: Business Continuity and Legacy in Manufacturing-22:29: Machine Teaching: A New Approach to Training-29:01: Overcoming Talent Challenges in Manufacturing-36:28: Kence's Journey and Advice for Early Career ProfessionalsMore About Kence:As our CEO and Founder of Composabl, Kence is a pioneering autonomous AI leveraging his deep expertise in the industrial sector. With a background in mechanical engineering and a passion for teaching, Kence has authored the book, "Designing Autonomous AI," along with having developed courses for the University of Washington and the Association for Advancing Automation. Previously the Director of Autonomous AI Adoption at Microsoft and the lead customer engineer for Bonsai (acquired by Microsoft), Anderson has spearheaded the creation of over 200 autonomous AI systems for commercial applications. Anderson's unparalleled talent lies in integrating human expertise with AI principles, exemplified by the innovative multi-agent orchestration platform he has developed with the Machine Teaching Methodology as the foundation of the platform architecture. Motivated by the desire to empower the 100M industry machine engineers, Anderson and the Composabl team developed a groundbreaking no-code production-ready AI Agent Builder tool kit. This enables operators and engineers to build "Intelligent Agents" that the engineer can teach to solve nuanced and real-world problems that supersede the current capabilities of manufacturing floor automation. To learn more about Kence, connect with him here. The Future of Work (and this Episode) Is Brought To You By Secchi:Secchi is a revolutionary workforce engagement tool created for organizations to make data-driven frontline decisions in real-time. By measuring and combining multiple people-related lead indicators, Secchi provides in-the-moment visibility into individual frontline employee performance, team performance, engagement/turnover risks, and positive employee behaviors all while removing the traditional barriers of administrative burden on leaders. To learn more about Secchi, check them out here.

In this episode, we sit down with industry veteran Frank Gilson, whose 25+ years in game development span multiple genres and platforms, including work on iconic titles like Diablo and World of Warcraft. Frank shares insights from his career, discusses the evolution of interactive media, and offers advice for developers navigating the ever-changing landscape of game development.Learn more about FrankLearn more about usJoin the next episode of the Indie Game Lunch Hour LIVE every Wednesday at 12pm EST on our Discord channel to answer your own burning questions and be immortalized in the recordings.

This week our host Brandi Starr is joined by Lillian Pierson, a trailblazer in AI-driven growth and strategic marketing.  Meet Lillian Pierson, a global authority on leveraging AI for business success. With over a decade of experience, she has not only empowered 10% of the Fortune 100 companies but also served as a fractional CMO for high-growth tech brands. As the author of "The Data & AI Imperative," Lillian's expertise has been a guiding light for numerous startups aiming to scale with data-driven strategies.  In this episode of Revenue Rehab, Brandi and Lillian dive deep into the world of AI agents and their role in revolutionizing marketing efficiency. Lillian shares insights on harnessing data and AI to drive marketing-led growth, while also exploring the nuances of identifying AI use cases to maximize business impact. Join them in unraveling the future of AI in marketing and uncover practical steps for revenue leaders to embrace these transformative technologies.  Bullet Points of Key Topics + Chapter Markers:   Topic #1 The Proliferation of AI Experts [00:01:59] "A lot of people are branding themselves as AI experts... I've been working in the data analytics, data science, AI space for over a decade... after ChatGPT... everyone and their mother comes and like the whole Industry just changed overnight, and there's like a million AI experts," Lillian Pierson remarks. This reflects the saturation of self-proclaimed expertise in AI without the depth of experience or understanding required.   Topic #2 The Role of AI Agents in Marketing Efficiency [00:06:15] "Almost every revenue leader is looking for more efficient ways to grow their business... I can speak on how to use data and analytics and AI... for marketing-led growth in a more efficient way. So less basically less man hours, less faster, higher-quality outputs sort of thing," Lillian explains. She introduces the concept of AI agents as tools for enhancing marketing operations and reducing the workload on human resources.  Topic #3 Embracing Multi-Agent AI Systems [00:08:19] "Multi AI agent systems... where the rubber hits the road. I'm running them in my business... I started searching and within... I found this solution within 10 minutes," Lillian shares. She highlights the power and potential of multi-agent AI systems to transform business processes, using her personal implementation as a case study to showcase their impact on efficiency and innovation in marketing strategies.   What's One Thing You Can Do Today  Lillian's ‘One Thing' is to explore the possibilities of AI tools for various use cases within your business. “Go to future tools, and it basically will have all the AI tools you can imagine for all the different use cases, and start exploring and looking what's in there, and if they've got tools in there that can support your use case, and then just do some very quick and lean iterative testing to see if this might be something you could start adopting now.” This approach allows you to discover early-moving AI solutions that are not heavily hyped and ensure they align with your business objectives.  Buzzword Banishment  Lillian's Buzzword to Banish is the phrase 'AI expert.' She wants to banish this term because she feels it is overused and often misrepresents the level of expertise individuals have, especially following the release of ChatGPT version 4. Many people claim to be AI experts after minimal experience, which diminishes the credibility of those who have dedicated significant time and effort to understanding and applying AI technologies.  Links:  LinkedIn: https://www.linkedin.com/in/lillianpierson/  X: https://x.com/strategy_gal  Podcast: https://www.youtube.com/@strategy_gal   Subscribe, listen, and rate/review Revenue Rehab Podcast on Apple Podcasts, Spotify, Google Podcasts , Amazon Music, or iHeart Radio and find more episodes on our website RevenueRehab.live    

