Counting Sand Angelo Kastroulis

In this podcast episode, Angelo continues his discussion with Myk on the use of artificial intelligence in building materials, focusing on AI Timber. The conversation explores the potential of AI in creating new materials and the benefits of assembling building components off-site in factories, which can improve quality and reduce construction time.

Myk highlights the importance of technologies like augmented reality (AR) and digital twins in modern construction. Digital twins, which provide a real-time virtual model of physical objects, can enhance efficiency by tracking components from production to assembly. This approach is compared to the aerospace industry, where parts are manufactured in different locations but assembled seamlessly.

The use of digital twins extends beyond construction, aiding in building management and sustainability by optimizing energy usage and facilitating future recycling or upcycling of materials. The episode also discusses mass customization, which allows for the creation of unique building components at scale using CNC machines.

AR is emphasized as a crucial tool for on-site assembly, with applications ranging from remote assistance to fully automated guidance systems. This technology can significantly improve the speed, accuracy, and safety of construction projects.

In this episode of the "Counting Sand Podcast," host Angelo Kastroulis sits down with Myk Murashko, CEO of Maestro, a construction tech startup. The discussion revolves around the integration of artificial intelligence and other technological advancements in the construction industry, a sector historically resistant to change.

Myk Murashko, who comes from an architectural background, shares his journey from studying architecture at Cambridge to founding Maestro. He delves into how his company aims to revolutionize building processes by bridging computer science with construction to enhance sustainability, efficiency, and quality. Maestro's approach focuses on moving the complexity of construction from on-site activities to pre-fabrication processes using CNC machines and digital twins.

A significant part of the conversation is dedicated to the potential of AI to optimize the use of materials such as mass timber, reducing waste and emissions. Myk explains how Maestro utilizes advanced technologies like LiDAR and AI optimization to precisely cut timber, aligning the grains for maximum structural integrity and minimal waste.

The episode also touches on the broader implications of technological integration in traditional industries. Myk and Angelo discuss the importance of adopting new technologies in a way that respects and incorporates existing practices and the craftsmanship that characterizes the construction industry.

This episode not only highlights the innovative strides being made in construction technology but also reflects on the challenges and opportunities of bringing high-tech solutions to traditional fields. Angelo wraps up the conversation by emphasizing the importance of practical applications of technology that meet market needs and improve industry standards.

In this episode of our HIMSS 24 coverage, host Angelo Kastrouis is joined by Nick Stepro, Chief Product and Technology Officer at Arcadia, to explore the future of healthcare. They dive into the crucial topics of value-based care, the impact of social determinants of health, and the transformative role of AI in healthcare. The conversation highlights the need for a shift from transactional patient histories to a more comprehensive, holistic approach. By integrating diverse data sets, including social and economic factors, healthcare providers can develop a longitudinal view of a patient's health, enhancing care for individuals and communities alike. Join us as we unpack these complex topics and envision a more integrated future for healthcare.

Links:
Nicholas Stepro
https://www.linkedin.com/in/nickstepro/
https://arcadia.io/

Angelo Kastroulis
https://www.linkedin.com/in/angelok1/
https://twitter.com/AngeloKastr

Angelo Kastroulis and Petter Graff, two technology enthusiasts, explore the exciting field of artificial intelligence and its influence on everyday products. In this episode, they perform a taste test of hot sauces, attempting to discern the difference between AI-optimized hot sauce and traditionally-made sauce.

Angelo and Shohaib discuss the process of introducing new ingredients into hot sauce production using AI. They explore different approaches, such as creating new models or expanding the feature space. They also discuss the concept of transfer learning and whether to build upon an existing model or start from scratch. They highlight the benefits of using metaphors, like hot sauce, to explain complex concepts in a more tangible and relatable manner. Shekeib, who is less familiar with the technical aspects, appreciates the ability to understand and learn through these analogies. The conversation touches on the broader field of AI, including topics like Bayesian optimization, neural networks, reinforcement learning, and generative pre-trained transformers. Angelo expresses excitement about discussing mathematical concepts in a way that can engage a wider audience.

AI Hot Sauce Brothers, Shekeib and Angelo, discuss their process of optimizing hot sauce using Bayesian optimization. Shekeib, the subject matter expert in hot sauce, shares that the process involved trying various iterations of their base sauce and adjusting the amounts of ingredients such as vinegar, peppers, salt and jalapeño based on their taste tests and ratings. The brothers also noted the limitations of human-led optimization as compared to AI-led optimization which takes into account the interaction of ingredients and converges faster. They conclude by appreciating the role of Bayesian optimization in simulating human expertise and intuition, hence speeding up the process of creating an optimized hot sauce.

Check out their hot sauce here: https://www.bayesiansauce.com/