Podcasts about Computer vision

In this episode of the Additive Snack Podcast, host Fabian Alefeld interviews Alex Oster, Director of Additive Manufacturing at Autodesk. The conversation spans Alex's journey from his early career in 1998 in Bavaria to his current influential role at Autodesk. They delve into the evolution of the additive manufacturing industry, from its early days to the current market dynamics and innovations, including the impact of AI and simulation technologies.  Alex shares stories from his time at FIT and Netfabb, including the challenges and innovations they faced. He explains Autodesk's strategy of integrating specialized tools into one cohesive platform, Fusion 360, which offers comprehensive solutions for both industrial and mass-market applications. They also discuss the crucial role of workforce development and the importance of making advanced manufacturing tools accessible to students and professionals. The episode concludes with thoughts on the future of additive manufacturing and the impact of AI on the industry. 01:09 Alex's Journey into Additive Manufacturing 02:32 Early Industry Challenges and Innovations 07:29 Growth and Development of NetFabb 12:16 Impact of FDM Revolution 21:32 Autodesk Acquisition and Integration 30:13 Fusion 360: A Comprehensive Tool 37:31 Workforce Development and Industry Adoption 47:15 The Rise of Low-Cost Machines 48:29 The Evolution of Metal Additive Manufacturing 49:43 Western Machine Vendors and Market Dynamics 50:03 High-End Custom Machines and Industry Trends 53:49 AI's Role in Additive Manufacturing 54:44 Autodesk's Product Strategy and Market Position 56:52 Simulation and Surrogate Modeling 01:10:01 Challenges in Polymer Simulation 01:11:30 AI and Computer Vision in Manufacturing 01:14:30 The Future of Manufacturing Integration 

Artificial Intelligence (AI) – how the Algorithm Connects Us All Revisited AZ TRT 2.0 – S06 EP08 (270) 5-11-2025   What We Learned This Week: AI is inter-connected with so many technologies & you use AI often on a daily basis AI is a part of almost all industries from Healthcare, Finance to Defense Human in the Loop - humans will always be needed to Interpret the Data, but AI will assist Software Teams must be managed so the product is integrated properly in the bigger picture   Moore's Law – Each year computing power grows 2x as fast, but cuts the cost in half   Guests: Naru (Narendran Muraleedharan), CEO / Founder of StaxAI – formerly Inventives & Aptus AI https://stax.ai/   linkedin.com/in/naru95       Bio: At Stax.ai, we empower retirement plan TPAs to streamline operations, enhance productivity, and deliver exceptional client experiences. Our innovative platform automates census data collection, payroll integrations, trust accounting, and client communication, all while providing actionable insights through AI-driven tools. Trusted by TPAs managing thousands of plans, Stax.ai transforms administrative burdens into seamless workflows, enabling you to focus on what matters most—growing your business and strengthening client relationships.   Past Bio: Inventives / Aptus AI is a software solutions and artificial intelligence development and consulting firm. They provide aerospace, mechanical, and software engineering services to companies around the world. The Team is strong, and well-rounded consisting of engineers, developers, and physicists that focus on solving problems at the root. They help take ideas or concepts and build prototypes and deployments in very short periods of time with tight budgets while maintaining the best quality and client satisfaction. The main fields of expertise are RPA, Web App Development, Solutions Architecture, Artificial Intelligence, Computer Vision, and Simulation Systems.   Note**: This interview was recorded in Oct. 2021 (S02 EP 43 (90) 10-24-21), since then Naru has changed the company name. Also, the BRT podcast has changed to AZ Tech Roundtable.   Notes: Seg. 2 - 4 Naru returns to the show talking tech, software, and AI. His team is always developing new applications with AI in healthcare, finance, biotech, & aerospace. Naru shows how so many technologies are connected and what the future of business looks like. Inventives is the new company, with the same core technology team, but focusing the business into a venture studio by creating new AI projects for companies not yet using AI. Inventives new projects can become spinoff companies with this new technology.  They work with B2B clients and also Investors for these types of companies.   Radiology is a current project to enhance the patient experience using AI – called SKIP. This project is on the Operations side to make the patient process of paperwork, payments, etc. to be automated (& efficient) with AI working with the patient. This will be stand alone, but if adopted by other medical offices over the long term can streamline the healthcare industry. Naru and his team are working on document management, where their AI program will be able to read documents and determine what the info is. Rising Cloud is another project they are building that manages a company cloud usage to improve costs.   Moore's Law – Each year computing power grows 2x as fast, but cuts the cost in half Cloud Computing happens in the cloud and internet for your programming vs Edge Computing that happens right on your phone and does not need to go out to the cloud. Bigger the data request or process determines if Cloud or Edge is the best choice. People interact with AI (Artificial Intelligence) daily on their phone, email, internet search and beyond. User Agreements in your phone or websites you use say they can take your search data and use it to enhance your experience.   AI Search uses past searches by you, vs what are the popular other searches by other people on the internet. It happens so fast and has the best / popular search options loading before you are even done typing. This is called a Recommendation Engine, just like Netflix or Amazon find shows or products you may like. These recs are similar to what you have watched or bought previously, or in similar genres. The downside is you may not see different options, just more of the same. AI determines what you see daily on the internet, and can create a silo effect. Inventives uses a common solution, called Human in the Loop to review what the AI is doing. Then the searches or recommendations are reviewed to see how accurate they are.  Healthcare AI is assisting doctors, and even finding issues that humans have missed in a radiology study. AI has no bias, and does not get tired. The computer can repeat processes and be consistent.   Key technologies of the day are constantly overlapping – AI, Big Data, Cloud, SaaS Software, etc. This tech can work with each other, and new software can build on top of these applications. Open AI created a product with AI that builds AI software. Naru's Software Teams have different backgrounds of math, engineering or physics who are self taught on software and think more about the solution vs thinking in terms of coding. There are small groups of 2 to 4 people in a team with a Solutions Architect running the small team and determining how the software interacts in the bigger picture. Often some of the best software involved very small teams. Lot of testing and compliance control goes into to creating big software projects that can involve multiple teams. Same issue if building an upgrade to a software that merges with the previous version.   Rewind Clip (Seg. 1) – Replay of a segment from Naru's last appearance on BRT in 11/2020 He talks AI and the morality of the technology. How can a programmer control their product, and what it will be used for in the real world. Naru chose the name Aptus because it is Latin for Apt or Appropriate – design products that works for the clients Chaos Theory / Jurassic Park – Just because you can do it, doesn't mean you should Aptus gets defense contracts as sub-contractor of companies partnered with military. Aptus studies the end applications for what they are requested to build, to determine if they will take the project. Morality is considered, but not always applicable to see where a product may go until it is built. AI software is programmed to build more software, AI building more AI. Per Naru there are companies trying to develop AI weapons that can kill on their own, and robots being controlled by AI already. Aptus has Liability Insurance to protect their projects.       ‘Best Of' Topic: https://brt-show.libsyn.com/category/Best+of+BRT    Thanks for Listening. Please Subscribe to the AZ TRT Podcast.     AZ Tech Roundtable 2.0 with Matt Battaglia The show where Entrepreneurs, Top Executives, Founders, and Investors come to share insights about the future of business.  AZ TRT 2.0 looks at the new trends in business, & how classic industries are evolving.  Common Topics Discussed: Startups, Founders, Funds & Venture Capital, Business, Entrepreneurship, Biotech, Blockchain / Crypto, Executive Comp, Investing, Stocks, Real Estate + Alternative Investments, and more…    AZ TRT Podcast Home Page: http://aztrtshow.com/ ‘Best Of' AZ TRT Podcast: Click Here Podcast on Google: Click Here Podcast on Spotify: Click Here                    More Info: https://www.economicknight.com/azpodcast/ KFNX Info: https://1100kfnx.com/weekend-featured-shows/   Disclaimer: The views and opinions expressed in this program are those of the Hosts, Guests and Speakers, and do not necessarily reflect the views or positions of any entities they represent (or affiliates, members, managers, employees or partners), or any Station, Podcast Platform, Website or Social Media that this show may air on. All information provided is for educational and entertainment purposes. Nothing said on this program should be considered advice or recommendations in: business, legal, real estate, crypto, tax accounting, investment, etc. Always seek the advice of a professional in all business ventures, including but not limited to: investments, tax, loans, legal, accounting, real estate, crypto, contracts, sales, marketing, other business arrangements, etc.  