Jeffrey Ladish is the director of Palisades research, and AI safety organization based in the San Francisco Bay. Our previous conversations about the dangers of AI left us insufficiently concerned. Ladish takes up the mantle of trying to convince us that there's something worth worrying about by detailing the various projects and experiments that Palisades has been undertaking with the goal of demonstrating that AI agents let loose on the world are capable of wreaking far more havoc than we expect. We leave the conversation more wary of the machines than ever - less because we think hyper-intelligent machines are just around the corner, and more because Ladish paints a visceral picture of the cage we're building ourself into. PATREON: get episodes early + join our weekly Patron Chat https://bit.ly/3lcAasB MERCH: Rock some DemystifySci gear : https://demystifysci.myspreadshop.com/ AMAZON: Do your shopping through this link: https://amzn.to/3YyoT98 (00:00) Go! (00:07:36) Risks from Nuclear Wars and Emerging Technologies (00:15:01) Experiments with AI Agents (00:25:11) Enhanced AI as Tools vs. Intelligent Agents (00:34:39) AI Learning Through Games (00:44:04) AI Goal Accomplishment (00:55:01) Intelligence and Reasoning (01:07:11) Technological Arms Race and AI (01:17:16) The Rise of AI in Corporate Roles (01:25:20) Inception and Incentivization Issues in AI (01:35:12) AI Threats and Comparisons to Bioterrorism (01:45:13) Constitutional Analogies and Regulatory Challenges (01:55:11) AI as a Threat to Human Control (02:07:02) Challenges in Managing Technological Advancements (02:16:49) Advancements and Risks in AI Development (02:25:01) Current AI Research and Public Awareness #FutureOfAI, #AlgorithmicControl, #Cybersecurity, #AI, #AISafety, #ArtificialIntelligence, #TechnologyEthics, #FutureTech, #AIRegulation, #AIThreats, #Innovation, #TechRisks, #Cybersecurity, #SyntheticBiology, #TechGovernance, #HumanControl, #AIAlignment, #AIAdvancement, #TechTalk, #Podcast, #TechEthics, #sciencepodcast, #longformpodcast Check our short-films channel, @DemystifySci: https://www.youtube.com/c/DemystifyingScience AND our material science investigations of atomics, @MaterialAtomics https://www.youtube.com/@MaterialAtomics Join our mailing list https://bit.ly/3v3kz2S PODCAST INFO: Anastasia completed her PhD studying bioelectricity at Columbia University. When not talking to brilliant people or making movies, she spends her time painting, reading, and guiding backcountry excursions. Shilo also did his PhD at Columbia studying the elastic properties of molecular water. When he's not in the film studio, he's exploring sound in music. They are both freelance professors at various universities. - Blog: http://DemystifySci.com/blog - RSS: https://anchor.fm/s/2be66934/podcast/rss - Donate: https://bit.ly/3wkPqaD - Swag: https://bit.ly/2PXdC2y SOCIAL: - Discord: https://discord.gg/MJzKT8CQub - Facebook: https://www.facebook.com/groups/DemystifySci - Instagram: https://www.instagram.com/DemystifySci/ - Twitter: https://twitter.com/DemystifySci MUSIC: -Shilo Delay: https://g.co/kgs/oty671

How do AI agents learn and adapt to become more efficient in the tech landscape? Host Keith Townsend is with IBM's Dinesh Nirmal, Senior Vice President, Products to discuss the continuous evolution of AI agents for Six Five Media In the Booth at IBM TechXchange Conference. Details of their conversation include

Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week, joined by Sunny Madra (Groq) they discuss Jensen Huang's recent appearance on the podcast, including scaling intelligence towards AGI, NVIDIA's strategic positioning, the role of CUDA in the developer ecosystem, the future of inference workloads, systems-level thinking,  Elon Musk's influence on AI development, the future of AI assistants, open vs closed AI models, safety and security in AI development, & more. Enjoy another episode of BG2. Chapters (00:00) Introduction and Initial Reactions to Jensen (04:32) NVIDIA's Position in Accelerated Compute (05:11) CUDA and NVIDIA's Competitive Moat (12:53) Challenges to NVIDIA's Competitive Advantage (18:22) Future Outlook on Inference (24:46) The Insatiable Demand for AI and Hardware (27:12) Elon Musk' and X.ai (31:47) Scaling AI Models and Clusters (34:17) Economic Models and Funding in AI (39:08) The Future of AI Pricing and Consumption Models (42:25) Memory, Actions, and Intelligent Agents (47:08) The Role of AI in Business Productivity (51:03) Open vs Closed Models in AI Development #jensenhuang #nvidia #bradgerstner #billgurley #clarktang #xai #memphiscluster #elonmusk #noambrown #openai #gptstrawberry

Discover the next evolution of artificial intelligence with the rise of A.I. agents in this episode. From building billion-dollar brands to pioneering the world of A.I. agents, meet Maddie Bell.  Headquartered in Cincinnati, Ohio, Maddie is the CEO and Founder of Scheduler AI, a patented, fully autonomous A.I. agent that instantly connects businesses with their best prospects and customers. Maddie has over a decade of experience leading organizations in designing, developing, and launching breakthrough innovations at scale. She has been responsible for billion-dollar businesses, launched award-winning advertising campaigns, earned P&G's “Lifetime Achievement Award” in digital innovation, and actively developed patented A.I. technology. While juggling her thriving career and building her family with three young daughters, Maddie saw an opportunity for A.I. to solve a universal pain point — the time-consuming and revenue-leaking task of scheduling meetings. She co-founded Scheduler AI with her husband to create an A.I.-powered assistant that engages clients when they're most interested, coordinates meetings in seconds, and ensures they stay on the calendar. Today, you'll hear how Maddie thinks about the different waves of A.I. we're experiencing, from the initial ChatGPT moment to the current phase of A.I. integration into existing software and the upcoming rise of A.I. agents. We also discuss the implications and opportunities of this technology, how to evaluate A.I. tools, how to automate processes and grow businesses, and the importance of responsible A.I. development. Why will buying technology tools will feel a lot more like hiring people in the future? Listen in to find out! EPISODE SHOW NOTES: https://creativitysquared.com/podcast/ep51-maddie-bell-the-rise-of-a-i-agents/ JOIN CREATIVITY SQUARED Sign up for our free weekly newsletter: https://creativitysquared.com/newsletter  Become a premium member: https://creativitysquared.com/supporters  SUBSCRIBE Subscribe on your favorite podcast platform: https://creativitysquared.com Subscribe for more videos: https://youtube.com/@creativity_squared/?sub_confirmation=1 CONNECT with C^2 https://instagram.com/creativitysquaredpodcast https://facebook.com/CreativitySquaredPodcast https://giphy.com/channel/CreativitySquared https://tumblr.com/blog/creativitysquared https://tiktok.com/@creativitysquaredpodcast #CreativitySquared CONNECT with Helen Todd, the human behind C^2 https://instagram.com/helenstravels https://twitter.com/helenstravels https://linkedin.com/in/helentodd https://pinterest.com/helentodd Creativity Squared explores how creatives are collaborating with artificial intelligence in your inbox, on YouTube, and on your preferred podcast platform.  Because it's important to support artists, 10% of all revenue Creativity Squared generates will go to ArtsWave, a nationally recognized non-profit that supports over 100 arts organizations. This show is produced and made possible by the team at PLAY Audio Agency: https://playaudioagency.com. Creativity Squared is brought to you by Sociality Squared, a social media agency who understands the magic of bringing people together around what they value and love: http://socialitysquared.com. 

In this episode, Madrona Managing Director Matt McIlwain hosts David Shim, founder and CEO of Read AI. These two have known each other for over two decades, having worked together at Farecast and then Placed, which David founded in 2011. They came together again in 2021, when David started Read AI, which delivers AI solutions that make meetings, emails, and messages more valuable to teams with AI-generated summaries, transcripts, and highlights. In this episode, David and Matt examine how leveraging emerging technologies, getting engagement from multiple members of your ecosystem in the early days, and learning your way into a business model have been three themes across David's startup journeys. They explore the challenges and success of implementing AI in various categories, the benefits of using AI model cocktails for more accurate and intelligent applications, and where they see the opportunity for founders well beyond productivity AI. It's a great discussion you won't want to miss. Transcript:  https://www.madrona.com/read-ai-david-shim-efficient-meetings-intelligent-agents Chapters:      00:00 Introduction 01:51 The Genesis of Read AI: From Concept to Reality 04:26 Leveraging Emerging Technologies: The Journey of Placed and Read AI 09:10 The Evolution of Business Models: Learning from the Market 12:13 Engagement and Distribution: Partnering with Platforms 14:07 Innovating Meeting Summaries: Read AI's Shift to Intelligent Recaps 16:06 The Power of Model Cocktails: Enhancing AI Applications 18:03 From Zero to Growth: The Momentum of Read AI 21:06 Read AI: The Future of AI Productivity & Intelligent Agents 26:12 Exploring Product-Led Growth and Market Expansion 29:56 – Horizontal v. Vertical 31:46 – Gen-native v. Gen-enhanced 35:45 Importance of Model Cocktails 35:55 Opportunities for Founders

Virtual Agents, Chatbots, Bots...whatever you call them, they need love too.  Calabrio is excited to welcome Wysdom into the portfolio to help customers of any size make their bots better.  How does it work? What kind of KPI can be delivered on your virtual agents? Join Tariq from Wysdom as we understand how conversational AI assists in making your virtual and human agents better at servicing your customers. 

