SPAITIAL

SPAITIAL
SPAITIAL

Welcome to Spaitial - the podcast where the real world meets the digital world, as we explore the intersection of spatial computing and AI.

  1. 19/08/2024

    Unlocking the stratosphere with Paul Stevens

    This week, AB has an amazing chat with Paul Stevens, CEO of Voltitude, a company focused on exploring and unlocking the potential of the stratosphere for research and commercial applications. Paul discusses his background working on the Zephyr program at Airbus, developing solar-powered high-altitude pseudo-satellites. He explains the challenges faced in designing aircraft that can maintain their position in the stratosphere while balancing the delicate energy budget. Paul and his team at Voltitude aim to overcome the vulnerability of these aircraft to gusts and turbulence during ascent and descent, expanding their operating envelope. Voltitude is currently exploring the use of small, low-cost, biodegradable latex balloons to carry meteorological sensors (dropsondes) into the stratosphere. These balloons can drift for several days, dispensing dropsondes that transmit atmospheric data as they descend to sea level. Paul discusses the regulatory framework for high-altitude balloons and the potential for using machine learning and AI for mission planning and route optimization. Connect with Paul on LinkedIn at: https://www.linkedin.com/in/paul-stevens-b07b0382/ or on the Voltitude web site. We’re also publishing this episode on YouTube, if you’d like to watch along in full living colour: https://youtu.be/_d5wYy14mx4 Chapters 07:14 – Voltitude’s Current Projects Paul discusses Voltitude’s current projects, including the use of small, low-cost, biodegradable latex balloons to carry meteorological sensors (dropsondes) into the stratosphere. These balloons can drift for several days, dispensing dropsondes that transmit atmospheric data as they descend to sea level. He also mentions the regulatory framework for high-altitude balloons and the potential for using machine learning and AI for mission planning and route optimization. 19:15 – Super-pressure Balloon Technology Paul discusses the possibility of miniaturizing super-pressure balloon technology to create a more sustainable and tactical delivery system for environmental sensors. He explains the differences between zero-pressure and super-pressure balloons, and the challenges involved in designing a lightweight, long-endurance system. 35:24 – Improving Aircraft Resilience Paul discusses Voltitude’s efforts to improve the resilience of highly aeroelastic aircraft to turbulence and gusts. He explains their approach of using sensors to detect deformations in the aircraft’s shape and actuators to control the lift distribution, restoring the desired shape and flight control authority. Paul also mentions the potential for using AI to preemptively adjust the aircraft’s shape based on sensory inputs. Transcript and Links ABWell g’day and welcome to Episode 25 of SPAITIAL. If you’re watching this, it is a lot darker, all my coloured lights are a lot brighter, something’s happening. Yes, it’s my evening. Why? That’s because I’m talking to a very special guest today. A big welcome to Paul Stevens – coming to us from sunny UK. Yes, I get to use those two words together in the one sentence. Paul, g’day, how are you? Welcome. PaulOh hello, thank you very much for having me. It’s great, I’m very well, and it is indeed sunny. In fact, we’re having a little heatwave, so a lot of confused British people. ABOkay ‘heat wave’… I must ask the question. Weather check, what do you mean by heat wave per se? What’s a UK heat wave? PaulWell yesterday it was 31 degrees. Which is very uncomfortable for us British folk. ABThat is “everyone to the beach”, “everyone grab the flannels” and start to, yeah, okay. Well done. That does count as a nice heatwave. Well done! PaulWell, that’s saying is something from somebody who’s used t