In this episode, host Frank La Vigne is joined by Amir Berman, VP of Industry Transformation at Buildots, to explore how AI, computer vision, and cutting-edge analytics are revolutionizing the construction industry. Forget everything you thought you knew about dusty blueprints and endless delays—Amir shares how technology is helping build smarter, safer, and more efficient job sites. From real-time progress tracking with 360° cameras to predictive analytics that keep billion-dollar projects on schedule, this conversation uncovers how digital transformation is reshaping one of the world's oldest industries. Whether you're a tech fanatic, data enthusiast, or just curious about how skyscrapers go from chaos to code, this episode builds a compelling case for the power of AI in construction. Grab your virtual safety goggles—let's get hands-on with the future of building.Linkshttps://buildots.com/http://thedatadrivenbook.com/Timestamps00:00 Construction's Digital Transformation Insights09:15 Tech Vendors: Respect Contractors' Limits14:23 "Technology Enhances Construction Oversight"17:03 "Rewiring Minds: Tech Enhances Performance"27:25 Predictive Analytics Exposes Construction Delays28:19 Proactive Problem-Solving in Construction38:31 Tech-Enhanced Workforce Retention Strategy40:28 AI for Pipeline Problem Mitigation45:14 "From Flash to Data Analytics"52:24 The Innovator's Dilemma Explained54:56 Embracing AI After Windows Mobile Flop01:00:29 "Smart Construction with Computer Vision"

Today, we're joined by Jason Corso, co-founder of Voxel51 and professor at the University of Michigan, to explore automated labeling in computer vision. Jason introduces FiftyOne, an open-source platform for visualizing datasets, analyzing models, and improving data quality. We focus on Voxel51's recent research report, “Zero-shot auto-labeling rivals human performance,” which demonstrates how zero-shot auto-labeling with foundation models can yield to significant cost and time savings compared to traditional human annotation. Jason explains how auto-labels, despite being "noisier" at lower confidence thresholds, can lead to better downstream model performance. We also cover Voxel51's "verified auto-labeling" approach, which utilizes a "stoplight" QA workflow (green, yellow, red light) to minimize human review. Finally, we discuss the challenges of handling decision boundary uncertainty and out-of-domain classes, the differences between synthetic data generation in vision and language domains, and the potential of agentic labeling. The complete show notes for this episode can be found at https://twimlai.com/go/735.

In this episode we dive into landing your next job with powerful interview secrets. The ChallengeTransitioning from a senior scheduling role at a general contractor to an owner's position at a major tech company like Google can be daunting. Schedulers must not only demonstrate technical proficiency but also navigate the shift in perspective from contractor-focused to owner-centric scheduling. In this hypothetical challenge, Greg Lawton navigates an interview conducted by Micah Piippo, highlighting critical strategies schedulers must understand, such as managing stakeholders, adapting to different corporate cultures, and influencing decision-making processes effectively.Continue LearningCheck out our new book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

Chong Shen from Flower Labs joins us to discuss what it really takes to build production-ready federated learning systems that work across data silos. We talk about the Flower framework and it's architecture (supernodes, superlinks, etc.), and what makes it both "friendly" and ready for real enterprise environments. We also  explore how the generative Generative AI boom is reshaping Flower's roadmap.Featuring:Chong Shen Ng – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XEpisode links:The future of AI training is federatedDeepLearning.ai short course on Federated Learning with FlowerFlower MonthlyFederated Learning in AutomotiveFederated AI in FinanceFederated Learning in HealthcareFederated AI on IoT SystemsFlowerTune LLM LeaderboardFlower IntelligenceGitHubSlackFlower DiscussCheck out upcoming webinars!Sponsors:NordLayer is toggle-ready network security built for modern businesses—combining VPN, access control, and threat protection in one platform that deploys in under 10 minutes with no hardware required. It's built on Zero Trust architecture with granular access controls, so only the right people access the right resources, and it scales effortlessly as your team grows. Get up to 32% off yearly plans with code practically-10 at nordlayer.com/practicalai - 14-day money-back guarantee included.

(3:08) - A new way of seeing, a new way of computingThis episode was brought to you by Mouser, our favorite place to get electronics parts for any project, whether it be a hobby at home or a prototype for work. Click HERE to learn more about the role of optical sensors in the tech that makes our daily lives seamless and accessible! Become a founding reader of our newsletter: http://read.thenextbyte.com/ As always, you can find these and other interesting & impactful engineering articles on Wevolver.com.