Jon Cooke is the owner/founder of Dataception a Data, Analytics, and Data Product company, and the creator of the Data Product Pyramid, an adaptive Data Product operating model. MLOps podcast #208 with Jon Cooke, CTO of Dataception, Micro Graph Transformer - Specialist Small Language Models Using Graphs to Accelerate Data Product Eco-systems. // Abstract Specialist deconstructed Encoder/Decoder Transformers along with data product management and tech to vastly accelerate prototyping, building, and deploying business-facing data products at high speed and low cost. // Bio Jon is a 20-year veteran in Data, Analytics, and AI and is a Data product specialist. After many times seeing the massive time, friction, failures, and costs typically associated with data and analytics initiatives, Jon founded Dataception. Its mission is to use tech to eliminate the data grunt and work together with data product management and AI to build and iterate sophisticated, business-facing analytics in real-time in front of the business. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links AI in Production Conference: https://home.mlops.community/public/events/ai-in-production-2024-02-15 Website: www.dataception.com https://www.linkedin.com/events/generativeai-dataproductsandbus7114951387100184576/theater/ https://www.linkedin.com/events/12thevalueofadataproductmanagem7110920848416366594/comments/ https://www.linkedin.com/events/howtoactuallyusedataproductstod7113570339535638528/theater/Building Better Data Teams // Leanne Fitzpatrick // Coffee Sessions #113: https://www.youtube.com/watch?v=JxVS3-4wyKc --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Jon on LinkedIn: https://www.linkedin.com/in/jon-cooke-096bb0/ Timestamps: [00:00] AI in Production Conference teaser [02:12] Jon's preferred coffee [02:24] Takeaways [03:48] Please like, share, and subscribe to our MLOps channels! [04:02] Backpacking, traveling, and almost cast for Lord of the Rings [06:40] Jon's tech background [11:07] Dataception [15:05] Data Challenges: Delays & Causes [16:46] Data Virtualization for Agility [19:47] Large Company Change Challenges [21:28] Sales Tools Migration Challenges [24:44] Data and ML Integration [28:13] Data Roles Evolution [32:20] Tech for Prototyping Acceleration [35:22] LLM Enables Natural Language Data Analytics [36:36] Ensuring Reliable AI Information [38:20] Proxy Routing and Intelligent Agents [42:41] Human API for Data [46:49] Engineer Success with Growth [48:15] Tech CEO Balancing Act [53:59] Iterative Development for Product-Market Fit [56:16] Wrap up

On November 3, 2023, VERSES AI gave the public a 'FIRST LOOK'

Denise Holt reports from the 4th Annual International Workshop on Active Inference (IWAI), September 2023, where the highlight of the event was a 1.5 hour long exclusive presentation with the father of Active Inference & the Free Energy Principle, Dr. Karl J. Friston, Chief Scientist at VERSES AI. In this groundbreaking video, Dr. Friston unveils his latest research on Active Inference, shedding light on its potential as a systematic blueprint for Artificial General Intelligence (AGI). Watch as Friston and his VERSES team pioneer a new kind of AI that mimics biological intelligence, making any data 'smart'. Learn how intelligent agents leverage generative models and state spaces to perceive, adapt to, and reshape environments. Witness Friston's simulations of autonomous systems dynamically pooling knowledge through emergent communication protocols to achieve flexible, human-like coordination. Witness the structured learning breakthroughs that move beyond today's pattern recognition to decode raw data streams into organized representations, goals, and plans - the foundations for artificial general intelligence. Find out how VERSES' Spatial Web Protocol enables seamless belief sharing across specialized agents to form efficient, mutually predictable worlds. Gain perspective on inductive planning, information-theoretic formalisms, model comparison, epistemic foraging, dynamics of learning, and more groundbreaking Active Inference innovations. While Friston's presentation was meant only as a glimpse, these insights keep VERSES AI at the leading edge of creating Autonomous Intelligent Systems (AIS) that can understand, communicate, and adapt as humans do.  

On this week’s show we are joined by Equal Expert’s Lewis Crawford to talk about his experiments in building autonomous teams of AI agents. AI Generated transcript follows… Matt: [00:00:00] Hello and welcome to episode 281 of WB40, the weekly podcast with Matt Ballantine, Chris Weston and Lewis Crawford. Chris: Well hello everybody, welcome back. […]

Join our conversation in this episode of the Spatial Web AI Podcast, where host Denise Holt engages with Dr. Jacques Ludik, a renowned global AI expert, smart tech entrepreneur, founder of multiple AI companies, and best-selling author, as they dive into a myriad of topics encompassing AI's future, its ethical implications, and its transformative impact on society. Explore the intricacies of neural networks and Active Inference AI, discussing the broader societal implications of AI, including its role in empathy, privacy, and AI governance.  Dr. Ludik passionately discusses the need for visionary leadership and a collective approach towards realizing AI's full potential, emphasizing wisdom, decentralized systems, and sustainable living. They also examine digital twins, the Free Energy Principle, and the integration of AI in various domains, providing a glimpse into the future of intelligent systems and their role in improving the quality of life globally.   Dr. Jacques Ludik has an extensive background in AI, with contributions to machine learning, neural networks, and the application of AI across various industries. From his academic collaborations to his practical experiences in predictive maintenance and real-time process problem identification, Dr. Ludik shares rich insights from his journey in the AI landscape.   Whether you're a tech enthusiast, an AI professional, or simply curious about the future of smart technology, this conversation offers deep insight into complex AI concepts and a visionary outlook on how AI can shape a better future for all.   Chapters:   00:12 - Introduction to Dr. Jacques Ludik 01:23 - Dr. Ludik's AI Background and Journey 07:00 - Future of Smart Technologies 10:30 - Massive Transformative Purpose in AI 15:08 - Vision for a Thriving Civilization 20:50 - AI's Impact on Jobs and Empathy 23:47 - Merging Technology with Humans 26:09 - Active Inference and Bayesian Approach 30:51 - Digital Twins and Spatial Computing 34:57 - Intelligent Agents and HSML 41:16 - AI Governance and Trustworthiness 48:23 - Future of AI and Decentralized Data 53:00 - Active Inference in World Models 59:38 - Overcoming Sunk Cost Bias in AI 01:05:03 - Personalized AI and Future Possibilities 01:10:01 – Wrap Up   Special thank you to Dr. Jacques Ludik for being on our show!   Connect with him: Website: https://jacquesludik.com/   You can also learn more on my blog: https://deniseholt.us   Explore the future of AI with Active Inference and gain insights into this revolutionary approach! Subscribe to our channel on YouTube, Spotify, Apple, Amazon, and more, and subscribe to our newsletter on LinkedIn, for more ground breaking content.     #ActiveInferenceAI #FirstPrinciplesAI  #FreeEnergyPrinciple #FutureofAI #KarlFriston #HSML #AIGovernance #VERSES