    50 min
  2. 12/08/2024

    Is low-code spatial AI possible? With Grant Case from Dataiku

    Is point’n’click end-to-end low-code spatial AI… possible? What about *no code*? Spoiler alert: the answers are yes and yes. Knowledge of development patterns and code syntax and how many words you can type per minute are no longer barriers to entry for most of us. It’s time to get our hands dirty with spatial data! This episode features Grant Case, the Vice President of Sales Engineering at Dataiku for the Australia Pacific Japan region. AB and Grant discuss Dataiku’s AI platform and its capabilities in handling various data types, including structured, unstructured, and spatial data. Grant highlights Dataiku’s ability to cater to different user personas, from low-code and no-code users to pro-coders, through its intuitive interface and integration with open-source libraries. On a wider note, we explore the advancements in large language models (LLMs) and their impact on data analysis, particularly in the spatial domain. Grant shares examples of how Dataiku leverages LLMs and digital twinning to enhance data understanding and decision-making processes. The conversation also touches on the role of Chief Data Officers, data governance challenges, and the trade-offs between building custom solutions and leveraging existing tools. Connect with Grant on LinkedIn at: https://www.linkedin.com/in/analyticseverywhere We’re also publishing this episode on YouTube, if you’d like to watch along in full living colour: https://youtu.be/1EU042y4_7A Chapters 05:17 – Dataiku’s AI Platform and User Personas Grant explains Dataiku’s AI platform, which caters to different user personas, from low-code and no-code users to pro-coders. The platform aims to bring these diverse users together across multiple technologies, allowing them to work in their preferred manner. Dataiku has been recognized as a leader in the Gartner Magic Quadrant for its completeness of vision, particularly in catering to low-code and no-code users. 10:16 – Advancements in Large Language Models (LLMs) The conversation shifts to the advancements in large language models (LLMs) and their impact on data analysis. Grant discusses how LLMs have opened up new possibilities for unstructured data use cases, such as natural language processing (NLP) and spatial analysis. He provides examples of how LLMs can assist in tasks like understanding business locations and mapping data. 22:36 – Digital Twinning and Spatial Data Analysis Grant highlights the concept of digital twinning, which involves creating virtual replicas of physical systems or environments. He discusses how digital twinning can be applied to various domains, such as disaster recovery, infrastructure planning, and manufacturing. Grant also shares examples of how Dataiku leverages LLMs and computer vision for spatial data analysis and decision-making. 35:45 – Open-Source Integration and Deployment Options The discussion touches on Dataiku’s integration with open-source libraries and its deployment options. Grant emphasizes Dataiku’s ethos of being open to both proprietary and open-source technologies, allowing customers to choose the best solution for their needs. Dataiku supports cloud, on-premises, and hybrid deployment models to cater to different organizational requirements. 31:15 – Data Governance and the Role of Chief Data Officers AB and Grant discuss the challenges of data governance and the role of Chief Data Officers (CDOs) in organizations. Grant acknowledges the ongoing struggle with data quality and governance, highlighting the importance of proving the value of data and AI initiatives to secure a seat at the executive table. 36:36 – Build vs. Buy: Leveraging Existing Solutions The conversation explores the trade-offs between building custom solutions and leveraging existing tools. Grant advocates for evaluating whet

    51 min
  3. 16/07/2024

    Arseniy Sergeyev & Adaptive User Interfaces

    This week is a free-flowing conversation between AB and Arseniy Sergeyev – a true ‘young gun’ of the spatial computing world – and the co-founder of a startup working on Adaptive User Interfaces (AUI). AUI aims to create interfaces that adapt to the user’s context, needs, and preferences, providing more relevant and personalized experiences. Arseniy and AB discuss the current limitations of generalized interfaces and the potential of AI, specifically large language models, to understand user context and generate tailored interfaces. Arseniy shares his vision of a future where the world becomes the interface, with smart objects and environments adapting to individual users. He outlines his startup’s approach, starting with specific use cases and then building a foundational system for broader applications. Heads up for a massive opportunity: as Arseniy heads to San Fransisco this week for meetings and networking, do note that he is looking for a technical co-founder – details in the show notes below! https://www.linkedin.com/in/arseniysergeyev We’re also publishing this episode on YouTube, if you’d like to watch along in full living colour: https://youtu.be/VDGRFUI_Khc Chapters 03:07 Current Limitations and the Potential of AI for Adaptive User Interfaces Arseniy discusses the current limitations of generalized interfaces, which are fixed and do not adapt to individual user journeys and contexts. He highlights the potential of AI, specifically large language models, to understand user context and generate tailored interfaces based on free-text prompts and user data. 06:02 A Vision for the Future Arseniy shares his vision of a future where the world becomes the interface, with smart objects and environments adapting to individual users. He envisions a system where interfaces are generated based on user requests, and physical objects and digital interfaces seamlessly blend, providing personalized experiences. 25:11 Startup Approach and Use Cases Arseniy outlines his startup’s approach, starting with specific use cases like food and then building a foundational system for broader applications. He discusses the importance of understanding the user’s context, preferences, and available options to provide optimal solutions. Arseniy mentions potential use cases like choosing food, conference matching, and wine selection. 38:17 Data Privacy and Decentralization Arseniy emphasizes the importance of decentralized data processing and user privacy, aiming to create a user-centric system where individuals control their data. He discusses the potential risks of centralized data collection and the need for a more secure and privacy-focused approach. 57:50 Partnerships and Timeline Arseniy discusses potential partnerships with technology providers and the need for guidance and mentorship from experts in personal AI systems and human-computer interaction. He estimates a timeline of 5-10 years for significant progress in realizing the vision of adaptive user interfaces and personalized experiences. Transcript and Links ABWell, g’day and welcome to SPAITIAL, This is Episode 23 – coming to you from deepest, darkest, emphasis on darkest in my part of the world. It’s a bit late at night. Why is it late at night? I hear you ask? That’s because I’m talking to Arseniy Sergeyev, who is in Riga in Latvia. So in your part of the world it’s just turned over midday. Now I’m basing this timing on the fact that we’ve coordinated this and the Tour de France starts in a little while. So I’ve sort of got my time zones really good, but Arseniy, welcome. Great to chat to you. Oh, look, I’ve got to say, and I’d better spill some beans. This is our second chat. We were chatting actually at the start of the year, even before we w