In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling secure, collaborative model training across silos, especially in sensitive fields like healthcare. The conversation touches on real-world use cases, the challenges of distributed ML/AI experiments, and why privacy-preserving techniques may become essential for deploying AI to production.Featuring:Patrick Foley – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:IntelOpenFLSponsors:NordLayer is a toggle-ready network security platform built for modern businesses. It combines VPN, access control, and threat protection in one easy-to-use platform. No hardware. No complex setup. Just secure connection and full control—in less than 10 minutes. Up to 22% off NordLayer yearly plans plus 10% on top with the coupon code practically-10.

Getting AI Apps Past the Demo // MLOps Podcast #319 with Vaibhav Gupta, CEO of BoundaryML.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractIt's been two years, and we still seem to see AI disproportionately more in demos than production features. Why? And how can we apply engineering practices we've all learned in the past decades to our advantage here?// BioVaibhav is one of the creators of BAML and a YC alum. He spent 10 years in AI performance optimization at places like Google, Microsoft, and D.E. Shaw. He loves diving deep and chatting about anything related to Gen AI and Computer Vision!// Related LinksWebsite: https://www.boundaryml.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Vaibhav on LinkedIn: /vaigupTimestamps:[00:00] Vaibhav's preferred coffee[00:38] What is BAML[03:07] LangChain Overengineering Issues[06:46] Verifiable English Explained[11:45] Python AI Integration Challenges[15:16] Strings as First-Class Code[21:45] Platform Gap in Development[30:06] Workflow Efficiency Tools[33:10] Surprising BAML Insights[40:43] BAML Cool Projects[45:54] BAML Developer Conversations[48:39] Wrap up

In this episode we dive into productivity.The ChallengeImagine delivering a complex construction project without tracking productivity. You're left guessing progress, uncertain of efficiency, and facing unexpected delays. Without reliable data, you can't accurately forecast completion dates or manage risks effectively, putting project outcomes in jeopardy. Micah and Greg tackle this critical issue by discussing the true cost of ignoring productivity and practical strategies to address it.Continue LearningCheck out our new book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

Loïc Houssier, Head of Engineering at Superhuman, joins us to discuss how AI and LLMs are reshaping the email experience. He highlights challenges related to the variability of user prompts and infrastructure optimization. Loïc emphasizes that a deep focus on user experience and real human workflows is key to building AI tools people actually love to use.Featuring:Loïc Houssier – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:SuperhumanReferral Code for a Free monthSponsors:Outshift by Cisco – AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows. 

Claire chatted to Lerrel Pinto from New York University about using machine learning to train robots to adapt to new environments. Lerrel Pinto is an Assistant Professor of Computer Science at New York University (NYU). His research is aimed at getting robots to generalize and adapt in the messy world we live in. His lab focuses broadly on robot learning and decision making, with an emphasis on large-scale learning (both data and models); representation learning for sensory data; developing algorithms to model actions and behaviour; reinforcement learning for adapting to new scenarios; and building open-source, affordable robots. Join the Robot Talk community on Patreon: https://www.patreon.com/ClaireAsher

Mit Dr. Silviu Homoceanu (Deltia.ai) Staffel #12 Folge #9 | #Marketing_021 Der Podcast über Marketing, Vertrieb, Entrepreneurship und Startups *** www.deltia.ai/ www.linkedin.com/in/dr-silviu-homoceanu-893b7a5/ *** Dr. Silviu Homoceanu (Co-Founder & CTO von Deltia.ai) berichtet im neuesten Marketing From Zero To One Podcast von seinem bisherigen Lebensweg, angefangen vom Informatikstudium in Rumänien über seine Promotion in Deutschland an der TU Braunschweig bis hin zu seiner Arbeit im Bereich autonomes Fahren beim Volkswagen Konzern. Er berichtete, wie seine vorherigen Erfahrungen im Bereich der Produktion schließlich zur Gründung von Deltia führten, einem Berliner Start-up, das KI-gestützte Lösungen für Produktionsprozesse entwickelt. Im Gespräch geht es um die technologische Entwicklung, zu erwartende Herausforderungen beim Datenzugang und -schutz, die Gründungsgeschichte mit seinem Co-Founder Maximilian Fischer sowie ihre Herangehensweise an die Themen Teamaufbau, Kundenakquise und die aktuell stattfindende Skalierungsphase. Erneut mit dabei war Michael Högemann, Seriengründer und KI-Experte, der insbesondere nach Einsatzszenarien von künstliche Intelligenz bei Deltia.ai fragte. Das Gespräch fand am Berliner Merantix AI Campus statt. *** 02:00 – Begrüßung & Vorstellung 03:26 – Studium und Weg nach Deutschland 05:41 – Karriere bei Volkswagen 09:58 – Technologie vs. Realität 11:28 – Gründungsmotivation 15:00 – Idee hinter Deltia 17:45 – Merantix & Co-Founder Match Phase 21:15 – Problemvalidierung & erste Kundenkontakte 24:22 – Branchenerfahrung als Grundlage 25:28 – Teamzusammenstellung & Vertrauensaufbau 31:28 – Entscheidung für gemeinsame Gründung 33:00 – Funding-Prozess bei Merantix 34:22 – Erster Kunde: Viessmann 36:30 – Was Deltia macht 39:29 – Beispielszenarien & Verbesserungspotenziale 42:19 – Technologie & Skalierbarkeit 45:34 – Custom AI & On-Premise Modelle 47:18 – Aufbau & Training eigener Modelle 50:34 – Edge Computing vs. Cloud 52:20 – Datenschutz & Transparenz für Mitarbeitende 55:34 – Einsatz von KI im Arbeitsalltag 59:20 – Letzter KI-Tool-Use-Case 62:39 – Teamaufbau & Bewerbungsprozess 68:16 – Marketing & Vertrieb 70:51 – Webinare & Use-Case-Kommunikation 72:30 – Abschluss & Ausblick *** Die Zeitangaben können leicht abweichen.