Revolutionary AI Whitepaper Validated by New Neuroscience Breakthrough by Denise Holt The Future of AI is Shared, Distributed, and Multi-Scale This may seem too good to be true, but it's not. In fact, it's happening right now. It's called Active Inference AI, based on the Free Energy Principle (FEP). In December 2022, VERSES AI set forth a sweeping vision for artificial intelligence based on a distributed, collective real-time knowledge graph, comprised of Intelligent Agents operating on the physics of intelligence itself. In their whitepaper, titled “Designing Ecosystems of Intelligence from First Principles,” they propose a profound departure from standard notions of AI as a monolithic system. Authored by Chief Scientist Dr. Karl Friston and the VERSES AI research team, the paper puts forth the concept of “shared intelligence”. This represents intelligence as emerging from interactions between diverse, distributed nodes as Intelligent Agents, in which each contributes localized knowledge and unique perspectives. Read the full article here: https://deniseholt.us/revolutionary-ai-whitepaper-validated-by-new-neuroscience-breakthrough Check out all the videos in this series on our Knowledge Bank Playlist: https://youtube.com/playlist?list=PLv0h9xFwpMaLumek-HwbuP-jpAfmSWW55 Learn more on the SpatialWebAI blog - https://deniseholt.us #artificialintelligence #ActiveInference #aigovernance #explainableai #FEP

NEW EPISODE: Denise Holt welcomes Daniel Friedman, Co-Founder and President of the Active Inference Institute, an open science organization supporting research and projects related to active inference. Active inference is an approach to modeling systems that involves perception, cognition, and action in an integrated way. Dr. Karl Friston's Free Energy Principle provides the theoretical foundation for Active Inference. In the interview, Daniel explains that Active Inference aims to model systems ranging from simple to complex in a unified framework. Key features include interpretability of models and explicit representation of action. Researchers in fields like robotics are exploring active inference for its potential benefits. Daniel discusses upcoming educational offerings and events from the Institute, including the Applied Active Inference Symposium on "Enacting Ecosystems of Shared Intelligence." He emphasizes the importance of participatory, open ecosystems for advancing science and technology. The interviewer points to the VERSES AI whitepaper titled, “Designing Ecosystems of Intelligence from First Principles,” tying active inference to Spatial Web technologies like the Hyper Space Modeling Language. She sees potential for AI assistants as Intelligent Agents utilizing Active Inference and Spatial Web infrastructure to enable collective intelligence and seamless human-AI collaboration. View the VERSES whitepaper here: https://arxiv.org/abs/2212.01354 Chapters: 0:00 - Introduction 1:48 - Explaining Active Inference 4:50 - Free Energy Principle 7:00 - Perception and Action 9:23 - Benefits for AI 13:30 - Spatial Web 19:53 - Markov Blankets 25:53 - Future AI Assistants 32:33 - Upcoming Symposium 39:11 - Robotics Applications 41:06 – Conclusion Special thank you to Daniel, for being on our show! Learn more from the Active Inference Institute here: https://www.activeinference.org/ Register for the 2023 Applied Active Inference Symposium here: https://coda.io/@active-inference-institute/3rd-applied-active-inference-symposium Check out our other Episodes and watch all the videos in the Knowledge Bank Playlist to learn more about the Spatial Web and Active Inference AI. https://youtube.com/playlist?list=PLv0h9xFwpMaLumek-HwbuP-jpAfmSWW55 You can also learn more on my blog: https://deniseholt.us #activeinferenceai #FreeEnergyPrinciple #KarlFriston #spatialweb #AIEducation

VERSES AI Compared with Open AI According to ChatGPT4  #futureofai #artificialintelligence by Denise Holt VERSES AI has developed a unique methodology that combines Active Inference AI with the Spatial Web Protocol, trained on real-time data within a common network of Intelligent Agents based on real-world events as they occur and unfold over time.   OpenAI administers a multi-modal methodology of generative Machine Learning AI derived from LLMs trained on text/image pairs.   In a mere three question conversation with ChatGPT4, the OpenAI bot provided a solid basis for understanding the greatest issues facing Machine Learning LLMs, the advantages of Active Inference AI over LLMs, and the way in which the next evolution of the internet protocol, the Spatial Web, when combined with Active Inference AI, can function as a nervous system for a company, city, or even larger systems.   ______________________   Special thanks to Dan Mapes, President and Co-Founder, VERSES AI and Director of The Spatial Web Foundation. If you'd like to know more about The Spatial Web, I highly recommend a helpful introductory book written by Dan and his VERSES Co-Founder, Gabriel Rene, titled, “The Spatial Web,” with a dedication “to all future generations.”   Listen to more episodes in my Knowledge Bank Playlist to learn everything you need to know to stay ahead of this rapidly accelerating technology.   Check out more on my blog at https://deniseholt.us   #futureofai #artificialintelligence #spatialweb #activeinference #ChatGPT4