    1h 2m
  4. 08/07/2024

    Mehdi Ravanbakhsh - the OG of GeoAI & Remote Sensing

    AB and Dr. Mehdi Ravanbakhsh – an expert in the field of geospatial AI (GeoAI) – discuss a wide range of topics related to Mehdi’s extensive experience and contributions in the geospatial industry, including photogrammetry, remote sensing, and AI applications in various domains such as agriculture, forestry, fisheries, and insurance. Mehdi shares his background, starting with his PhD research in Germany on road crossing detection from high-resolution aerial imagery, which combined photogrammetry and computer vision techniques. The conversation delves into the advancements in photogrammetry, from manual tie-point identification and feature extraction to the current state of automation using AI and machine learning. Mehdi highlights the challenges faced in the past, such as the time-consuming nature of manual processes and the limitations in creating large-scale mapping due to resource constraints. The discussion also covers the applications of GeoAI in various industries, including agriculture, where Mehdi’s company, Mapizy, has developed solutions for pest control, crop monitoring, and farm insurance. In the fisheries domain, Mehdi shares his experience with a project funded by the Australian Marine Research Institute (AIMS), which involved automating the process of fish counting, measurement, and species identification from underwater videos. Furthermore, Mehdi discusses his recent visits to countries like Vietnam and Indonesia, where he explored opportunities for national mapping organizations to benefit from Mapizy’s technology. He highlights the challenges faced by these organizations in creating foundational databases, such as national orthophotos and elevation data, and how Mapizy’s solutions can help reduce the requirement for ground control points and improve data accuracy. The conversation also touches on the future of the geospatial industry, including the increasing availability of high-resolution satellite imagery, the integration of radar and LiDAR data, and the potential of low-earth orbit satellites for data acquisition. Mehdi can’t contain his excitement about the bright future of the geospatial industry and the continuous advancements in sensor technology and data processing capabilities. Dr Medhi on LinkedIn: https://www.linkedin.com/in/mehdi-ravanbakhsh-phd-94674869 Watch this Episode on YouTube We’re also publishing this episode on YouTube, if you’d like to watch along in full living colour: https://youtu.be/yjSRSUDOmpY Chapters 00:02:31 Photogrammetry and Automation The discussion delves into the advancements in photogrammetry, from manual tie-point identification and feature extraction to the current state of automation using AI and machine learning. Mehdi highlights the challenges faced in the past, such as the time-consuming nature of manual processes and the limitations in creating large-scale mapping due to resource constraints. He also discusses his work at the CRC for Geospatial Information in Australia, collaborating with renowned experts like Professor Clive Fraser and Professor Christian Heipke, who played a significant role in automating the photogrammetry process. 00:09:16 Applications of GeoAI The conversation covers the applications of GeoAI in various industries, including agriculture, forestry, fisheries, and insurance. Mehdi shares his company Mapizy’s solutions for pest control, crop monitoring, and farm insurance in the agriculture sector. He also discusses a project funded by the Australian Marine Research Institute (AIMS), which involved automating the process of fish counting, measurement, and species identification from underwater videos. 00:54:35 National Mapping Organizations and Foundational Data Mehdi discusses his recent visits to countries like Vietnam and Indonesia, where he explored opportunities for national mapping organizations to benefit