Intenseye is revolutionizing industrial safety by connecting to existing camera systems in manufacturing facilities and using AI to detect unsafe conditions in real-time. Having raised $93 million to date, the company has developed a platform that runs over 120 AI models analyzing 50+ safety use cases at manufacturing sites globally. In this episode of Category Visionaries, we spoke with Sercan Esen, CEO and Co-Founder of Intenseye, about his journey from software engineer to category-creating founder, and how his company is addressing the staggering problem of workplace fatalities – 2.4 million people losing their lives annually in industrial accidents.   Topics Discussed: Intenseye's origin story and mission to save lives in manufacturing How the platform transforms existing cameras into "24/7 safety supervisors" The challenge of creating a new category in industrial safety Building an account-based marketing engine from scratch The evolution from a proof-of-concept to an enterprise-ready solution Scaling from single facility deployments to managing 100+ site implementations How real-time detection differs fundamentally from traditional EHS platforms   GTM Lessons For B2B Founders: Learn directly from your customers on category creation: "We came up with those category names. We named those use cases and main categories and we expanded them under like 50 new use cases too... So I would say the number one thing that we do really well is relying on our customers, our users on the front lines, and how they use our platform and operationalize and what they call it." Sercan emphasized the importance of letting your customers help shape how you define and communicate about your new category, rather than imposing terminology on them. Immerse yourself in your customer's world: Sercan personally visited over 50 manufacturing facilities in the first two years and even worked production lines to understand the environment. "I was making ice creams for a week, cars for another week. And I was working right next to frontline teams to learn more." This deep immersion helped Intenseye build a solution that truly addressed the realities of their customers' environments rather than creating a theoretical solution from a distance. Iterate your go-to-market motion with the help of early customers: The Intenseye team originally envisioned a self-serve, product-led growth model but quickly realized enterprise sales was the right approach. Sercan recalls: "I remember my first call with the procurement leader from a largest customer and he was challenging me and I said, 'Look, this is the first time I'm doing this. Can you tell me how you guys want to buy this? You tell me and I will just figure this out.' And he gave me amazing insights." This willingness to learn from customers shaped their land-and-expand strategy and pricing model. Deeply understand stakeholder concerns to drive adoption: When implementing computer vision in industrial settings, Sercan's team anticipated potential resistance and built solutions proactively: "We are always aggressively cautious about the implementation of computer vision technology because immediate reaction might be 'Hey, this is Big Brother...' But these are all wrong. We spend a lot of time with unions, frontline teams, building anonymization around blurring the entire body at the camera level, thumbnail level, and everything... to earn their trust, earn their hearts and minds." Create targeted marketing content that demonstrates your exact solution: Rather than generic marketing, Intenseye built a video engine that could analyze customer video footage using their AI, showing precisely how their system would work in a prospect's actual environment. "I posted on LinkedIn, promoted in the region where I know that account could see our video... I remember couple hours later it was a meeting booked from the VP of Healthcare Safety with a note: 'Hey, I'm really interested about this solution.'" This approach of showing exactly how you solve the specific problem has become the foundation of their marketing strategy.   //   Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe.  www.GlobalTalent.co

In this episode we dive into what a project manager needs to know about scheduling.The ChallengeHow do you improve your PM's scheduling ability?Continue LearningCheck out our new book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

In this episode, Jeff Utecht explores the transformative impact of AI in Career and Technical Education (CTE) classrooms, particularly in construction and welding. He discusses how generative AI tools can enhance learning and efficiency, providing real-world applications and examples. The conversation emphasizes the importance of preparing students for a future where AI plays a crucial role in skilled trades, highlighting the need for critical thinking and verification of AI-generated information. Chapters 00:00 AI in CTE Classrooms: A New Era 04:49 Generative AI in Construction and Welding 10:03 Building Information Management Software 14:45 Computer Vision in Welding Education 19:55 Preparing Students for the Future of Trades   Takeaways AI is revolutionizing CTE classrooms, making learning more interactive. Generative AI can optimize construction designs and processes. Students must learn to verify AI-generated information. There is a significant shortage of skilled labor in construction. AI tools can provide instant feedback in welding education. Building Information Management (BIM) software is essential for modern construction. Computer vision technology can enhance quality control in welding. Educators should pilot AI tools in their classrooms. Safety and critical thinking are paramount when using AI. Preparing students for the future of trades is essential.   

In this episode, Daniel and Chris unpack the Model Context Protocol (MCP), a rising standard for enabling agentic AI interactions with external systems, APIs, and data sources. They explore how MCP supports interoperability, community contributions, and a rapidly developing ecosystem of AI integrations. The conversation also highlights some real-world tooling such as FastAPI-MCP.Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:Protocol websiteAnthropic blog postBlog post - Model Context Protocol (MCP) an overviewFastAPI-MCPHow to Use FastAPI MCP Server: A Complete Guide Candle (Rust framework)

Dr. Hoffman continues his conversation with Henry Abbott, former ESPN journalist, basketball expert, and author of "Ballistic: The New Science of Injury-Free Athletic Performance."

Henry Abbott, former ESPN journalist, basketball expert, and author of the highly anticipated book "Ballistic: The New Science of Injury-Free Athletic Performance," details how advanced biomechanical analysis can help prevent athletic injuries. Abbott explains the significance of movement patterns, particularly how techniques used by elite athletes at the Peak Performance Project (P3) in Santa Barbara can be applied to everyday people. The conversation covers various topics, including plyometrics, the importance of hip stability and mobility, and the potential for new technologies like AI and computer vision to bring these advanced assessments and training techniques to a wider audience. The episode is rich in practical advice for maintaining physical health and mobility through a lifelong commitment to better movement practices.

VCommerce experts Matt Hodlofski & Nicolas Bailliache every Friday at 11am ET for a lively discussion on the latest developments shaping the #videocommerce and #liveshopping landscape. #vcommerceReceive weekly live shopping industry updates and tips in our newsletter: https://try.estreamly.com/newsletterSeason 3: EP13Google add videos to shopping CarouselAmazon Prime Video makes its show shoppableAttention & liveshopping: passive vs active shopper behaviors and what it means to sales and viewing mediumAbout eStreamly: eStreamly enables shoppable livestreams & videos across platforms, including your website, social media, SMS, emails... . https://hubs.ly/Q02qJNmM0About Matt: He has over 25 years of vcommerce experience within product marketing and sales. He currently is a partner at e6 marketing, a firm that help brands to go on QVC/ HSN#curated #videocommerce news of the week #ecommerce #retail

In this episode, we explore the intersection of AI, machine learning, and healthcare through the lens of neuroimaging and epilepsy diagnosis. Dr. Gavin Winston shares insights from his work using MRI data and machine learning to uncover subtle abnormalities in brain function. We discuss the cultural and ethical barriers to AI adoption in medicine, how predictive data analysis could transform the diagnostic workflow, and what the future holds for medical imaging in a world increasingly shaped by intelligent systems.Featuring:Gavin Winston – LinkedIn, WebsiteChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks: A MELD StudyMachine Learning in Neuroimaging across DisciplinesAutomated and Interpretable Detection of Hippocampal Sclerosis in Temporal Lobe Epilepsy: AID-HSLiterature review and protocol for a prospective multicentre cohort study on multimodal prediction of seizure recurrence after unprovoked first seizureDeep learning in neuroimaging of epilepsyNon-parametric combination of multimodal MRI for lesion detection in focal epilepsyDetection of covert lesions in focal epilepsy using computational analysis of multimodal magnetic resonance imaging data