Please check out Numerai - our sponsor @ https://numerai.com/mlst Numerai is a groundbreaking platform which is taking the data science world by storm. Tim has been using Numerai to build state-of-the-art models which predict the stock market, all while being a part of an inspiring community of data scientists from around the globe. They host the Numerai Data Science Tournament, where data scientists like us use their financial dataset to predict future stock market performance. Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5 Twitter: https://twitter.com/MLStreetTalk Welcome to an exciting episode featuring an outstanding guest, Robert Miles! Renowned for his extraordinary contributions to understanding AI and its potential impacts on our lives, Robert is an artificial intelligence advocate, researcher, and YouTube sensation. He combines engaging discussions with entertaining content, captivating millions of viewers from around the world. With a strong computer science background, Robert has been actively involved in AI safety projects, focusing on raising awareness about potential risks and benefits of advanced AI systems. His YouTube channel is celebrated for making AI safety discussions accessible to a diverse audience through breaking down complex topics into easy-to-understand nuggets of knowledge, and you might also recognise him from his appearances on Computerphile. In this episode, join us as we dive deep into Robert's journey in the world of AI, exploring his insights on AI alignment, superintelligence, and the role of AI shaping our society and future. We'll discuss topics such as the limits of AI capabilities and physics, AI progress and timelines, human-machine hybrid intelligence, AI in conflict and cooperation with humans, and the convergence of AI communities. Robert Miles: @RobertMilesAI https://twitter.com/robertskmiles https://aisafety.info/ YT version: https://www.youtube.com/watch?v=kMLKbhY0ji0 Panel: Dr. Tim Scarfe Dr. Keith Duggar Joint CTOs - https://xrai.glass/ Refs: Are Emergent Abilities of Large Language Models a Mirage? (Rylan Schaeffer) https://arxiv.org/abs/2304.15004 TOC: Intro [00:00:00] Numerai Sponsor Messsage [00:02:17] AI Alignment [00:04:27] Limits of AI Capabilities and Physics [00:18:00] AI Progress and Timelines [00:23:52] AI Arms Race and Innovation [00:31:11] Human-Machine Hybrid Intelligence [00:38:30] Understanding and Defining Intelligence [00:42:48] AI in Conflict and Cooperation with Humans [00:50:13] Interpretability and Mind Reading in AI [01:03:46] Mechanistic Interpretability and Deconfusion Research [01:05:53] Understanding the core concepts of AI [01:07:40] Moon landing analogy and AI alignment [01:09:42] Cognitive horizon and limits of human intelligence [01:11:42] Funding and focus on AI alignment [01:16:18] Regulating AI technology and potential risks [01:19:17] Aligning AI with human values and its dynamic nature [01:27:04] Cooperation and Allyship [01:29:33] Orthogonality Thesis and Goal Preservation [01:33:15] Anthropomorphic Language and Intelligent Agents [01:35:31] Maintaining Variety and Open-ended Existence [01:36:27] Emergent Abilities of Large Language Models [01:39:22] Convergence vs Emergence [01:44:04] Criticism of X-risk and Alignment Communities [01:49:40] Fusion of AI communities and addressing biases [01:52:51] AI systems integration into society and understanding them [01:53:29] Changing opinions on AI topics and learning from past videos [01:54:23] Utility functions and von Neumann-Morgenstern theorems [01:54:47] AI Safety FAQ project [01:58:06] Building a conversation agent using AI safety dataset [02:00:36]

AI – The Maker vs. The Operator  |  LLMs vs. Active Inference AI   #futureofai #artificialintelligence by Denise Holt VERSES AI is a cognitive computing company that has overcome the limitations of machine learning AI, by building a new kind of artificial intelligence based on a real-time world model described as:   AI that grows in knowledge, perception and awareness through the evolving real-time data produced by all things, at all times, throughout our living, breathing, and ever-changing world.”   This is Active Inference AI, an entirely new type of networked AI that is designed for Real-Time Operations, including things like managing the daily operations of a hospital, an airport, global supply chains, an entire smart city, global drone and autonomous vehicle traffic, and other real-world activities. This introduces a new era of artificial intelligence which enables us to streamline, optimize and automate every mission-critical, real-life function that we interact with every day.   The days of training AI on big data with probabilistic results will give way to an interconnected “Internet of Everything” that deploys Active Inference AI throughout the network; inherently secure and accurate because it takes any point of real-time data and makes it smart through an empowered ecosystem of interconnected AI Apps called Intelligent Agents. This networked system operates in tandem with humans, growing its intelligence in sync with humans and the world.   ______________________   Special thanks to Dan Mapes, President and Co-Founder, VERSES AI and Director of The Spatial Web Foundation. If you'd like to know more about The Spatial Web, I highly recommend a helpful introductory book written by Dan and his VERSES Co-Founder, Gabriel Rene, titled, “The Spatial Web,” with a dedication “to all future generations.”   Listen to more episodes in my Knowledge Bank Playlist to learn everything you need to know to stay ahead of this rapidly accelerating technology.   Check out more at, SpatialWebAI and Spatial Web Foundation   #futureofai #artificialintelligence #spatialweb #intelligentagents #aitools

Special Guest: Gabriel Rene – CEO and Founder, VERSES AI #futureofai #artificialintelligence by Denise Holt In this episode, I had the pleasure of sitting down with Gabriel Rene, CEO and Co-Founder of VERSES AI, Executive Director of the Spatial Web Foundation, and Chairman of the IEEE Working Group for the Spatial Web Protocol. Join us as we discuss his background, what led him on this journey to co-found one of the most important companies in AI technology and the next evolution of the internet. Topics covered: ·       What is the Spatial Web vs. WWW? ·       The new internet protocols, HSTP & HSML ·       The Spatial Web and Augmented Reality through Active Inference AI, HSTP & HSML, and KOSM OS ™ ·       What are Spatial Domains? ·       What is Active Inference AI? ·       Intelligent Agents vs Machine Learning AI ·       The inherent security baked into the Spatial Web ·       Issues with ChatGPT4 ·        And More! Special thanks to Gabriel Rene, for being on our show!   If you'd like to know more about The Spatial Web, I highly recommend a helpful introductory book written by Gabriel and his VERSES Co-Founder, Dan Mapes, titled, “The Spatial Web,” with a dedication “to all future generations.”   Check out our other Episodes and watch all of our videos in the Knowledge Bank Playlist to learn everything you need to know to stay ahead of this rapidly accelerating technology.   Check out more at, SpatialWebAI   #futureofai #artificialintelligence #spatialweb #intelligentagents #aitools

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: The hot mess theory of AI misalignment: More intelligent agents behave less coherently, published by Jonathan Yan on March 10, 2023 on LessWrong. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: The hot mess theory of AI misalignment: More intelligent agents behave less coherently, published by Jonathan Yan on March 10, 2023 on LessWrong. Thanks for listening. To help us out with The Nonlinear Library or to learn more, please visit nonlinear.org.

Adding fitness and truth to AIMA's dimensions, and considering 'artificial flight'. Subscribe at: https://paid.retraice.com Details: amendments and corrections—Re102; deciding vs. discovering what AI is; agent intelligence with respect to truth and fitness; 'artificial flight'. Complete notes and video at: https://www.retraice.com/segments/re103 Air date: Sunday, 1st Jan. 2023, 10 : 00 PM Eastern/US. 0:00:00 amendments and corrections—Re102; 0:07:08 deciding vs. discovering what AI is; 0:09:59 agent intelligence with respect to truth and fitness; 0:15:10 'artificial flight'. Copyright: 2023 Retraice, Inc. https://retraice.com

Three applications of intelligent agents in our daily lives, from autonomous driving, to robot vacuums. In this episode we mentioned the following resources: https://www.section.io/engineering-education/intelligent-agents-in-ai/ https://www.educba.com/intelligent-agent-in-ai/ https://developer.ibm.com/articles/cc-reinforcement-learning-train-software-agent/ https://www.geeksforgeeks.org/agents-artificial-intelligence/ https://robinhood.com/us/en/ https://www.techradar.com/uk/news/best-robot-vacuums Listen to us on these channels: Pocket Casts: https://pca.st/ou3g8gao Stitcher: https://www.stitcher.com/show/664669 Listen Notes: https://www.listennotes.com/podcasts/business-of-artificial-intelligence-luca-FqNd0xHXMSl/#podcaster Podcast Addict: https://podcastaddict.com/podcast/3701044 Deezer: https://deezer.com/show/3142642 Castbox: https://castbox.fm/channel/id4661502?country=us Apple: https://podcasts.apple.com/us/podcast/artificial-intelligence-101/id1595568010 Spotify: https://open.spotify.com/show/5rRlgZl3h3SyTAY3hjWV2T Youtube: https://www.youtube.com/channel/UCKMeEUHZYISFIm-FLYEUvSQ Do you have any AI questions you would like us to address? Leave a comment here or connect with us on Twitter: https://twitter.com/lucamarchesotti