    1h 15m
  5. 02/07/2024

    Allison Kealy & the Innovative Planet Research Institute

    This week, AB talks Alison Kealy, the inaugural Director of the Innovative Planet Institute at Swinburne University in Victoria Australia. The discussion covers the institute’s goals, focus areas, and Alison’s background in geodesy, positioning, navigation, and timing (PNT). Alison’s expertise lies in satellite positioning, quantum sensors for navigation, and the fusion of various technologies for accurate and trustworthy PNT solutions. We touch on the institute’s focus on achieving the UN Sustainable Development Goals, harnessing innovation for real-world impact, and building partnerships within Swinburne and externally. AB also *finally* learns the right way to say the word “geodesists”. https://www.linkedin.com/in/allison-kealy-7419804 We’re also publishing this episode on YouTube, if you’d like to watch along in full living colour: https://www.youtube.com/watch?v=-fBsbLGdN7M Transcript and Links ABWell, g’day and welcome to SPAITIAL. This is Episode 21. We are back after a minor hiatus. Yes, winter colds and perils did come our way, that kind of thing. That’s what happens in this part of the world in the Southern Hemisphere. I have with me though, a beaming smile. Alison Kealy, welcome to SPAITIAL – so glad to have you with us! AllisonThank you so much, Andrew. Lovely to be here. ABCheers. I’m going to say I had to look back – it was two months ago – I saw your LinkedIn profile saying, I have just been, you know, I’ve changed roles and I’m now the… I’ll give it a go, but you need to correct me: the Director for the… ABAnd here we go. Yes. The Institute. No, I got it wrong. The Innovative Planet Institute. Goodness me. Can we start there? Can you tell us what the Innovative Planet Institute is, what your role is, and what’s been on your plate the last little bit? AllisonI’m two months into the role at Swinburne University, where they’ve established a new institute called the Innovative Planet Institute, and I’m the inaugural director. And so it gives you the chance to build itself into what I’m calling sustainability at Swinburne. This is really where Swinburne wants to provide its people and technology solutions to addressing a wide range of sustainability challenges that the world is facing right now and framing it in the context of the UN SDGs: sustainable development goals to do that. ABWow, that’s phenomenal. It’s so you say it’s a brand new Institute within Swinburne University. As you know I do read LinkedIn quite a lot. Swinburne just got a lovely press release last week. They’ve climbed the worldwide in Australia and Victorian in Australia University ranks. They’re definitely top 50. Top three in Victoria, I think. So numbers are going up, which is a glorious sign. Joining the ranks of other institutes within Swinburne, is it a brand new facet/silo or is going to be cross-collaboration across the Swinburne ecosystem? AllisonThere’s three other institutes at Swinburne, and obviously to develop solutions that address sustainability problems, you can’t do that in one institute. So there’s obvious connections into things like the space and health and defense and all of these platforms, data, AI, all of these things coming together. And so it’s a real opportunity for Swinburne to leave Roof, which is what is really powerful capability for a small university into really making impact. ABBatting above its weight, love it. So what are the sort of the, uh, pillars within the Institute that you’re going to be driving? What are the, what are the focuses the foci? AllisonI’ve kind of set centered it around for four key pillars and those four key pillars are energy transitions. So looking at how we achieve zero emissions, Supply chain, decarbonization, Our