In this episode we dive into forecasting end dates and the presenting your findings.The ChallengeYou're four months into a 12-month project. Everything's been running fine or so it seems. Then your update hits, and the schedule slips. Months late.Your leadership wants answers. You want clarity.This post gives you a step-by-step method to predict project outcomes using real performance data—so you can forecast the finish with confidence and back it up with evidence.Here are the templates.Continue LearningCheck out our new book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

How can computer vision and AI reshape the future of coaching, player development, and fan engagement in sports? In today's episode of Tech Talks Daily, I sit down with Lauren Pedersen, CEO and co-founder of Sport AI, to explore how AI brings advanced sports analysis to athletes and coaches everywhere, not just to elite professionals. Lauren shares the inspiring journey that led her from New Zealand to Norway and from NCAA Division 1 tennis player to tech entrepreneur. Sport AI is leading a movement to democratize access to professional-grade coaching tools, offering real-time tactical and technical analysis in racket sports like tennis, paddle, and pickleball.  Using computer vision to track body movement and ball contact points from video alone without the need for wearables, Sport AI delivers data-backed insights directly to coaches and players through integrations with camera-enabled courts and coaching platforms. We also dive into how Sport AI's technology serves sports organizations, academies, equipment brands, and broadcasters, providing valuable performance data and creating new revenue streams for local clubs. Lauren talks about the balance between AI and human coaching, how AI enhances but never replaces the coach's role, and why social engagement and player empowerment are at the heart of this sports technology evolution. Lauren's vision stretches beyond racket sports, hinting at future expansions into golf, basketball, and baseball, wherever repetitive motion training can benefit from biomechanical analysis. As the sports world embraces AI and camera technology at scale, what does this mean for the future of training, competition, and how athletes of all levels experience the game? Tune in to learn how Sport AI makes advanced sports insights accessible to all and what lies ahead for this exciting intersection of sports and technology.

The conversation explores the potential of Augmented Reality (AR) in various industries, emphasizing that AR is particularly beneficial for products that can be standardized and have variations, such as furniture and makeup, while it may not be suitable for products like onions that lack standardization.TakeawaysAR is an exciting space for certain industries.Standardization of products is key for AR applications.Products like furniture can be modeled easily in AR.AR may not be suitable for non-standardized products.Variation in products enhances the effectiveness of AR.Makeup and furniture are examples of AR-friendly products.AR can create virtual trials for products with variations.The effectiveness of AR depends on the product type.Understanding product characteristics is crucial for AR implementation.AR's potential is industry-specific, not universal.Chapters00:00Introduction to Perfect Corp and Its Technology26:39Understanding AI and Machine Learning in Beauty30:39The Role of Augmented Reality in Retail34:31Democratizing AR Technology for Small Businesses36:36The Future of AI and Generative Models40:35Exciting Developments at Perfect Corp

Vibe coding, agentic workflows, and AI-assisted pull requests? In this episode, Daniel and Chris chat with Robert Brennan and Graham Neubig of All Hands AI about how AI is transforming software development—from senior engineer productivity to open source agents that address GitHub issues. They dive into trust, tooling, collaboration, and what it means to build software in the era of AI agents. Whether you're coding from your laptop or your phone on a morning walk, the future is hands-free (and All Hands).Featuring:Robert Brennan – LinkedIn, XGraham Neubig – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:All HandsAll Hands on GitHubAll Hands on Hugging Face 

Agents of Innovation: AI-Powered Product Ideation with Synthetic Consumer Testing // MLOps Podcast #306 with Luca Fiaschi, Partner of PyMC Labs.Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // AbstractTraditional product development cycles require extensive consumer research and market testing, resulting in lengthy development timelines and significant resource investment. We've transformed this process by building a distributed multi-agent system that enables parallel quantitative evaluation of hundreds of product concepts. Our system combines three key components: an Agentic innovation lab generating high-quality product concepts, synthetic consumer panels using fine-tuned foundational models validated against historical data, and an evaluation framework that correlates with real-world testing outcomes. We can talk about how this architecture enables rapid concept discovery and digital experimentation, delivering insights into product success probability before development begins. Through case studies and technical deep-dives, you'll learn how we built an AI powered innovation lab that compresses months of product development and testing into minutes - without sacrificing the accuracy of insights. // BioWith over 15 years of leadership experience in AI, data science, and analytics, Luca has driven transformative growth in technology-first businesses. As Chief Data & AI Officer at Mistplay, he led the company's revenue growth through AI-powered personalization and data-driven pricing. Prior to that, he held executive roles at global industry leaders such as HelloFresh ($8B), Stitch Fix ($1.2B) and Rocket Internet ($1B). Luca's core competencies include machine learning, artificial intelligence, data mining, data engineering, and computer vision, which he has applied to various domains such as marketing, logistics, personalization, product, experimentation and pricing.He is currently a partner at PyMC Labs, a leading data science consultancy, providing insights and guidance on applications of Bayesian and Causal Inference techniques and Generative AI to fortune 500 companies. Luca holds a PhD in AI and Computer Vision from Heidelberg University and has more than 450 citations on his research work.// Related LinksWebsite: https://www.pymc-labs.com/~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Luca on LinkedIn: /lfiaschi

In this episode we dive into quantum mechanics.The ChallengeWhat if the biggest problem in construction scheduling isn't bad data or missed deadlines but the very math we use to create schedules?In this episode of Beyond Deadlines, I sat down with my cohost Greg Lawton , CEO of Nodes & Links, to unpack his wild theory that quantum mechanics (yes, the stuff behind particle physics) might hold the answer to fixing the broken logic in how we schedule mega projects. Together, we challenge the 70 year old foundation of the Critical Path Method and ask: is it time for something radically different?Continue LearningCheck out our new book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

In this episode, Daniel sits down with Pavel Veller, EPAM's Chief Technologist, to explore the practical challenges of orchestrating many AI agents and managing connections to disparate systems/tools. Pavel shares insights from his hands-on work with agentic architectures and internal tools like "DIAL". Pavel also helps us understand things like MCP servers and why connecting assistants via APIs is easy—but making them useful is hard. Featuring:Pavel Veller – LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:EPAMDIALSWE-bench results ★ Support this podcast ★