This episode defines intelligent agents, what they are, why they are important, and precisely how they are used for artificial intelligence. In this episode we mentioned the following resources: https://www.section.io/engineering-education/intelligent-agents-in-ai/ https://www.educba.com/intelligent-agent-in-ai/ https://developer.ibm.com/articles/cc-reinforcement-learning-train-software-agent/ https://www.geeksforgeeks.org/agents-artificial-intelligence/ Listen to us on these channels: Pocket Casts: https://pca.st/ou3g8gao Stitcher: https://www.stitcher.com/show/664669 Listen Notes: https://www.listennotes.com/podcasts/business-of-artificial-intelligence-luca-FqNd0xHXMSl/#podcaster Podcast Addict: https://podcastaddict.com/podcast/3701044 Deezer: https://deezer.com/show/3142642 Castbox: https://castbox.fm/channel/id4661502?country=us Apple: https://podcasts.apple.com/us/podcast/artificial-intelligence-101/id1595568010 Spotify: https://open.spotify.com/show/5rRlgZl3h3SyTAY3hjWV2T Youtube: https://www.youtube.com/channel/UCKMeEUHZYISFIm-FLYEUvSQ Do you have any AI questions you would like us to address? Leave a comment here or connect with us on Twitter: https://twitter.com/lucamarchesotti

Intelligent Agents of the Lagos Command of the Economic and Financial Crimes Commission, EFCC, have arrested 18 suspected internet fraudsters popularly known as Yahoo boys in Lagos.In a statement on its verified Facebook page on Saturday, the anti-graft agency named the suspects to include, Tijani Olumide Ahmed, Ukuhor Richie Ifemeluona, Balogun Olusola, Ologun Damilola, Olubiyo Timilehin, Adetokunbo Yusuf, Oyegoke Gafar Olaitan, Agarawu Farug Okikiola, Kazeem Oluwadamilare Adebayo and Salau Rahmon.Others include, Abdulrahman Adeshina Olasunkanmi, Adeyanju Kehinde Emmanuel, Rasheed Remilekun, Owolabi Temidayo Habeeb,Ojora Usman Olawale, Mubarak Balogun, Rafiu Olusegun and Ayobami Habeeb Oyeleye.

Learning by example is powerful.  That's why we teach intelligent agents the same way.  Learn more about how your accounting team can get 10X more work done in half the time with the productivity boost made possible through intelligent agents.Read more - https://nxtstep.io/training-intelligent-agents/How and where to connect with Sean: Website Daily List YouTube Connect with Sean on LinkedIn Email Sean at sean@nxtstep.io To learn how to boost the profitability of your firm without hiring by taking my 5 day email course at http://bottleneckbuster.com/

I had an amazing conversation with Dr. Anand S Rao, Partner and Head of AI at PwC. We discussed similarities between Eastern philosophy and AI, how organizations are realizing value, what use cases are popular, the challenges in value realization, Software 2.0, Ethical AI and much more.    Anand Rao Bio:  Dr. Anand S. Rao is a Partner in PwC's Advisory practice. He is the Global Artificial Intelligence Lead and innovation lead within PwC's Emerging Technology practice. With over 35 years of industry and consulting experience, Anand leads a team of practitioners who advise C-level executives and implement advanced analytics and AI-based solutions on a variety of strategic, operational, and ethical use cases. With his PhD and research career in Artificial Intelligence and his subsequent experience in management consulting he brings business domain knowledge, software engineer expertise, and statistical expertise to generate unique insights into the practice of ‘data science'. Prior to joining management consulting, Anand was the Chief Research Scientist at the Australian Artificial Intelligence Institute. He received his PhD from University of Sydney (with a University Postgraduate Research Award-UPRA) in 1988 and an MBA (with Award of Distinction) from Melbourne Business School in 1997. Anand has also co-edited four books on Intelligent Agents and has published over fifty papers in Computer Science and Artificial Intelligence in major journals, conferences, and workshops. He has received widespread recognition for his extraordinary contributions in the field of consulting and Artificial Intelligence Research. He has received the Most Influential Paper Award for the Decade in 2007 from the Autonomous Agents & Multi-Agent Systems organization for his contribution on the Belief-Desire-Intention Architecture; MBA Award of Distinction from Melbourne Business School, 1997 and University Postgraduate Research Award (UPRA) from University of Sydney, 1985; Distinguished Alumnus Award from Birla Institute of Technology and Science, Pilani, India; He was recognized as one of Top 50 Data & Analytics professionals in USA and Canada by Corinium; one of Top 50 professionals in InsureTech; and has won a number of awards for his academic and business papers. Anand is an Adjunct Professor in BITS Pilani's APPCAIR AI Center. He also serves on the Advisory Board of Oxford University's Institute for Ethics in AI, World Economic Forum's Global AI Council, OECD's Newtork of Experts on AI (ONE), OECD's AI Compute initiative, Advisory Board of Northwestern's MBA program, Responsible AI Institute, Nordic AI Institute, and International Congress for the Governance of AI. Linkedin: https://www.linkedin.com/in/anandsrao/ Twitter:@AnandSRao Medium: https://anandsrao.medium.com/ Semantic Scholar: https://www.semanticscholar.org/author/Anand-Srinivasa-Rao/145946928 

What started with a class project led to an entrepreneurial journey and innovation in the informational technology company, RiskSense.  Today's guest, Dr. Srinivas Mukkamala, openly shares the challenges and victories of his amazing race.  In 2021, Ivanti acquired his company and he now serves as Senior Vice President of Security Products.  Sri impressed Shelly while openly sharing his journey during a keynote presentation at the New Mexico Technology Council Experience IT Conference in 2021.  There is a lot to unpack in this episode so let's get started! Show Notes Watch episode here Dr. Srinivas Mukkamala is Senior Vice President of Security Products for Ivanti.  He was the founder and CEO for RiskSense until Ivanti acquired the company in August 2021.  He is a recognized authority in the artificial intelligence (AI) and neural networks communities and was part of a think tank that collaborated with the U.S. Department of Defense on applying these concepts to cybersecurity problems.  Dr. Mukkamala is responsible for Product Management for all Ivanti Security products and will continue to drive innovation in integrated security solutions across all company pillars: ITSM, Security, and UEM. Dr. Mukkamala was also a lead researcher for CACTUS (Computational Analysis of Cyber Terrorism against the U.S.) and holds a patent on Intelligent Agents for Distributed Intrusion Detection System and Method of Practicing. Dr. Mukkamala holds a PhD of Philosophy and a Master of Science degree from New Mexico Institute of Mining and Technology. New Mexico Tech Indian Space Research Organisation RiskSense Ivanti   Battling Bots League (Be Greater Than Average and Electric Playhouse partnership) Robot Rumble (in partnership with Cottonwood Mall) Be Greater Than Average Gift of Learning Be Greater Than Average Courses Be Greater Than Average Family Fun! Be Greater Than Average A Semester of STEM Activities E-Book   Contact: Dr. Srinivas Mukkamala Linkedin