    42 min
  6. 03/06/2024

    Phil Delaney & MapAI

    This week, AB talks with Phil Delaney, CEO of MapAI. This new company aims to provide a conversational interface for querying spatial data using large language models fine-tuned for spatial analysis. Phil discusses the motivation behind MapAI, its current state of development, and plans for future deployment and integration with existing platforms. He also shares insights from other projects he has been involved with at Frontier SI, a social enterprise focused on spatial technologies, including Farm Map 4D for monitoring land cover and Value Australia for automated property valuation. We also touch upon the Australian Satellite-Based Augmentation Service (SBAS) called SouthPan, which provides precise satellite positioning corrections, and its potential $6 billion in benefits across various sectors in Australia. https://www.linkedin.com/in/phillipdelaney We’re also publishing this episode on YouTube, if you’d like to watch along in full living colour: https://www.youtube.com/watch?v=2lMGd1Bygec Chapters 06:42 – MapAI: Motivation and Development Phil discusses the motivation behind MapAI, which arose from a collaboration with the University of New South Wales to explore the spatial capabilities of large language models like ChatGPT. The goal was to create a fine-tuning layer that could translate natural language questions into spatial queries and provide appropriate responses, including maps and visualizations. MapAI aims to integrate with existing platforms and data sources, acting as a conversational interface for spatial data analysis. Phil shares details about the current state of development, including early proof-of-concept deployments with a major data company and local councils. 25:56 – Frontier SI and Other Projects Phil provides insights into other projects he has been involved with at Frontier SI, including Farm Map 4D, which used satellite data to monitor land cover and assist land managers in sustainable practices, and Value Australia, an automated property valuation model that incorporated a wide range of spatial data and allowed users to simulate the impact of infrastructure changes on property values. 36:39 – Australian Satellite-Based Augmentation Service (SBAS) Phil discusses the Australian SBAS called SouthPan, which broadcasts correction signals from space to improve the accuracy of satellite positioning systems like GPS. He explains the motivation behind SouthPan, its potential benefits across various sectors, and the economic analysis that led to its operational funding. Phil also touches upon the GNAN program, which distributes positioning corrections over mobile networks, achieving even higher accuracy on compatible devices. Transcript and Links ABWell, g’day and welcome to SPAITIAL. This is Episode 20, and we are joined by a special guest this week. I have Phil Delaney with me. Phil is – goodness me – wearing many hats. We’ll find out exactly which hats he’s wearing today. I was intrigued by Phil’s LinkedIn post a couple of weeks ago. He is CEO of the newly formed organization called Map AI. And yes, dear listeners and watchers, you can tell that I was intrigued instantly. https://mapai.net ABPhil, welcome. Great to have you with us. Look, your history is wild and varied. And I say ‘hats’ is probably not even the correct terminology for it. Is there a plethora of many hats phrase we can possibly put on you? But by all means, can you introduce yourself a little bit? Tell us a bit about some of the hats you wear right now. We’ll get up to MapAI soon. PhilI wear two main hats at the moment. One is as Deputy CEO and Chief Growth Officer of Frontier SI. Frontier SI is a social enterprise that’s been around for about 20 years. And we really sit between research, government, and industry to help bring interesting ideas

    47 min
  7. 27/05/2024

    O my! The rise of fast LLMs

    Mirek and AB discuss the rise of fast large language models and their impact on various industries and workflows. We cover the recent announcements and capabilities of models like Meta’s Llama 3, Google’s Gemini, OpenAI’s GPT-4, and Microsoft’s Co-pilot Plus. We explore the models’ speed, multimodal capabilities, context windows, and conversational interfaces – and discuss the implications of these advancements, such as improved human-AI interaction, potential privacy concerns, and the challenges of integrating AI into existing workflows. And because we can’t help it, we speculate on Apple’s upcoming AI developments and the future of AI assistants in coding and robotics. We’re also publishing this episode on YouTube, if you’d like to watch along in full living colour: https://youtu.be/ROBjyhYZKgs Chapters 01:45 – Meta’s Llama 3 and Google’s Gemini We begin the episode on Meta’s Llama 3 and Google’s Gemini models. Llama 3 is praised for its speed, with responses being generated almost instantly, making it difficult for users to keep up. Gemini, on the other hand, is highlighted for its multimodal capabilities, allowing it to identify objects in live video and engage in conversations about them. We also discuss Gemini’s large context window, enabling it to build conceptual knowledge during conversations. 10:08 – OpenAI’s GPT-4 and Microsoft’s Co-pilot Plus We analyze OpenAI’s GPT-4 and Microsoft’s Co-pilot Plus models. GPT-4 is praised for its conversational interface, including synthesized voices with human-like qualities. However, concerns are raised about the potential privacy implications of Microsoft’s Co-pilot Plus, which can record users’ screens to provide context-aware assistance. The discussion also touches on the challenges of integrating these models into existing workflows and the potential for AI hallucinations or inaccuracies. 30:22 – Apple’s Potential AI Developments We speculate on Apple’s upcoming AI developments, given the company’s control over both hardware and software stacks. Anticipation is that Apple may announce tighter AI integration across its devices and operating systems during the upcoming Worldwide Developers Conference (WWDC). The discussion also touches on the potential for Apple to improve its virtual assistant, Siri, and integrate AI capabilities more deeply into its products. 52:30 – AI in Coding and Robotics Finally, we shift to the potential impact of large language models on coding and robotics workflows by exploring the benefits of using AI assistants for tasks like documentation, code generation, and problem-solving. However, we also acknowledge the limitations of these models and the need for human expertise in integrating and understanding complex systems. Transcript and Links ABWell, G’day, welcome to SPAITIAL. This is Episode 19 coming to you the last week of May after a gap of one week. So it’s been a fortnight since we had Merrick, who’s here online. G’day, Mirek. MirekHello, how’s everybody doing? ABGood, good. Yeah, we had a great reaction to your All about ROS, which has been good. A lot of podcast downloads. The YouTube channel is starting to bite a little bit, which is really good. We are definitely in the playpen of load numbers. So, hey, if you haven’t checked out the YouTube series, it is what you are listening to now, but you can watch it. So tell you what, we’ll wave – something that you can’t see on the podcast. There you go. You also can’t see Hubert in the background doing laps. He’s the turtle. And you can’t tell what Mirek is drinking at this moment. Look, welcome. This is almost a “news of the month” kind of thing. ABThere ha