How do you enable AI acceleration (at both the hardware and software layers) that stays ahead of rapid industry shifts? In this episode, Dhananjay Singh from Groq dives into the evolving landscape of AI inference and acceleration. We explore how Groq optimizes the serving layer, adapts to industry shifts, and supports emerging model architectures. Featuring:Dhananjay Singh – LinkedIn, XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:GroqSponsors:Augment Code - Developer AI that uses deep understanding of your large codebase and how you build software to deliver personalized code suggestions and insights. Augment provides relevant, contextualized code right in your IDE or Slack. It transforms scattered knowledge into code or answers, eliminating time spent searching docs or interrupting teammates. ★ Support this podcast ★

In this episode we dive into scheduling cheat codes.The ChallengeSchedulers often struggle to make their voices heard. Too often, they are seen as mere status reporters rather than strategic decision-makers. But what if your schedule could drive project success, align incentives, and make scheduling an indispensable tool across the organization? In this episode of Beyond Deadlines, I sat down with Josh Wollan , Director of Project Controls Scheduling at Zachry Construction Corporation, to discuss cheat codes for optimizing schedules and making them a true driver of business outcomes.Continue LearningCheck out our new book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

Kyle Daigle, COO of GitHub, joins the hosts to discuss the evolving role of AI in software development, GitHub Copilot's impact, and the challenges of AI-assisted coding. The conversation covers licensing concerns, ethical considerations, and how developers can navigate these complexities. Kyle also shares his vision for ambient AI, which seamlessly integrates into workflows to enhance productivity and innovation, shaping the future of developer tools. Featuring:Kyle Daigle – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XSponsors:Domo – The AI and data products platform. Strengthen your entire data journey with Domo's AI and data products. ★ Support this podcast ★

In this episode of Tech Talks, CEO David Baszucki is joined by Kiran Bhat and Nishchaie Khanna to discuss the rapid evolution of AI and its impact on game development. They explore the journey from classical AI to today's generative AI, the challenges of 3D object generation, and how AI is shaping the future of interactive experiences. 

You're a VP overseeing multiple projects, and no matter how well things start, they always seem to fall apart near the finish line. Despite detailed planning and scheduling, everything looks good—until the final stretch. Suddenly, tasks stack up, trades collide, and deadlines slip. You've noticed this trend across your portfolio and need a way to get ahead of the problem. This episode of Beyond Deadlines features Michael Pink , CEO of SmartPM Technologies, Inc., as we break down schedule compression and how to use it as a proactive tool instead of a reactionary fire drill.Continue LearningCheck out our new book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

We often judge AI models by leaderboard scores, but what if efficiency matters more? Kate Soule from IBM joins us to discuss how Granite AI is rethinking AI at the edge—breaking tasks into smaller, efficient components and co-designing models with hardware. She also shares why AI should prioritize efficiency frontiers over incremental benchmark gains and how seamless model routing can optimize performance. Featuring:Kate Soule – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:IBM GraniteIBM Granite on Hugging FaceIBM Expands Granite Model Family with New Multi-Modal and Reasoning AI Built for the Enterprise  ★ Support this podcast ★

In this episode we dive into Earned Value ManagementThe ChallengeEarned Value Management (EVM) is one of the most powerful tools in project controls. But let's be honest—mention EVM in a meeting, and half the room runs for the hills. The challenge? Taking an organization unfamiliar with EVM and implementing it in a way that actually adds value instead of turning into a compliance-driven headache.In this episode of Beyond Deadlines, I sat down with Chris Mikec, Project Controls Manager, and Frank Casertano, Scheduling Manager, both from Lighthouse Electric. They shared their experience working with a general contractor (GC) to roll out EVM across an entire program. Their insights are a must-read for anyone looking to make EVM work in the real world.Continue LearningCheck out our new book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, the CEO of Movar US is an Intel and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

In this episode, Amir Bormand welcomes Scott Persinger, CEO of Supercog AI, to discuss the rise of agentic AI and its applications in modern businesses. They explore the evolving role of AI agents in knowledge management, team collaboration, and enterprise automation, particularly in environments like Slack. The conversation delves into how AI is reshaping work, privacy and ethical considerations, and the future of human-AI collaboration.Key Takeaways

How can every single person build a personal AI protégé and then accumulate (and share) a host of other assistants? In this episode, we dive into the world of no-code AI with Scott Meyer from Chipp.ai. We discuss AI tooling for people that can't code, the cultural shift that needs to happen for widespread AI adoption in businesses, and the predicted growth trajectory of AI assistant that you can own.Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XScott Meyer - LinkedIn, XSponsors:Domo – The AI and data products platform. Strengthen your entire data journey with Domo's AI and data products.Show Notes:Chipp.aiChipp.ai's Discord ★ Support this podcast ★

Note : This is a re-release of an episode that was originally uploaded to BitBuilders."I've made every single mistake that exists in running startups." - Massimo Banzi, co-founder of ArduinoOur host, Gabriele Tinelli - investor at Foundamental, Aerospace Engineer and hardware nerd - sits down with Massimo Banzi, the co-creator of Arduino. They discuss the evolution of open-source hardware, the challenges of building a global brand, and the future of edge computing in robotics. Banzi shares insights on making technology accessible to beginners while still serving professionals. He emphasizes the importance of hands-on learning in tech education and reflects on the changing landscape of open-source projects. ----Chapters00:00 Intro04:30 Introduction to Interaction Design and Massimo Banzi09:44 The Birth of Arduino: A Prototyping Revolution19:35 Arduino's Evolution: From Hobbyist to Professional Tool29:20 The Arduino Community and Open Source Philosophy36:27 Future Trends: Arduino and AI Integration39:50 Integrating Arduino into Systems41:24 The Power of Edge Computing42:40 Advancements in Computer Vision for :04 The Role of AI in Robotics47:32 Lessons from Startup Experiences52:53 The Evolution of Open Source54:43 Encouraging Young Innovators1:01:16 Current Projects and Future Aspirations1:05:41 Advice for Educators and Future Generations

In this episode we dive into schedule contingency.The ChallengeImagine you're tasked with setting up a contingency program for a large general contractor. Your project teams insist that the schedule they've built is already optimized. Owners push back, claiming that adding time means losing bids. And project directors worry that contingency will be used as a crutch instead of a strategic tool. The challenge? Convincing stakeholders that contingency isn't just extra time—it's the key to delivering projects successfully in a world where the unexpected is inevitable. We're joined this week by Noah Aronson, PSP, LEED AP Scheduling Manager at Holder Construction who tackles this challenge head on.Continue LearningCheck out our new book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠, ⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, an Intel project leader and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