On today’s ID the Future Stephen C. Meyer fields questions about Return of the God Hypothesis*, his new bestselling book from HarperOne. The occasion was a live Zoom event for people who had pre-ordered the book. Daniel Reeves emceed, and in his introductory conversation with Meyer the two discuss a colorful tidbit about Meyer’s time at Cambridge University when he was working on his PhD. Turns out we may have Meyer’s wife to thank for him still possessing the ability to write such a probing book. In the Q&A Meyer summarizes the thesis of the book and then takes questions—everything from how evolutionists explain, or fail to explain, the pattern of stacked information in living things to what’s the object Read More › Source

“Instead of regarding ourselves as intelligent agents, spearheads of God's ever advancing Creation, we agnostics and atheists chose to believe that our human intelligence was the last word, the alpha and the omega, the beginning and end of all. Rather vain of us, wasn't it.?” - ~Alcoholics Anonymous, 4th Edition, We Agnostics, pg. 49~

Social safety nets have proven to be especially vital during the ongoing coronavirus pandemic. But in some cases, the underlying legacy IT infrastructure supporting the modern delivery of those services has failed them. Artificial intelligence and machine learning, however, have played an increasingly important role in helping agencies adapt to the challenges of the pandemic — particularly with volume and scale. “Volume is a significant problem for all of the social safety net programs. They are seeing record numbers of applications and because the systems that support those programs are typically older legacy systems — some of them as old as 40 years old — they can't scale to meet that demand,” Winkler says. On top of that, the CARES Act — which provided relief in response to the coronavirus — created some new programs that the inflexible legacy systems could not readily incorporate. “The real issue is how does technology — and how will agencies — continue to serve this high volume of clients as we begin to reopen and recover?” she says in the podcast. Sponsored by Google Cloud. Guest: Denise Winkler, Strategic Business Executive, Global Public Sector Group, Google Cloud Host: Wyatt Kash, SVP, Content Strategy, Scoop News Group Look for more coverage from the "Future-Ready Government” series on www.fedscoop.com/listen and www.statescoop.com/listen

X.AI - Founded in 2014, x.ai is a productivity tool powered by artificial intelligence that lets you schedule meetings effortlessly.    

In collaboration with SINGULARITY UNIVERSITY LAGOS . This episode  kicks off interactive discussions within the local community in Lagos. With the massive disruption caused in institutions and societal structures by exponential technologies globally, how do we manage the transition and apply these technologies locally? How are we taking advantage of the trends in Solar Power & Energy Storage, Fintech & Digital Currency, Virtual Reality & Augmented Reality, Intelligent Agents, Cognitive Computing & Artificial Intelligence, Space Exploration and more. How can big organizations with several years of linear growth and approach transition to thinking and implementing and growing exponentially?Join us as we address these issues in 2 panel sessions with panelist from the local community who are leading the exponential trends in Lagos.Victor Olorunfemi Tax Technology & Innovation Lead, PWC - Price waterhouse CoopersJudith Okonkwo   Founder, Imisi 3DOlu Ogunlela Co-Founder & Chief Curator, Gridless AfricaOluseye Soyode- Johnson Innovation , EricssonIdris Ayodeji Bello Steering Committee Member, Nigeria Health Innovation Marketplace (NHIM)

CECIA (Collaborative Electroacoustic Composition with Intelligent Agents) | Project Presentation [03.08.2019] CECIA (Collaborative Electroacoustic Composition with Intelligent Agents) is an innovative art project that integrates the creative agency of 5 composers and Machine Learning algorithms in order to produce a coherent composition of electroacoustic music. The project aims to explore collaborative music creation, harnessing the creativity of electroacoustic composers and Intelligent Agents through a cloud computing platform. The collaborative process of composition will be conducted online in an iterative fashion, in which the composers will submit and evaluate sound material/ideas/suggestions. These data will train the machine learning algorithms, which will generate new sonic structures according to the group preferences. The framework implements a decentralized model for electroacoustic music composition, featuring hybrid agency (human-algorithmic) and distributed authorship. /// CECIA (Collaborative Electroacoustic Composition with Intelligent Agents) ist ein innovatives Kunstprojekt, das die Kreativität von 5 KomponistInnen mit Machine-Learning-Algorithmen kombiniert. Erzeugt wird eine stimmige Komposition elektroakustischer Musik. Das Projekt zielt darauf ab, kollaborative Musikproduktion zu erforschen und die Kreativität von elektroakustischen KomponistInnen und intelligenten AgentInnen über eine Cloud-Computing-Plattform zu nutzen. Der gemeinsame Kompositionsprozess wird iterativ online durchgeführt, wofür die KomponistInnen Klangmaterial, Ideen und Vorschläge einreichen und bewerten. Diese Daten werden die Machine-Learning-Algorithmen trainieren, neue Klangstrukturen entsprechend den Gruppenpräferenzen zu erzeugen. Das Framework liefert ein dezentrales Modell für die elektroakustische Musikkomposition mit hybriden Akteuren (human-algorithmisch) und aufgeteilter Autorenschaft.

CECIA (Collaborative Electroacoustic Composition with Intelligent Agents) | Project Presentation [03.08.2019] CECIA (Collaborative Electroacoustic Composition with Intelligent Agents) is an innovative art project that integrates the creative agency of 5 composers and Machine Learning algorithms in order to produce a coherent composition of electroacoustic music. The project aims to explore collaborative music creation, harnessing the creativity of electroacoustic composers and Intelligent Agents through a cloud computing platform. The collaborative process of composition will be conducted online in an iterative fashion, in which the composers will submit and evaluate sound material/ideas/suggestions. These data will train the machine learning algorithms, which will generate new sonic structures according to the group preferences. The framework implements a decentralized model for electroacoustic music composition, featuring hybrid agency (human-algorithmic) and distributed authorship. /// CECIA (Collaborative Electroacoustic Composition with Intelligent Agents) ist ein innovatives Kunstprojekt, das die Kreativität von 5 KomponistInnen mit Machine-Learning-Algorithmen kombiniert. Erzeugt wird eine stimmige Komposition elektroakustischer Musik. Das Projekt zielt darauf ab, kollaborative Musikproduktion zu erforschen und die Kreativität von elektroakustischen KomponistInnen und intelligenten AgentInnen über eine Cloud-Computing-Plattform zu nutzen. Der gemeinsame Kompositionsprozess wird iterativ online durchgeführt, wofür die KomponistInnen Klangmaterial, Ideen und Vorschläge einreichen und bewerten. Diese Daten werden die Machine-Learning-Algorithmen trainieren, neue Klangstrukturen entsprechend den Gruppenpräferenzen zu erzeugen. Das Framework liefert ein dezentrales Modell für die elektroakustische Musikkomposition mit hybriden Akteuren (human-algorithmisch) und aufgeteilter Autorenschaft.