    1h 2m
  8. 10/05/2024

    ROS: the Robot Operating System

    Mirek and AB give an introduction/primer on ROS – the Robot Operating System – an open-source framework for developing robotic applications. We cover ROS’s modular design, which allows for the separation of tasks and communication between different nodes or components. We touch on topics such as ROS’s messaging system, simulation tools, robot description formats, and the importance of Docker for containerization. We touch on the steep learning curve associated with ROS, the availability of tutorials and community support, and the decision-making process for companies considering whether to adopt ROS or develop their own solutions. Mirek hares his personal journey with ROS, his work on developing a tool for remote robot control and data visualization, and the potential for scaling ROS to handle swarm robotics scenarios. Towards the end, we discuss the recent developments at Boston Dynamics, including the unveiling of the new Atlas robot, and the company’s use of ROS in their projects. We’re also publishing this episode on YouTube, if you’d like to watch along in full living colour: https://youtu.be/Wsw8mDnMGnY Chapters 01:22 Introduction to ROS We introduce ROS (Robot Operating System) as a framework and messaging system for enabling communication between different components of a robot. We highlight that ROS is not a traditional operating system but rather a middleware that facilitates the integration of various hardware and software components. ROS is described as a powerful tool for complex robotic systems, but it comes with a steep learning curve. 04:35 ROS Architecture and Components The discussion delves into the modular architecture of ROS, which allows for the separation of tasks and communication between different nodes or components. Each node can be responsible for a specific functionality, such as reading sensor data, controlling motors, or performing navigation calculations. ROS provides tools for describing the robot’s geometry, simulating environments, and handling communication between nodes using protocols like WebRTC and UDP. 15:57 Learning and Using ROS We talk about the challenges involved in learning and using ROS effectively, including the availability of tutorials, documentation, and community support, but also highlight the variability in the quality of these resources. Mirek shares his personal experience of spending a significant amount of time learning ROS and developing a tool for remote robot control and data visualization using WebRTC and Docker. 34:19 Adoption and Alternatives to ROS The discussion touches on the decision-making process for companies considering whether to adopt ROS or develop their own solutions. While some companies may find ROS too complex and opt for custom solutions, the participants argue that ROS can be beneficial for projects involving iterative hardware changes or complex tasks like navigation and computer vision. We also mention the availability of commercial ROS-like operating systems and the option of writing software from scratch using libraries. 40:18 Boston Dynamics and ROS Towards the end of the discussion, talk turns to the recent developments at Boston Dynamics, including the unveiling of the new Atlas robot with its impressive capabilities. Mirek confirms that Boston Dynamics uses ROS in their projects and provides access to robot models and descriptions for use in simulations. Transcript and Links ABWell, g’day and welcome to SPAITIAL. This is Episode 18 – coming to you from the early part of May. Yes, it’s just been Star Wars Day. Yes, I did wear my Chewbacca suit. That’s a story for a different day. Welcome again. I’m joined here by Mirek Burkon, our robotic expert, mechanical expert. Hey, Mirek, you good? MirekHello, how’s everybody doing? ABGood to see you. Look at th

    52 min

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Welcome to Spaitial - the podcast where the real world meets the digital world, as we explore the intersection of spatial computing and AI.

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