Mit Dr. Naja von Schmude (Peregrine.ai) Staffel #12 Folge #1 | #Marketing_021 Der Podcast über Marketing, Vertrieb, Entrepreneurship und Startups *** https://peregrine.ai https://de.linkedin.com/in/najavonschmude *** Im neuesten "Marketing From Zero To One" Podcast-Interview ging es dieses Mal um Naja von Schmude und ihr Startup Peregrine.ai, das KI-gestützte Software für Dashcams in Fahrzeugflotten entwickelt. Naja berichtete über ihren Werdegang von der Universität (FU Berlin & Uni Heidelberg) über Bosch und ihre Zeit in Stanford und TomTom bis zur Gründung von Peregrine.ai im Jahr 2019. Die Technologie ihres Startups ermöglicht die Analyse von Verkehrssituationen in Echtzeit und hilft Logistik- und Flottenbetreibern, Risiken zu minimieren. Sie sprach über die Herausforderungen der Produktentwicklung, Vertriebskanäle, den Einfluss generativer KI auf ihre tägliche Arbeit und den regulatorischen Rahmen für KI in Europa. Abschließend ermutigte sie insbesondere Frauen, sich in der Tech- und Startup-Szene zu engagieren. Mit dabei war KI-Experte und Seriengründer Michael Högemann. *** 01:53 - Vorstellung von Naja von Schmude 06:08 - Gründung von Peregrine.ai 08:49 - Was macht Peregrine.ai genau? 09:37 - Technische Umsetzung und Vertrieb 12:21 - Markt und Kunden 15:09 - Validierung der Geschäftsidee 17:11 - Erste Kunden und Business Case 21:07 - Geschäftsmodell von Peregrine.ai 22:42 - Vertrieb und Marketingstrategie 26:13 - Finanzierung und Investoren 28:19 - Warum der Name Peregrine.ai? 30:08 - Herausforderungen und Besonderheiten von KI-Produkten 34:16 - Einfluss des generativen KI-Hypes 35:42 - KI im Arbeitsalltag bei Peregrine.ai 40:04 - Regulatorische Herausforderungen (EU AI Act) 43:22 - Skalierungsstrategie und Zukunftspläne 46:24 - Rückblick auf die Gründung und Lessons Learned 49:57 - Persönliche Entwicklung durch die Gründung 51:12 - Höhen und Tiefen der letzten fünf Jahre 53:32 - Zukunft der Informatik und KI-Berufe 55:04 - Expansion in internationale Märkte 57:41 - Abschluss und letzte Worte *** Die Zeitangaben können leicht abweichen.

In this episode we dive into working with challenging owners.The ChallengeImagine this: You're deep into a project when the owner hands full planning and scheduling oversight to a third-party consultant. Suddenly, you're facing schedule reviews, DCMA checks, and an endless back-and-forth. The owner trusts the consultant's opinion more than your expertise, and every update turns into a battle. How do you turn that conflict into collaboration without losing control of your schedule? We're join this week by Scott Carrico.Continue LearningCheck out our new book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠,⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, an Intel project leader and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

In this episode we dive into Predictable vs Agile.The ChallengeIn this episode, we are joined by Georgia Stilwell, Director of Client Solutions at Alice, and we debate whether construction projects should prioritize a predictable schedule or embrace an agile, adaptive approach to planning. We explore the benefits, challenges, and cultural shifts needed to implement anti-fragile scheduling in the industry.Continue LearningCheck out our new book The Critical Path Career: How to Advance in Construction Planning and SchedulingSubscribe to the Beyond Deadlines Email NewsletterSubscribe to the ⁠⁠⁠⁠Beyond Deadlines⁠⁠⁠⁠ Linkedin Newsletter⁠⁠Check Out Our YouTube Channel⁠⁠.ConnectFollow ⁠⁠⁠Micah⁠⁠⁠,⁠⁠⁠Greg⁠⁠⁠, and ⁠⁠Beyond Deadlines⁠⁠ on LinkedIn.Beyond DeadlineIt's time to raise your career to new heights with Beyond Deadlines, the ultimate destination for construction planners and schedulers. Our podcast is designed to be your go-to guide whether you're starting out in this dynamic field, transitioning from another sector, or you're a seasoned professional. Through our cutting-edge content, practical advice, and innovative tools, we help you succeed in today's fast-evolving construction planning and scheduling landscape without relying on expensive certifications and traditional educational paths. Join us on Beyond Deadlines, where we empower you to shape the future of construction planning and scheduling, making it more efficient, effective, and accessible than ever before.About MicahMicah, an Intel project leader and Google alumnus, champions next-gen planning and scheduling at both tech giants. Co-founder of Google's Computer Vision in Construction Team, he's saved projects millions via tech advancements. He writes two construction planning and scheduling newsletters and mentors the next generation of construction planners. He holds a Master of Science in Project Management, Saint Mary's University of Minnesota.About GregGreg, an Astrophysicist turned project guru, managed £100M+ defense programs at BAE Systems (UK) and advised on international strategy. Now CEO at ⁠⁠Nodes and Links⁠⁠, he's revolutionizing projects with pioneering AI Project Controls in Construction. Experience groundbreaking strategies with Greg's expertise.Topics We Coverchange management, communication, construction planning, construction, construction scheduling, creating teams, critical path method, cpm, culture, KPI, microsoft project, milestone tracking, oracle, p6, project planning, planning, planning engineer, pmp, portfolio management, predictability, presenting, primavera p6, project acceleration, project budgeting, project controls, project management, project planning, program management, resource allocation, risk management, schedule acceleration, scheduling, scope management, task sequencing, construction, construction reporting, prefabrication, preconstruction, modular construction, modularization, automation, Power BI, dashboard, metrics, process improvement, reporting, schedule consultancy, planning consultancy, material management