In this week’s #DataTalk, we chat with Anand Rao about leading data science projects. This data science video series is part of Experian’s effort to help people understand how data-powered decisions can help organizations develop innovative solutions Anand Rao is a Global & US Artificial Intelligence and US Data & Analytics Leader at PwC US Anand Rao is a Principal with PwC’s US Advisory practice, with over 24 years of industry and consulting experience, helping senior executives structure, solve and manage critical issues facing their organizations. He has worked extensively on business, technology, and analytics issues across a wide range of industry sectors including Financial Services, Healthcare, Telecommunications, Aerospace & Defense, across US, Europe, Asia, and Australia. His work has included behavioral economics, simulation modeling, global growth strategies, marketing, sales, and distribution strategies, online, mobile, social media strategies, customer experience, multi-channel integration, risk management and compliance, large scale program mobilization and management. Before his consulting careers, Anand was the Chief Research Scientist at the Australian Artificial Intelligence Institute, boutique research, and software house. Anand has also co-edited four books on Intelligent Agents and has published over fifty papers in Computer Science and Artificial Intelligence in major journals, conferences, and workshops. Anand was awarded the Most Influential Paper Award for the Decade in 2007 from the Autonomous Agents and Multi-Agent Systems (AAMAS) organization. He is a frequent speaker at a number of industry and academic forums. Anand holds an MSc(Tech) in Computer Science from Birla Institute of Technology and Science in India and Ph.D. in computer science from the University of Sydney, where he was awarded the University Postgraduate Research Award. He was also awarded an MBA from Melbourne Business School with Distinction.

Robert Frederick, founder and CEO of Sirqul, has been focused on connected communities of devices, people, and businesses since 1993. He was inspired by the boundless future potential of smart connected devices and leveraged this passion to attend MIT, to work on projects in the MIT Media Lab, and to join one of the first startups focused on standards that would later be called BlueTooth in the late nineties. The startup’s licensed product, DeviceTalk.com, was a central server running Intelligent Agents that used event-based logic to complete actions on behalf of its users via simple commands and conditional triggers. Identity and Presence were important then and still tends to be important now. Amazon acquired the company in 1999, and Robert led the internal team, Amazon Anywhere, that focused on making it possible to interact with Amazon Anywhere, Anytime, on Any device. After becoming the technical co-founder of Amazon Web Services and setting the stage for Amazon to become profitable leveraging the Cloud, Rob started Sirqul to create an Intelligence of Things (IoT) ecosystem on top of the cloud that also works at the edge. Sirqul has numerous partners that span Retail, Smart Buildings, Autonomous Vehicles, and Robotics.

Dave Abel is a PhD candidate in Computer Science at Brown. His research focuses on the foundations of Artificial Intelligence and its applications to scientific and societal challenges. We’ll be talking about his research and its implications, and ask him why you’d call him if somebody said, “Somebody Call a Doctor!” Additional Articles and Links … Continue reading #4 Building Intelligent Agents with Dave Abel →

Alternate headline: "How You Can Own a Little Robot Butler, Like Rocky in 1984" We delve into Mikael's strong interest for robotics and automation. Mikael makes a strong case for why robotics will be "the new auto industry", with lots of other industries converging into one massive industry. And how YOU can position yourself to get in early, working for or with robotics makers (for example by visiting your local robotics company...) Also discussed in this episode: "RaAS" - Robotics as a Service, "Intelligent Agents" - autonomous decision makers, We will continue this discussion in next week's episode, talking about the 5 biggest problems to come (human demand) and the most likely (profitable) future industries. Join our newsletter for episode summaries and said bonuses. =============   If you enjoyed this conversation:   *Subscribe to Future Skills on: iTunes | Android | Stitcher | Spotify | Soundcloud   *Rate us on iTunes. It will help more people find us and prepare properly.

In this episode, we talk to the CEO and Founder of x.ai, Dennis Mortensen, about creating his AI driven personal assistant that takes on the task of booking meetings for you. We unpick what an intelligent agent is, why conversational UI is an important and distinct UI in its own right and how you go about building an AI that can seamlessly embed itself into a conversation with humans and other AI’s.

It’s been nearly three years since I had the pleasure of speaking with Dennis Mortensen, founder and CEO of X.ai — the service behind Amy and Andrew - autonomous AI assistants who schedule meetings. Since three years in tech is like 20 years in real life, and with smart/digital assistants being at the top of many hot technology lists, I wanted to get Dennis’ perspective on how things have changed since we last spoke and how he sees the intelligent agent landscape shaping up.

In this episode, I'm joined by Jason Holmberg, Executive Director and Director of Engineering at WildMe. Wildme’s Wildbook and Whaleshark.org are both open source computer vision based conservation projects, that have been compared to a facebook for wildlife. Jason kicks us off with the interesting story of how Wildbook came to be, and the eventual expansion of the project from a focus on whale sharks to include Giant Manta Rays, Humpback Whales, Zebras and Giraffes. Jason and I explore the evolution of these projects’ use of computer vision and deep learning, the unique characteristics of the models they’re building, and how they’re ultimately enabling a new kind of citizen science. Finally, we take a look at a cool new “intelligent agent” project that Jason is working on, which mines YouTube for wildlife sightings and automatically engages with the relevant individuals and scientists on Wildbook’s behalf. For the complete show notes, visit twimlai.com/talk/166

Growing dominance of the "machines": How AI changes the financial industry. Let's dive into the world of Intelligent Agents. Artificial Intelligence supported conversation interfaces already allow a multitude of banking tasks to be carried out, ranging from answering simple customer questions to client onboarding scenarios. But are these Intelligent Agents able to meet today’s high expectations?  www.bearingpoint.com/talks

The future is now. I’m talking about the fact that software we use every day is based on artificial intelligence algorithms and the trend is growing. How will you be using AI in the future? Will you benefit from automation? Will you design AI software for learning? Will you be training AI agents?

The beauty of a platform like eBay is that you can set a price that you're willing to spend and let eBay do the bidding long after you've left the site. What if, in similar fashion, your washing machine could turn on and serve up clean clothes once it had found the cheapest rate and time of day by autonomously communicating with local electricity providers? In this episode, we discuss multi-agent intelligent systems with Computer Scientists Dr. Mehdi Dastani, who provides a perspective on how this emerging dynamic technology is changing the landscape of how and how companies and governments operate, allowing for greater systemic change that might not be possible otherwise.

Daniel Lewis, a freelance technology evangelist and post-graduate student at the University of Bristol talks about his feature article on this week's developerWorks homepage, Intelligent Agents and the Semantic Web.