Cheesy and Fondue talk about the Big Game and AI. We talk about a Gouda ad that wasn't so gouda. We talk AI blunders, Big Game snacks and a name change for Chuck E. Cheese. We find out Cheesy and Fondue's favorite go to party recipe and of course, we tell a very cheesy joke!Find us at www.justcheesy.com and everywhere you enjoy social media! https://linktr.ee/JustCheesy***Newsly is the sponsor of this episode! Go to https://newsly.me to download the free app and listen to articles, podcasts and digital radio! Get a FREE 1-Month Premium Subscription by using promo code CHEESY. Start listening today! ***Why is cheddar the most dangerous of all the cheeses? Because it is very sharp!Show Notes Big fumble Ai vs cheese https://www.theverge.com/news/608188/google-fake-gemini-ai-output-super-bowlhttps://www.bbc.com/news/articles/cx2j15r1g09o.amphttps://www.bbc.com/news/articles/cd11gzejgz4ohttps://www.wisn.com/article/entertainment-milwaukee-cheese-market-in-super-bowl-ad/63704585https://www.pcgamer.com/software/ai/googles-new-ai-search-feature-has-been-recommending-people-drink-urine-light-in-color-so-heres-how-to-turn-its-ai-overviews-off-to-avoid-such-dodgy-advice/https://www.researchgate.net/publication/365641896_Automatic_Monitoring_Cheese_Ripeness_using_Computer_Vision_and_Artificial_Intelligencehttps://www.counton2.com/sports/the-big-game/americans-expected-to-eat-29-million-pounds-of-cheese-during-the-super-bowl/#:~:text=Dairy%20Farmers%20of%20Wisconsin,cheese%20during%20the%20Superhttps://nypost.com/2024/01/30/lifestyle/study-finds-the-best-part-of-the-super-bowl-is-not-the-actual-game/https://www.prnewswire.com/news-releases/americans-to-devour-29-million-pounds-of-cheese-for-the-big-game--thats-enough-to-fill-a-14-pound-cheese-basket-for-every-philly-and-kc-resident-302368131.html

Next in Creator Media spoke with Paul Greenberg, CEO of Butterworks, on how his company uses AI to help brands make more successful social video content, and why so far, the technology has been a net positive.  Still, Greenberg talked about the dangers of the proliferation of AI slop and why it's going to become challenging for consumers and brands to sort through what's real, what's not, and what kind of attention is most valuable.

Controlling weeds on farms is a sticky, two part challenge. First, you've got to identify the weeds, as distinct from the plants you want to grow. Then, you've got to destroy the undesirables and keep the rest. For today's farmers, these two tasks can seem straightforward, but to do them at the scale required in modern agriculture– not so much. Identifying weeds, especially with computer vision, is a topic we discussed on the podcast last year, and now we're circling back to talk about the available solutions on the destruction side. Herbicides have been the unchallenged behemoth in this space for decades, but as issues with efficacy and environmental impact mount, farmers are increasingly looking to other options. In the last few years we've seen many novel solutions– from mechanical tools to microwaves to flamethrowers. This week, we're sitting down with Liam Hescock, Founder and CEO of Azaneo, one of our portfolio companies, to talk about their solution– which harnesses the power of electricity. For more information and resources, visit our website. The information in this post is not investment advice or a recommendation to invest. It is general information only and does not take into account your investment objectives, financial situation or needs. Before making an investment decision you should seek financial advice from a professional financial adviser. Whilst we believe the information is correct, we provide no warranty of accuracy, reliability or completeness.

Ep. 151 features Simon Gerszberg from ShotQuality, a sports data extraction company using CV, AI and data science to optimize pricing for Sports-books and syndicates.   Hear him discuss: How a chance college roommate pairing sparked the beginning for ShotQuality The strategy shift that saw them move away from selling analytics to colleges - despite having 25 Division 1 teams as clients How their first sportsbook deal came from betting into the market using ShotQuality data His experience successfully navigating the dreaded operator integration roadmap News of their expansion from a basketball-only product to a multi-sport offering His perspective on the sports data ecosystem, and where ShotQuality fits within it The joint role of computer vision and human validation in their technology platform How he successfully fundraised a seven-figure seed round as a first-time founder   Speaking of the NEXT NYC Summit, capacity is limited and tickets will sell out. Secure yours now and get $200 off your Full Event Pass with code SB2NYC52. Get your ticket here: https://next.io/summits/newyork/#tickets Catch the video version of this episode here.   Learn more

Fei-Fei Li is a pioneering AI scientist breaking new ground in computer vision, a Stanford professor, and currently leading the innovative start-up World Labs. While her career is deeply rooted in technical expertise, Dr. Li's journey is driven by an insatiable curiosity. In this episode, Brad and Dr. Li reflect on poignant moments from her memoir, "The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI," highlighting the crucial role of keeping humanity at the center of AI development. They also explore how government-funded academic research, driven by curiosity rather than profits, can lead to unexpected and profound discoveries that propel innovation and economic opportunities.Click here for the episode transcript.

In this episode of the IoT For All Podcast, Chris Ricciuti, Founder and CEO of Noteworthy AI, joins Ryan Chacon to discuss how computer vision and AIoT are helping utilities ensure grid reliability, resiliency, and safety. The conversation covers the evolution of computer vision, the challenges faced by utilities, such as aging infrastructure, extreme weather events, and increased demand from electric vehicles and data centers, real-world examples of how computer vision improves grid management, and advice for organizations on adopting AIoT. Chris Ricciuti is a seasoned technology entrepreneur and executive with over 20 years of experience at the intersection of software solutions and industry applications. As the Founder & CEO of Noteworthy AI, Chris leads a groundbreaking company that helps electric utilities enhance the reliability, resiliency, and safety of the electric grid using fleet vehicle-mounted cameras, edge computing, and computer vision. Noteworthy AI provides fleet vehicle-mounted smart cameras and AI that help utilities improve the reliability, resiliency, and safety of the electric distribution grid at scale while reducing O&M costs. By operating autonomously during routine vehicle operations, their technology can increase situational awareness and realize cost savings and efficiencies across various use cases, including geolocation and asset inventory, asset inspection, vegetation management, joint use/attachment compliance, and lighting audits. Discover more about IoT at https://www.iotforall.com Find IoT solutions: https://marketplace.iotforall.com More about Noteworthy AI: https://www.noteworthy.ai/ Connect with Chris: https://www.linkedin.com/in/ricciuti/ (00:00) Intro (00:16) Chris Ricciuti and Noteworthy AI (01:20) Evolution of computer vision (04:25) Challenges utility companies face (09:05) Training computer vision models (11:28) Real examples of computer vision (14:07) Accelerating extreme weather response times (17:46) Why utility companies need to adopt AIoT (19:11) Future of computer vision and AIoT (20:11) Advice for adopting computer vision and AIoT (21:30) Learn more and follow up Subscribe on YouTube: https://bit.ly/2NlcEwm Join Our Newsletter: https://newsletter.iotforall.com Follow Us on Social: https://linktr.ee/iot4all

Welcome to Season 2 of the Orthobullets Podcast. Today's show is Podiums, where we feature expert speakers from live medical events. Today's episode will feature ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Dr. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Romil Shah⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and is titled ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Computer Vision & Large Language Models in Orthopedics.⁠⁠⁠⁠⁠ Today's episode will be sponsored by the 2025 California Orthopaedic Association Annual Meeting, taking place May 1st - 4th, 2025 in Universal City, CA. Follow ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Orthobullets⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on Social Media: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube