Podcasts about Machine vision

In this episode of the Share PLM Podcast, we are joined by Patrick Hillberg, an adjunct professor at Oakland University, where he teaches a graduate course in engineering management (called "Product Lifecycle Management") and is an Industry Advisor to the Department of Industrial and Systems Engineering. Patrick has decades of industry experience in designing, developing and leading teams in Product Lifecycle Management (PLM), Digital Twins, Digital Manufacturing, Process Planning, Robotics, and Machine Vision applications in Aerospace, Shipbuilding, Automotive, Construction, Packaging, and other industries. Join us as we dive deep into these topics:⚉ Product Lifecycle Management (PLM) and Sustainability⚉ Engineering ethics and catastrophic product failures⚉ The role of culture in engineering and business decisions⚉ Engineering Change Management: People vs. Process⚉ What does a solution architect do?⚉ Solution Architect vs. Project Manager⚉ Agile approaches and communication in engineering projects⚉ Are meetings a waste of time?⚉ The rise of software-defined vehicles and new safety challenges⚉ Traditional waterfall project management vs. agile methodology⚉ Traditional waterfall approach vs. agile systems thinking in academia⚉ Balancing finance, learning, and uncertainty⚉ PLM approaches in the US vs. Germany⚉ The role of human resources in PLM implementationCONNECT WITH PATRICK:Linkedin: https://www.linkedin.com/in/patrickhillberg/ CONNECT WITH SHARE PLM:Website: https://shareplm.com/ Join us every month to listen to fascinating interviews, where we cover a wide array of topics, from actionable tips, to personal experiences, to strategies that you can implement into your PLM strategy.If you have an interesting story to share and want to join the conversation, contact us and let's chat. We can't wait to hear from you!

Send us a textIn this engaging episode of The Digital Executive Podcast, host Brian Thomas sits down with Maria Greicer—a seasoned executive with over 18 years of experience in AI-driven startups spanning Israel, Europe, and the USA—to explore the transformative world of machine vision technology. With a unique blend of entrepreneurial acumen and a medical background, Maria offers listeners an insider's view into how emerging AI innovations are reshaping industries worldwide.Throughout the conversation, Maria delves into the distinctive AI ecosystems of different regions. She highlights Israel's dynamic and risk-friendly environment, where a strong startup culture fuels rapid innovation and frequent experimentation. In contrast, she explains that while the U.S. benefits from abundant capital, its approach is somewhat more conservative. European markets, on the other hand, prioritize stability and predictable growth, which can sometimes slow the pace of breakthrough innovations. These regional nuances, Maria notes, have significantly influenced her own approach to leadership and strategic decision-making in the tech industry.Maria further explains her role at Keymakr, where she leads initiatives to create and optimize high-quality training data for machine vision AI applications. She details the company's proprietary annotation platform, Keylabs AI, which underpins their rigorous in-house process for developing training data sets tailored to diverse applications—from autonomous vehicles and in-cabin safety systems to precision agriculture and medical imaging. Emphasizing the importance of stringent quality control, Maria outlines how every project undergoes a four-tier review process to ensure the highest data integrity and model reliability.The discussion also touches on the challenges posed by global data privacy regulations. Maria recounts real-world scenarios where navigating varying international data protection laws—such as GDPR in Europe and similar stringent standards in the U.S.—requires a meticulous approach to data consent, security, and processing. Her insights reveal how Keymakr's commitment to ethical data practices and in-house processing not only safeguards sensitive information but also positions the company at the forefront of compliance and innovation.Ultimately, this episode offers a comprehensive look into the evolving landscape of machine vision AI, blending technical insight with real-world experience. Listeners gain a deeper understanding of how strategic risk-taking, cutting-edge technology, and robust data governance are key to driving innovation in today's fast-paced digital environment.

Summary: In this podcast episode, Rupert interviews Oliver King-Smith, the founder of SmartR AI, discussing his journey from consultancy to creating a product-driven business. They explore the capabilities of SCOTi an AI tool designed to simplify data management, and how AI can enhance operational efficiency and create new job opportunities. Oliver emphasizes the importance of understanding business use cases when implementing AI and shares insights on the future of AI technology and its potential impact on various industries. Chapters: 00:00 Introduction to AI and SmartR AI 02:50 The Journey into AI and Product Development 04:33 SCOTi: The AI Companion for Data Management 10:13 Client Demands and AI's Role in Data Simplification 14:53 AI's Impact on Job Creation and Market Dynamics 20:12 Operational Efficiency: Real-World AI Applications 24:02 Navigating the AI Landscape: Finding the Right Solutions 28:15 The Future of AI: Predictions and Opportunities About Oliver King-Smith: Oliver holds a PhD in Mathematics from UC Berkeley and an executive MBA from Stanford, and is an innovator with expertise in Data Visualization, Statistics, Machine Vision, Robotics, and AI. As a serial entrepreneur, he has founded three companies and contributed to two successful exits. At his latest company, smartR AI, Oliver King-Smith spearheads innovative patent applications harnessing AI for societal impact, including advancements in health tracking, support for vulnerable populations, and resource optimization. Throughout his career, Oliver has been dedicated to developing cutting-edge technology to address challenges, and today smartR AI is committed to providing safe AI programs within your own secure and private ecosystems. www.linkedin.com/in/oliverkingsmith www.smartr.ai

Today, we're diving into the fascinating world of artificial intelligence and coding with Itamar Friedman, CEO & Co-Founder of Qodo, a groundbreaking generative AI coding platform.About Itamar : With a rich background in technology and innovation, including a pivotal role as Director of Machine Vision at Alibaba, Itamar now leads Qodo, which has transformed the way over a million developers write code.Episode Highlights:Qodo's Genesis: Itamar shares the story of Qodo's inception and its mission to revolutionize coding through AI.Ethical AI: Delving into the significance of ethical AI, Itamar discusses how Qodo ensures its technology enhances rather than hinders human effort.AI and the Future of Work: Itamar offers insights into how AI is reshaping job roles and industries, predicting significant shifts in the tech landscape.Challenges and Triumphs: Hear about the obstacles Qodo faced and the milestones they've achieved under Itamar's leadership.Advice for Tech Innovators: Itamar provides valuable advice for aspiring tech entrepreneurs and innovators looking to make a mark in the AI space.Interested in learning more about how AI is transforming coding? Check out Qodo's platform.

Learn everything you need to know about machine vision, its components, and its use in industrial applications.  About the Article What Is Machine Vision? Learn the difference between computer and machine vision, the four types of machine vision systems, and the importance of lighting in imaging applications. Written by John D. Thrailkill Read by Laura Davis Read the article

Say the words "artificial intelligence" or simply, "A.I." in an art setting, and people think of either cutting-edge, new media art, or of misinformation., hallucination, and plagiarism. But there's a case to be made that those words should prompt you to think about very old art and about very new technology's use in finding out what's real. My colleague at Artnet, Jo Lawson-Tancred has a new book out called A.I. and the Art Market, that serves as an accessible guide to a range of ways that artificial intelligence and machine learning are impacting the art market. There's a lot in the book about valuing art, about selling art, and about navigating the intellectual property challenges around A.I., but we thought we'd drill down into the question of art authentication, which has drawn plenty of headlines and controversy in recent years, all on its own. After all, huge amounts of money hinge on the question of whether a given piece of paint on canvas is actually considered to be by a particular old master painter. The art market has an entire robust world of art historical expertise built up around art authentication, which is revered, but sometimes also viewed with suspicion as corruptible and subjective. Then, here come various forms of A.I. art authentication with its own jargon and new kinds of suspicion aimed at it. So who should you trust? Jo has spent a lot of her time talking to various players to help begin to answer that question, and today we dig into the thorny question.

Say the words "artificial intelligence" or simply, "A.I." in an art setting, and people think of either cutting-edge, new media art, or of misinformation., hallucination, and plagiarism. But there's a case to be made that those words should prompt you to think about very old art and about very new technology's use in finding out what's real. My colleague at Artnet, Jo Lawson-Tancred has a new book out called A.I. and the Art Market, that serves as an accessible guide to a range of ways that artificial intelligence and machine learning are impacting the art market. There's a lot in the book about valuing art, about selling art, and about navigating the intellectual property challenges around A.I., but we thought we'd drill down into the question of art authentication, which has drawn plenty of headlines and controversy in recent years, all on its own. After all, huge amounts of money hinge on the question of whether a given piece of paint on canvas is actually considered to be by a particular old master painter. The art market has an entire robust world of art historical expertise built up around art authentication, which is revered, but sometimes also viewed with suspicion as corruptible and subjective. Then, here come various forms of A.I. art authentication with its own jargon and new kinds of suspicion aimed at it. So who should you trust? Jo has spent a lot of her time talking to various players to help begin to answer that question, and today we dig into the thorny question.

In this episode, we talked to Jill Walker Rettberg, Professor of Digital Culture at the University of Bergen in Norway. In this wide-ranging conversation, we talk about machine vision's origins in polished volcanic glass, whether or not we'll actually have self-driving cars, and that famous photo-shopped Mother's Day Photo released by Kate Middleton in March, 2024. 

In this episode of Control Intelligence, written by contributing editor Rick Rice, editor in chief Mike Bacidore explains the differences between machine vision and computer vision.

Itamar Friedman, CEO of Qodo on the evolution of AI in software development, and the changing philosophy of AI.  The former director of Machine Vision, which was bought out by Alibaba, established Codium AI before ChatGPT, predicts a future in which increasingly AI will think like humans, and argues that System  2 Thinking could even improve human reasoning. He gives us an insight into many of the tools that his own company is creating, and explains that jobs for developers will grow rather than fall victim to AI. The need for coders and software engineers, he says, will increase, but their jobs will expand and operate at a higher level. #Business #Leadership #AI #SoftwareEngineer

If you're planning to use machine vision to assist with quality control or automate other visual inspections, there are some things you need to account for when designing your system. In the latest episode of the Industrial Automation Insider podcast, two engineers from Tri-Phase Automation explain what you should think about when spec'ing out your vision system to avoid headaches later on and make sure you get the results (and return on investment) you want.  

Machine vision on STM32MP2. Collabora, a member of the ST Partner Program, presented GStreamer, a computer vision pipeline tailored for neural networks.

Today's episode features a conversation recorded live in May at The King's Festival of Artificial Intelligence in London. The event featured as the launch of Cinema and Machine Vision: Artificial Intelligence, Aesthetics and Spectatorship, a new book by Daniel Chávez Heras from Edinburgh University Press. Before a live audience, Daniel and Will chat about the themes and topics covered in the book, the intersections of AI and Film Studies, and answer audience questions. To learn more about Daniel and his work, click here. Daniel has also agreed to give away two copies of the book to listeners! Learn more here. Follow the show on ⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠. Learn more at the pod's ⁠⁠⁠⁠⁠website⁠⁠⁠⁠⁠. Get the ⁠⁠⁠⁠⁠free newsletter⁠⁠⁠⁠⁠. Music by Ketsa.

They say there's two sides to every story. Well, now there's at least two viable machine vision solutions to every problem when you invite both seasoned and early career vision system engineers to the table, and that's making it easier to see the right path forward, according to two engineers. Find out why they feel this way, and what diversity of thought means for the impact of vision technology investments on your business. 

From building machines to building Apple iPhones, Roman Piszcz (Founder of Quotebeam) has a lot of experience in creating products and helping businesses find real solutions. It was from his personal passion for creating a better way for companies to purchase products. This week on Workforce 4.0, host Ann Wyatt sits down with Roman and Nikki Gonzales to discuss in more detail about his passion for entrepreneurship, what it means to hire "intraprenuers" and how start up companies can leverage the interviewing process to identify and hire leading talent. Roman and Nikki also share their unique perspectives on the benefits of remote work, how automation and machine learning apps empower people to focus on more meaningful work and why providing tools for ownership is crucial to organizational success in the digital era. In This Episode:-03:06 Roman's Journey and QuoteBeam's Origin -18:03 Exploring The Spirit of Entrepreneurship -29:59 Evaluating Candidates Via An Interviewing Question About Climate Change -31:03 Unlocking Interview Tactics To Assess Critical Thinking-31:56 Hiring Fresh Graduates: A Unique Approach -36:05 The Future of Workforce and Technology -38:57 The Evolution of Communication -55:47 Building and Retaining High-Performing Teams More About Roman Piszcz:Throughout his career, Roman always designed machines using two principles: simplicity and performance. These two principles brought about the inception of Quotebeam. Although the machines he was designing were using state-of-the-art technologies, Roman realized that the process of designing them was extremely fragmented and inefficient. Recognizing these engineering and procurement gaps in parts search, sourcing, and vendor collaboration marked his first efforts in automating these processes. During the five years before taking Quotebeam full time in early 2021, Roman led a team at Apple's iPhone & Core Technologies manufacturing operations. That experience amplified his belief of the importance of data transparency and supplier collaboration, and led to the beginning of Quotebeam as a company. Learn more and connect with Roman here. About Nikki Gonzales:Nikki has a unique mix of skills including growing SaaS startups and direct experience as a field Sales Engineer in industrial automation for Festo and Keyence. After a series of meetings over a few years from Silicon Valley to Seattle, a couple of babies, a global pandemic, and a move to Texas, finally the stars aligned for Nikki to join Quotebeam full time! She's always loved problem solving and building things, so it led to a career in engineering sales spanning technologies such as Machine Vision, Pneumatics & Mechatronics, Computational Electromagnetics, and AI & Data Analytics, to name a few. Learn more and connect with Nikki here. The Future of Work (and this Episode) Is Brought To You By Secchi:Secchi is a revolutionary workforce engagement tool created for organizations to make data-driven frontline decisions in real-time. By measuring and combining multiple people-related lead indicators, Secchi provides in-the-moment visibility into individual frontline employee performance, team performance, engagement/turnover risks, and positive employee behaviors all while removing the traditional barriers of administrative burden on leaders. To learn more about Secchi, check them out here.

Noel Buckley founded Knolly Bikes, a highly respected mountain bike brand based in British Columbia, Canada. He has a background in physics from the University of British Columbia and worked as an engineering physicist for a decade before starting Knolly in 2006.Before Knolly, he worked in machine vision systems for industrial forestry applications and hydrogen hybrid power systems. This experience gave him insights into developing advanced products for harsh environments and real-world testing methods. As an avid mountain biker from Vancouver's North Shore riding scene, he applied these principles to launch Knolly and design bikes optimized for aggressive riding. ___Get your copy of Personal Socrates: Better Questions, Better Life Connect with Marc >>> Website | LinkedIn | Instagram | Twitter Drop a review and let me know what resonates with you about the show!Thanks as always for listening and have the best day yet!*A special thanks to MONOS, our official travel partner for Behind the Human! Use MONOSBTH10 at check-out for savings on your next purchase. ✈️*Special props

Quality spoke with David Dechow of Machine Vision Source following his recent presentation at The Quality Show South about vision solutions for quality applications and integration that drives application success with current and emerging technologies.

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

In this episode, Nikki  interviews Yamini Vattipalli, Director of Operations at Easy Automation Systems. Yamini shares her journey from being an image processing engineer to her current role. They discuss the challenges and importance of vision applications, the transition to system integration, and the role of AI in machine vision. Support the Show.Co-Hosts are Alicia Gilpin Director of Engineering at Process and Controls Engineering LLC, and Nikki Gonzales Head of Partnerships at Quotebeam Follow us on Linkedin for live videos, demos, and other contentMusic by Samuel JanesAudio Editing by Laura MarsilioLeave us an audio message or get in touch at automationladies.io

Ashley Harris is an experienced Operations Leader used to working in fast-growing and high-pressure companies. He spent 5 years working at Tesla, where he rose to a management role for European Operations and Logistics. He's currently Director of Operations for Clearview, a pioneering company in the Machine Vision space, where he works with the Managing Director and Senior Leadership Team to help deliver strategic goals (serving as "Integrator", using the Entrepreneurial Operating System (EOS)).In this episode of the First-time Founders Podcast, Ash compares and contrasts the style of Elon Musk, one of the greatest entrepreneurial Visionaries of our time, with a good small business leader, running on EOS. We talk about aligning teams around a Vision; recruiting and managing People; use of Data; understanding Issues at their root; if, when and where Processes are necessary; and quarterly operating rhythms. We explore what it takes as an entrepreneurial leader to really 'put a dent in the universe'!Interested viewers can reach Ash via LinkedIn - https://www.linkedin.com/in/ashley-w-harris/ - and Rob (https://www.linkedin.com/in/robertliddiard/) at Rob@mission-group.co.uk (or to book some free time with Rob, visit https://www.eosworldwide.com/rob-liddiard).

In this second episode of season two, Scott is joined by Jill Walker Rettberg, co-director of the Center for Digital Narrative to talk about her book on Machine Vision and how algorithms are changing the way we see the world.  Sign up for ⁠⁠the CDN newsletter⁠⁠ here. References Rettberg, Jill Walker. 2024. Machine Vision: How Algorithms Are Changing the Way We See the World. Cambridge, UK: Polity Press.  Vertov, Dziga, director. 1929. Man with a Movie Camera. All-Ukrainian Photo Cinema Administration. 68 minutes. https://en.wikipedia.org/wiki/File:Man_With_A_Movie_Camera_(Dziga_Vertov,_1929).webm   Hayles, N. Katherine. 1999. How We Became Posthuman: Virtual Bodies in Cybernetics, Literature and Informatics. Chicago: University of Chicago Press.  Ring LLC. 2017. Neighbors by Ring. Android & iOS. Shusterman, Neal. 2018. Thunderhead. Simon & Schuster. Kronman, Linda. 2019. The deception of an infinite view – exploring machine vision in digital art. BCS Learning and Development Ltd. http://dx.doi.org/10.14236/ewic/POM19.11.

Where exactly should these automation technologies be used within the reverse logistics chain? Alex Whiting, founder of MiTEQ, reveals what he's found to work best in our latest episode of the Industrial Automation Insider.

This is a repost of Episode 149, originally aired on April 2, 2023. This conversation was the 3rd most popular Future of Mobility episode in 2023. ... Angus Pacala serves as the CEO at Ouster, which he co-founded in 2015 to make lidar both digital and ubiquitous. Key topics in this conversation include: The fundamentals of digital LiDAR, and the advantages over analog technology Why Ouster and Velodyne merged The potential for digital LiDAR to transform smart infrastructure Ouster's strategic approach to modular product development, and how it enables them to explore various application segments How Ouster is providing LiDAR solutions for L2 and L3 systems, as well as fully automated driving systems Links: Show notes: ⁠http://brandonbartneck.com/futureofmobility/anguspacala⁠ ⁠https://www.linkedin.com/company/ouster/⁠ ⁠https://twitter.com/ousterlidar?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor⁠ ⁠https://www.linkedin.com/in/apacala/⁠ ⁠https://ouster.com/⁠ Angus's Bio: Angus Pacala serves as the CEO at Ouster, which he co-founded in 2015 to make lidar both digital and ubiquitous. Mr. Pacala has watched self-driving technology evolve from the early days of the DARPA Grand Challenge to today where he has a unique window into the future of automation through Ouster's work with approximately 700 customers spanning the automotive, industrial, robotics, and smart infrastructure industries. Prior to Ouster, Mr. Pacala co-founded lidar company Quanergy Systems and served as the Director of Engineering. Before that, he was a Battery Engineer at Amprius, Inc. He received his Bachelor and Master degrees in mechanical engineering from Stanford University. About Ouster Ouster (NYSE: OUST) is a leading global provider of high-resolution scanning and solid-state digital lidar sensors, Velodyne Lidar sensors, and software solutions for the automotive, industrial, robotics, and smart infrastructure industries. Ouster is on a mission to build a safer and more sustainable future by offering affordable, high-performance sensors that drive mass adoption across a wide variety of applications. With a global team and high-volume manufacturing, Ouster supports over 850 customers in over 50 countries. Ouster is headquartered in San Francisco, CA with offices in the Americas, Europe, Asia-Pacific, and the Middle East. Future of Mobility: The Future of Mobility podcast is focused on the development and implementation of safe, sustainable, effective, and accessible mobility solutions, with a spotlight on the people and technology advancing these fields. ⁠linkedin.com/in/brandonbartneck/⁠ ⁠brandonbartneck.com/futureofmobility/

EPISODE 1880: In this KEEN ON show, Andrew talks to Jill Walker Rettberg, author of MACHINE VISION, about how algorithms are changing the way we see and are seen by the worldJill Walker Rettberg is Professor of Digital Culture and Co-Director of the Center for Digital Narrative (CDN), a Norwegian Center of Research Excellence that has received a €15 million grant from the Norwegian Research Council (2023-2033). She is also Principal Investigator of the ERC project Machine Vision in Everyday Life: Playful Interactions with Visual Technologies in Digital Art, Games, Narratives and Social Media (2018-2024). Rettberg is currently developing new research on how new language-based AI is impacting the kinds of stories we tell and that spread online. She argues that generative AI has deep cultural biases that are less easy to spot than the biases that are evident in, for example, facial recognition. This emerging work draws upon the research on AI and visual technologies in the Machine Vision project as well as on Rettberg's decades of narratological research into digital genres of storytelling, such as electronic literature, blogging and transmedia narrative.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.

Quality control is one of those things that only a select few people pay attention to—until something goes wrong, then everyone cares. That's especially true in the drug manufacturing industry, where episodes like cross-contamination in a drug factory can shut down a production line and create instant shortages of important medicines. And if a contaminated medicines ever does get shipped out to clinics or stores, people's lives can be at stake. So drug makers are usually pretty receptive toward any new technology that can help them detect manufacturing problems before they get out of hand.That's the market opening that Harry's guest Taylor Chartier says she saw back in 2020, during the coronavirus pandemic. Chartier watched the stories about the Baltimore company Emergent BioSolutions, which was manufacturing vaccines for Johnson & Johnson and AstraZeneca and had to throw out millions of doses of both vaccines due to suspected cross-contamination, and thought: there has to be a better way. So she started her own company. And today her startup Modicus Prime is partnering with top pharma companies to use new machine vision and AI capabilities to catch drug manufacturing problems faster.For a full transcript of this episode, please visit our episode page at http://www.glorikian.com/podcast Please rate and review The Harry Glorikian Show on Apple Podcasts! Here's how to do that from an iPhone, iPad, or iPod touch:1. Open the Podcasts app on your iPhone, iPad, or Mac. 2. Navigate to The Harry Glorikian Show podcast. You can find it by searching for it or selecting it from your library. Just note that you'll have to go to the series page which shows all the episodes, not just the page for a single episode.3. Scroll down to find the subhead titled "Ratings & Reviews."4. Under one of the highlighted reviews, select "Write a Review."5. Next, select a star rating at the top — you have the option of choosing between one and five stars. 6. Using the text box at the top, write a title for your review. Then, in the lower text box, write your review. Your review can be up to 300 words long.7. Once you've finished, select "Send" or "Save" in the top-right corner. 8. If you've never left a podcast review before, enter a nickname. Your nickname will be displayed next to any reviews you leave from here on out. 9. After selecting a nickname, tap OK. Your review may not be immediately visible.That's it! Thanks so much.

The Impressionist painter Claude Monet wrote that he was driven ‘wild with the need to put down what I experience'. In his long career he revolutionised painting and made some of the most iconic images of western art. The art critic Jackie Wullschläger's biography of Monet looks at the man behind the famous artist. Monet's late series of paintings of water lilies became less and less concerned with a conventional depiction of nature. The artist Mat Collishaw's latest works also draw on evocative imagery from the natural world, including use of AI technology. At an exhibition at Kew Gardens (until April 2024) Collishaw takes inspiration from 17th century still life paintings of flowers, but on closer inspection the viewer sees the flowers morph into layers of insects. Humans have always used technology to expand our limited vision, from the stone mirror 8,000 years ago to facial recognition and surveillance software today. Jill Walker Rettberg is Professor of Digital Culture at the University of Bergen. In her book, Machine Vision, she looks at the implications of the latest technologies, and how they are changing the way we see the world. Producer: Katy Hickman

Lex chats with Sam Bobley, founder and CEO of Ocrolus - a fintech infrastructure company that powers underwriting processes for lenders like SoFi, Lending Club, and Enova. In this episode Sam starts off by sharing how he got started in entrepreneurship at a young age and the influence of his father, who was a serial entrepreneur. Bobley explains how Ocrolus focuses on document automation using OCR technology and the challenges they faced in the early days. He also discusses the evolution of machine vision and the improvements in handling semi-structured and unstructured documents. Bobley highlights the importance of vertical-specific solutions and the integration of AI technologies into financial services. He shares the company's experience during the COVID-19 pandemic and the pivot they made to focus on the Paycheck Protection Program. Bobley emphasizes the need for transparency, focusing on the big picture, and having a support system to navigate the challenges of entrepreneurship. He rounds off the episode discussing the trends he sees in the industry, including the rise of large language models and the adoption of cashflow-based underwriting. MENTIONED IN THE CONVERSATION Ocrolus's Website: https://bit.ly/3QHYoeNSam's LinkedIn profile: https://bit.ly/3SrC7TU Topics: artificial intelligence, ai, machine vision, OCR, LLM, machine learning, automation, fintech, embedded banking Companies: Ocrolus, Plaid, OpenAI, Google, Amazon, AWS, OnDeck ABOUT THE FINTECH BLUEPRINT 

Marcin Kowalski from Avicon Vision Systems in Poland pulls the veil back on some very cool ways this technology is being used to track ball movements, confirm the quality of a chicken's life, and more.  

In this episode of the Brains and Machines podcast, EE Times regular Sunny Bains talks to Dr Yulia Sandamirskaya, who has just created the Neuromorphic Computing Group at Zurich University of Applied Sciences. We discuss the role that dynamical systems theory plays in robotics, her work at with Intel's Loihi platform, and what she plans to do in her new position at ZHAW, particularly related to vision. After that, Sunny discusses the interview with Giulia D'Angelo from the Italian Institute of Technology and Ralph Etienne-Cummings from Johns Hopkins University.

Joe Gugliotti, president, R.J. Wilson, Inc., describes the importance of good images.

Tendai Chitapi and Oliver Windram, co-founders of Kuronga. Kuronga is a platform that utilizes machine vision and deep learning to help farmers accurately grade their produce and target the right customers. The founders recognized that farmers were missing out on market opportunities due to a lack of tools and expertise in grading fresh produce. They discuss the challenges faced by farmers in terms of market access and strict market requirements. The episode explores Kuronga's vision, the types of farmers they are currently working with, and their plans for growth in the next five to ten years.  Tune in to this exciting episode for insights into sustainable agriculture and the latest innovations in the industry.Please rate and review this podcast episode.Email info@mbalinwoko.comSubscribe to The Mbali Nwoko Podcast today!

In this first episode of the podcast, Scott Rettberg is joined by his co-director and partner Jill Walker Rettberg. They talk about what has inspired them over the years to start this research Center of Excellence, the concept of "algorithmic narrativity," and some of the research that the Center will focus on including digital narratives in electronic literature, computer games, social media, computational narrative systems, AI, XR and more. Sign up for the newsletter coming soon. References University of Bergen. n. d. “Center for Digital Narrative.” https://www.uib.no/en/cdn.   Infocom. 1977. Zork. Personal Software. PDP-10 mainframe computer. https://www.pcjs.org/software/pcx86/game/infocom/zork1/.   Gillespie, W., Rettberg, S., Stratton, D., & Marquadt, F. 1999. The Unknown [Hypertext fiction]. Web. http://unknownhypertext.com/.   ELMCIP. n. d. “Electronic Literature Knowledge Base.” https://elmcip.net/.   Strachey, Christopher. 1952. M.U.C. Love Letter Generator. HTML.   ELMCIP. n. d. “Digital Arts and Culture 1998 Conference.” https://elmcip.net/event/digital-arts-and-culture-1998-conference.   Kittler, Friedrich, Dorothea von Mücke, and Philippe L. Similon. 1987. “Gramophone, Film, Typewriter.” October 41: 101–18. https://doi.org/10.2307/778332.  Jhave Johnston, David. 2019. ReRites. Anteism Books, Montreal. http://glia.ca/rerites/.   Wittig, Rob. 2022. Netprov: Networked Improvised Literature for the Classroom and Beyond. Amherst College Press. https://doi.org/10.3998/mpub.12387128.  University of Bergen. n. d. “Machine Vision.” https://www.uib.no/en/machinevision.  

In the latest installment of the Center for Media at Risk podcast series, doctoral fellow Roopa Vasudevan speaks with Kelsey Halliday Johnson and Lisa Marie Patzer about art, technology and the rapidly changing world of machine intelligence and vision.

Harpreet Sahota, a data science expert and deep learning developer at Deci AI, joins Jon Krohn to explore the fascinating realm of object detection and the revolutionary YOLO-NAS model architecture. Discover how machine vision models have evolved and the techniques driving compute-efficient edge device applications. This episode is brought to you by AWS Inferentia (https://go.aws/3zWS0au), by https://WithFeeling.ai, the company bringing humanity into AI, and by Modelbit (https://modelbit.com), for deploying models in seconds. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • What is machine vision? [07:02] • Object detection and YOLO architectures [13:00] • Deci's YOLO-NAS: Optimal object detection model architecture [23:39] • Developer Relations [1:00:16] • Harpreet's 'top-down' approach to learning Deep Learning [1:06:50] Additional materials: www.superdatascience.com/693

In der Nachmittagsfolge begrüßen wir heute Oliver Welter, CTO und Co-Founder von Nia Health, und sprechen mit ihm über die erfolgreich abgeschlossene Seed-Finanzierungsrunde in Höhe von 3,5 Millionen Euro.Nia Health entwickelt klinische Diagnose- und Therapiesysteme zur kontinuierlichen digitalen Unterstützung von Patientinnen und Patienten mit chronischen Hauterkrankungen. Mit dem innovativen Machine-Vision Ansatz ermöglicht das Startup eine exakte Dokumentation des Krankheits- und Therapieverlaufs und sorgt somit für eine optimierte Behandlung. Das Unternehmen arbeitet eng mit deutschen Patientenverbänden und führenden Klinikern zusammen und konnte bereits namhafte Kunden aus der Versicherungs- und Pharmabranche gewinnen. Das Health-Tech hat bereits preisgekrönte und zum Teil weltweit als erste digitale Medizinprodukte ihrer Art zugelassene Apps in den Feldern Neurodermitis sowie Psoriasis entwickelt. Durch die digitalen medizinischen Lösungen erhalten tausende Patientinnen, Patienten und Angehörige tägliche Unterstützung. Mit der Plattform wird zudem die häufig unterversorgte Patientenpopulation adressiert. Nia Health wurde im Jahr 2019 von Dr. Reem Alneebari, Oliver Welter und Tobias Seidl als ein Spin-off des Berliner Universitätsklinikums Charité gegründet.Nun hat das MedTech in einer Seed-Runde 3,5 Millionen Euro unter der Führung des High-Tech Gründerfonds eingesammelt. Zudem haben sich die Kapitalgeber Adesso Ventures, Ventura BioMed Investors, der Fund von Pharma-Branchengröße Dr. Kurt Schwarz sowie Business Angels an der Runde beteiligt. Das frische Kapital wird u.a. in den Ausbau des Marktanteils im deutschsprachigen Raum investiert. Außerdem soll der Launch in weiteren EU-Ländern in den nächsten 24 Monaten unterstützt sowie der Eintritt in den US-Markt vorbereitet werden. Des Weiteren wird die Finanzierung zur Weiterentwicklung der eigenen KI-basierten Technologie eingesetzt, die Machine Vision, Natural Language Processing und Teledermatologie integriert.

Angus Pacala serves as the CEO at Ouster, which he co-founded in 2015 to make lidar both digital and ubiquitous. Key topics in this conversation include: The fundamentals of digital LiDAR, and the advantages over analog technology Why Ouster and Velodyne merged The potential for digital LiDAR to transform smart infrastructure Ouster's strategic approach to modular product development, and how it enables them to explore various application segments How Ouster is providing LiDAR solutions for L2 and L3 systems, as well as fully automated driving systems Links: Show notes: http://brandonbartneck.com/futureofmobility/anguspacala https://www.linkedin.com/company/ouster/ https://twitter.com/ousterlidar?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor https://www.linkedin.com/in/apacala/ https://ouster.com/ Angus's Bio: Angus Pacala serves as the CEO at Ouster, which he co-founded in 2015 to make lidar both digital and ubiquitous. Mr. Pacala has watched self-driving technology evolve from the early days of the DARPA Grand Challenge to today where he has a unique window into the future of automation through Ouster's work with approximately 700 customers spanning the automotive, industrial, robotics, and smart infrastructure industries. Prior to Ouster, Mr. Pacala co-founded lidar company Quanergy Systems and served as the Director of Engineering. Before that, he was a Battery Engineer at Amprius, Inc. He received his Bachelor and Master degrees in mechanical engineering from Stanford University. About Ouster Ouster (NYSE: OUST) is a leading global provider of high-resolution scanning and solid-state digital lidar sensors, Velodyne Lidar sensors, and software solutions for the automotive, industrial, robotics, and smart infrastructure industries. Ouster is on a mission to build a safer and more sustainable future by offering affordable, high-performance sensors that drive mass adoption across a wide variety of applications. With a global team and high-volume manufacturing, Ouster supports over 850 customers in over 50 countries. Ouster is headquartered in San Francisco, CA with offices in the Americas, Europe, Asia-Pacific, and the Middle East. Future of Mobility: The Future of Mobility podcast is focused on the development and implementation of safe, sustainable, effective, and accessible mobility solutions, with a spotlight on the people and technology advancing these fields. linkedin.com/in/brandonbartneck/ brandonbartneck.com/futureofmobility/

David Wilkinson, President of NCR Commerce, is back on the podcast recorded live in person at the NRF show in New York City.First, we chat about our impressions of the 2023 Big Show, and then we quickly dive into some of the most compelling and fascinating issues for the retail industry.  NCR is one of the world's largest suppliers of retail POS equipment; David himself, a 12-year veteran of NCR, and his team have unique insights into the future of self-checkout and POS in a world of AI, machine vision, rapid innovation and retail technological investment. About DavidAs President of NCR Commerce, David is responsible for creating and executing NCR's overall vision and strategy for the retail and hospitality industries. He is focused on helping retailers and restaurants transform, connect, and run their technology platforms. NCR is investing in our customers' success by leveraging the NCR Commerce Platform and world-class services and support to run the entire operation from the back office to the front end. NCR's solutions accelerate the transformation of stores and restaurants around the world, helping them manage their operations more efficiently to deliver a consistent consumer experience.David was elected to the NRF's board of directors at the organization's annual winter board meeting, held at NRF 2023: Retail's Big Show. David's energy and passion, coupled with a strong customer focus, have created a foundation for success. David spent the past twelve years in various roles at NCR. Most recently leading the global Retail team. During his tenure, he held various positions, from leading the Global Retail Sales organization, running the cloud POS start-up within NCR, leading the Emerging Industries team to focusing on NCR's channel business.With nearly 30 years of experience, David has helped many IT and telecom companies expand beyond their traditional business models. He has a proven track record of growing existing business models as well as innovating new ones to fill strategic gaps and accelerate profitability. Prior to joining NCR, David held various leadership positions at leading IT and telecom firms including Avaya, Nortel and Verizon.In addition to his current duties, David is also a member of the Board of Trustees for the NCR Foundation and is a board member of Junior Achievement of Georgia.David has a business administration degree in finance and marketing from Stephen F. Austin State University and an MBA from the University of Texas at Arlington. David currently resides in Milton, Georgia, with his wife and daughter.About Michael Michael is the Founder & President of M.E. LeBlanc & Company Inc. and a Senior Advisor to Retail Council of Canada and the Bank of Canada as part of his advisory and consulting practice. He brings 25+ years of brand/retail/marketing & eCommerce leadership experience with Levi's, Black & Decker, Hudson's Bay, Today's Shopping Choice and Pandora Jewellery.   Michael has been on the front lines of retail industry change for his entire career. He has delivered keynotes, hosted fire-side discussions with C-level executives and participated worldwide in thought leadership panels. ReThink Retail has added Michael to their prestigious Top Global Retail Influencers list for 2023 for the third year in a row. Michael is also the president of Maven Media, producing a network of leading trade podcasts, including Canada's top retail industry podcast, The Voice of Retail. He produces and co-hosts Remarkable Retail with best-selling author Steve Dennis, now ranked one of the top retail podcasts in the world. Based in San Francisco, Global eCommerce Leaders podcast explores global cross-border issues and opportunities for eCommerce brands and retailers. Last but not least, Michael is the producer and host of the "Last Request Barbeque" channel on YouTube, where he cooks meals to die for - and collaborates with top brands as a food and product influencer across North America.

Since 2016, Michael has been a dedicated member of the Miller Resource Group, passionate about his role in the company. He is uniquely positioned to assist professionals and companies in achieving their goals. Michael takes great pride in knowing that his efforts make a positive impact every day.Currently, Michael leads the business development and recruiting efforts for the Factory Automation, Motion Control, Robotics, Machine Vision, and AI industries. Over the years, he has established several strong and lasting relationships with manufacturers, custom machine builders, system integrators, and high-tech/value add distributors. Companies often turn to him when seeking top-tier sales, engineering, and leadership talent for their organization. His success is attributed to the values learned from his family and a steadfast adherence to the “Golden Rule.”In his personal time, Michael enjoys spending time with his family, grilling, and enjoying a cold beer. He is also an avid supporter of Notre Dame football, and actively supports the First Responder, military, and veteran communities.------------------------------------------------------------------------------

MLOps Coffee Sessions #138 with Dattaraj Rao, Explainability in the MLOps Cycle co-hosted by Vishnu Rachakonda. // Abstract When it comes to Dattaraj's interest, you'll hear about his top 3 areas in Machine Learning. What he sees as up and coming, what he's investing his company's time into and where he invests his own time. Learn more about rule-based systems, deploying rule-based systems , and how to incorporate systems into more systems. there is no difference between ML systems and deploying models. It's just that this machine learning model is much smarter than traditional rule based models. // Bio Dattaraj Jagdish Rao is the author of the book “Keras to Kubernetes: The Journey of a Machine Learning Model to Production”. Dattaraj leads the AI Research Lab at Persistent and is responsible for driving thought leadership in AI/ML across the company. He leads a team that explores state-of-the-art algorithms in Knowledge Graphs, NLU, Responsible AI, MLOps and demonstrates applicability in Healthcare, Banking, and Industrial domains. Earlier, he worked at General Electric (GE) for 19 years building Industrial IoT solutions for Predictive Maintenance, Digital Twins, and Machine Vision. Dattaraj held several Technology Leadership roles at Global Research, GE Power, and Transportation (now part of Wabtec). He led the Innovation team out of Bangalore that incubated video track inspection from an idea into a commercial Product. Dattaraj has 11 patents in Machine Learning and Computer Vision areas. // MLOps Jobs board https://mlops.pallet.xyz/jobs // MLOps Swag/Merch https://mlops-community.myshopify.com/ // Related Links Keras to Kubernetes: The Journey of a Machine Learning Model to Production book: https://www.amazon.com/Keras-Kubernetes-Journey-Learning-Production/dp/1119564832 Responsible Data Science Research | Talk @ VLDB 2022| Dattaraj Rao https://www.youtube.com/watch?v=5_19KvSiy8s Operationalizing AI/ML: Journey of an ML Model to Production | Masterclass by Dattaraj Rao https://www.youtube.com/watch?v=Zk3RiiG07Us Dattaraj Rao presenting workshop on MLOps at VISUM 2021 https://www.youtube.com/watch?v=wonUvbMDTUA --------------- ✌️Connect With Us ✌️ ------------- Join our slack community: https://go.mlops.community/slack Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Catch all episodes, blogs, newsletters, and more: https://mlops.community/ Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Vishnu on LinkedIn: https://www.linkedin.com/in/vrachakonda/ Connect with Dattaraj on LinkedIn: https://www.linkedin.com/in/dattarajrao/

We're back for Part 2 from the 2022 Vision Show, hosted by A3, the Association for Advancing Automation.

In October 2022, we ventured to Boston, MA for the Association for Advancing Automation's annual Vision Show and Autonomous Mobile Robots and Logistics Conference (AMRL). In the past, these had been 2 separate events, but this year, A3 brought them together under one roof.You really can't have robotics without imaging and you can't have mobile robotics without machine vision. The tie-ins are endless. It just made sense to bring these events together and it was great being part of this weeklong extravaganza.This is somewhat of an anniversary episode since we covered the AMR and Logistics Conference last year with Jake Hall, the Manufacturing Millennial. We have another 2-part bonus episode for you this week containing over 10 interviews with leaders in robotics and machine vision, including:-Erik Nieves, Founder of Plus One Robotics-Jeremy Bergh, President, North America at IDS Imaging-Joe Gemma, VP of Sales and Marketing at Calvary Robotics-Theng Kuoch of CMES Robotics-Rajesh Iyengar, Founder & CEO of Lincode Labs-Denise Stafford of KUKA Robotics-Patty Katsaros of Locus Robotics-Laura Hoffman, Automation Industry Insider-Matt Charles, VP of Mobile Robotics at RoBEX-Melonee Wise, VP Robotics Automation at Zebra Technologies-Alex Shikany, VP Membership & Business Intelligence at A3Make sure to visit ManufacturingHappyHour.com for detailed show notes and a full list of resources mentioned in this episode. Stay Innovative, Stay Thirsty.

Where does the time go? Let's talk Machine Vision and build upon Rev27-Rev28 about Artificial Intelligence Engineers and catch you up on everything that has been happening! Get your hands on our popular Engineering Notebooks! https://www.engineeringinreallife.com/engineering-notebooks Learn more about Obsidian Breakers on The Sandbox https://www.engineeringinreallife.com/obsidian-breakers My Interview on the Engineering Career Coach Podcast: https://www.youtube.com/watch?v=4_PrQA4bBnw&t=212s&ab_channel=EngineeringManagementInstitute Links to AI and Machine Vision videos: https://www.youtube.com/watch?v=1L0TKZQcUtA&list=PLQdwCecMFVkusNxjnD95c94xTYp5jEWSU Get free online access to the engineering book 10+1 Steps to Problem Solving - An Engineers Guide from a Career in Operational Technology and Control Systems at our website here: https://www.engineeringinreallife.com/book Don't forget to subscribe for more and share the engineering podcast. Head to https://www.engineeringinreallife.com and become a member of the Engineering IRL Community. If you're excited to see what the video has to offer you can watch this on the Engineering IRL Youtube Channel https://www.youtube.com/@engineering_irl/ And to support us consider purchasing an Engineering Notebook covered with inspirational quotes for engineers. It could be a great gift for an Engineer. The other way to support the Engineering IRL podcast is to subscribe and share the show with your friends! I want this to be a top engineering podcast and will be working hard to make that happen. Facebook: www.Facebook.com/engineerIRL Twitter: www.twitter.com/engineering_irl TikTok: https://www.tiktok.com/@engineering_irl Instagram: https://www.instagram.com/engineeringinreallife To know more about our partnerships and how to get in touch with the show visit the top engineering podcast. #Engineering #EngineeringNotebooks #ArtifiialIntelligence #ChatGPT

Guest BioI am a knowledgeable source of factory automation techniques when using machine vision systems, robotics, sensors, and non-contact measurement devices on production lines. My work has used the most influential brands of intelligent cameras, such as Cognex, Keyence, Banner, Omron, Matrox, Dalsa, and more. Most recently, my experience with the Elementary ML platform has shown me what machine learning vision systems can offer, and I am on a path to learning much about the next wave of AI-backed vision systems. My experience reflects 22+ years of hands-on use of machine vision equipment placed directly into production environments.How are people typically using Vision Systems?How can we use them better?Join us as Greg McEntyre is giving us a deep dive into all things Vision Systems.Have questions about or comments on vision systems?Manufacturing Hub Episode 84. Recommended Materials Lord of the Rings Purple Cow Connect with Us Greg McEntyre Vlad Romanov Dave Griffith Manufacturing Hub Let Us Know What You ThinkIf you enjoyed the show, it would mean the world to us if you could leave us a review: https://podcasts.apple.com/us/podcast/manufacturing-hub/id1546805573#manufactuing #automation #digitaltransformation #machinevision

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Using artificial intelligence (machine vision) to increase the effectiveness of human-wildlife conflict mitigations could benefit WAW, published by Rachel Norman on October 28, 2022 on The Effective Altruism Forum. 1. Overview This report explores using artificial intelligence (AI) to increase the effectiveness of human-wildlife conflict (HWC) mitigations in order to benefit wild animal welfare (WAW). Two concrete examples are providing more funding, research and direct work into reducing fatalities due to 1) collisions between bats and wind turbines, and 2) culling crop-raiding starlings. The report aims merely to raise awareness of this topic and introduce the idea for discussion, but not yet strongly suggest it is a cost-effective intervention on par with other interventions - see uncertainties, limitations, and potential for harm. What's the problem profile? HWC is increasing due to human expansions and climate change, (Gross et al., 2021) and is starting to be considered in government strategies and policy. The expected future impact of innovative and effective solutions to HWC could be even larger than currently appreciated. Lethal control or other methods which significantly impact animal welfare are still widely used (such as culling), despite preventative non-lethal strategies growing in more recent wildlife management approaches. Currently deployed AI systems directed towards HWC could be expanded further within the next 10-20 years as they become more reliable, more effective, and cheaper. We should not assume they will prioritize WAW concerns, or be widely used for animals of WAW concern, so this should be embedded before they are potentially rolled out at scale. There are already companies working on AI solutions for specific problems involving endangered species, such as protected areas using AI assisted technology for poacher detection. There is already proof-of-concept of an NGO-backed early warning AI system, ‘WildEyes', with this type of solution being invested in by a local governmental department in Tamil Nadu, India. Buy-in from a range of stakeholders (especially when it benefits humans and profits too) offers a way in with conservationists and researchers who may not otherwise consider WAW. Research and development (R&D) on AI-assisted HWC mitigations would likely attract researchers who would not otherwise consider or be motivated by WAW concerns. What should we be doing differently? A very tentative theory of change: if machine vision-based methods prevent HWC, they could be adopted, even on a small scale helps drop prices allowing for systems to be more widely adopted leads to more support and R&D continued price drops and adoption could create space for legislation to ban harmful or lethal methods of animal control preventing HWC could reduce apathy and antagonism towards “problem species” and make it easier for people to consider the welfare of animals, while also directly reducing negative WAW effects of HWC. This report highlights two examples of HWC where advocates could influence AI-assisted mitigation to directly affect substantial numbers of animals, and spread welfare considerations in software and norms: Wind turbine collisions are a leading anthropogenic cause of bat deaths and cause a significant number of bird deaths (600,000 to 949,000 bats and 140,000 to 679,000 birds annually in North America). We should expect fatalities to increase due to expansions in wind power. Culling of crop-raiding species. In one year, the USDA's Wildlife Services culled 1,028,642 European starlings responsible for agricultural crop damage, because other mitigations are ineffective. Despite this, starlings still cause extensive damage each year. More effective mitigation measures would hold value and could prevent culls. There are a number of r...

aboutGOLF's award-winning simulators are tailored for your specific home or business needs. aboutGolf simulators offer unbeatable accuracy and world-class customer service. On this episode of The Wednesday Match Play Podcast presented by MemberText, Ken Reynolds gives us an overview of aboutGOLF, talks about Machine Vision and the technology they are using, the cost associated with putting a simulator in your home or business and how to find a golf simulator near you. He also explains the Ryder Cup Sim Series and talks about Michael Breed's involvement and the MB 360 Range. This was an educational conversation and an honor having Ken on this show. Let's tee off.

Angelo Stekardis is a Senior Computer Vision Engineer at Rivian, an electric vehicle manufacturer known for their high tech adventure vehicles and Amazon delivery vans. Angelo is a UK Grad who used his love for technology and cars to eventually begin working on cutting edge computer vision technology that helps cars drive themselves. Our discussion covers his journey from UK to Rivian, artificial intelligence, electric vehicles, and ways UK can help more students land high tech jobs. Connect with Angelo on LinkedIn Visit us at MiddleTech.com Twitter Instagram Facebook LinkedIn Logan's Twitter Nate's Twitter Middle Tech is proud to be supported by: Our presenting sponsor, KY Innovation Bolt Marketing Render Capital Endeavor Midwest

With so many innovations in AI and machine vision digitally transforming the manufacturing landscape, Intel's Stephanie Grisafi and Sahar Ehsani joined To the Edge and Beyond to provide insights into exciting trends and opportunities at the forefront of this transformation. Many manufacturers are familiar with the classic machine vision model with algorithms designed for specific products. Any updates or changes to the product require remodeling and “re-teaching” the algorithm to adapt to a new system. Ehsani says, “But when [it comes] to AI and machine vision, and you connect these new technologies with each other, integration of these two brings a solution that is adjustable and selectable for different types and patterns of the product. AI becomes a self-learning tool in that device, so that you can give [AI] the first model, and it will start learning and optimizing itself for a different condition.” Grisafi says that continuous learning is a crucial advantage of utilizing AI with machine vision in manufacturing, “As you add new data points, you're further training that algorithm to deliver increased accuracy and performance. It will lead to faster decisions happening on the factory floor.” AI and machine vision can help make a factory setting safer through detection protocols such as determining if workers are wearing the proper safety equipment. Grisafi notes, “There're a lot of great applications and benefits to applying a machine vision solution in the factory.”The consistency of machine vision eliminates human errors by putting “eyes”. (its camera capabilities) in areas of machines that humans simply cannot monitor. Ehsani explains, “Machine vision removes human dependency. We have different sets of experts on the shop floor, but they have different skills. They have a different type of vision. Machine vision can bring into view things that the human eye cannot see, but the machine can see consistently. We can leverage those expert [human] resources [who] are familiar with the process in the control layer rather than right at the floor and spending their time on those repetitive tasks.”The pandemic shone a stark light on the reality that there is not nearly enough automation in current supply chains to aid the growing demands. This is an area AI and machine vision can play a significant role. Ehsani says, “AI and machine vision brings automation to the supply chain, and they increase efficiency and bring greater accuracy to the factory. Having technologies enabled by machine vision solutions like asset tracking and inventory management – what goes into the warehouse and what comes out – these are the problems that machine vision could solve.” Learn more about AI and machine vision solutions by connecting with Stephanie Grisafi and Sahar Ehsani on LinkedIn or by visiting https://www.intel.com/industrial.Subscribe to this channel on Apple Podcasts, Spotify, and Google Podcasts to hear more from the Intel Internet of Things Group.

About Grant Furlane and LocoMobi World Inc: With over 18,000 followers Mr. Furlane brings over 40 years of technology experience specializing Smart City in Transportation, Network Security, Cloud Computing, Loyalty programs for Parking, Transit and Tolling industries. He has been involved in over 600 million dollars in Technology investments and was contracted to lead the initiatives of several large public IT companies. He aggressively built three transportation technology companies that established the vanguard for tracking and monitoring vehicle movement. His companies developed and sold integrated control systems for major airports, hospitals, and parking lot management companies. Considered to be an expert in Threat Prevention Automation using Artificial Intelligence architecture with Machine Vision . Recently Mr.Furlane has developed many robotic platforms . Metaverse is the most recent developments Mr. Furlane is starting the build out phase . A former President of the Canadian Parking Association, Mr. Furlane served as Co-Chairman of the first World Symposium on Intelligent Transportation Systems, an international symposium attended by delegates representing 50 countries. In addition Mr. Furlane was a guest contributor at the United Nations congress for Infrastructure. As a result of his successful business experience, his companies' technological innovation, and his international scope, Mr. Furlane is considered to be one of the leaders in this industry. Mr.Furlane also is a serial entrepreneur who invests in and assists start ups to reach roll out and successful execution. Expertise in areas of Cloud Computing, Advanced Learning , Artificial Intelligent and Robotics .Specialities include Human Performance both mentally and physically combining technology with protection and fitness. Mr Furlane served as Chairman to the Neurological Hospitals Centers for Ability, and the Board of Governors of Ontario Junior A Hockey, and has investments in the Entertainment and Sports industries. LocoMobi World Inc. is a Smart City, parking & transportation technology company that manufactures and delivers innovative enterprise hardware, and cloud-based software solutions, including a revolutionary license plate recognition system for some of the biggest names in parking and transportation in North America. Offering a diverse range of products from mobile apps & software solutions, to traditional parking equipment, LocoMobi World accomodates a broad range of environments that include municipalities and garages, commercial and residential buildings, hotels, airports, medical centers, and universities. LocoMobi's unique Smart City development capabilities allow for us to provide your business with diverse and innovative enterprise hardware and cloud-based software offerings. For consumers that are new to the smart city world; we offer several a-la-carte solutions designed to meet or exceed industry standards. From on-street to off-street options, to seamless user experiences, we will combine the formulas to simplify and improve vehicle management & parking for you, now and into the future.

In this conversation, we chat with Steven Goldfeder, Co-founder and Chief Executive Officer at Offchain Labs – the team building Arbitrum. He holds a PhD from Princeton University, where he worked at the intersection of cryptography and cryptocurrencies. Before Offchain, he attended Princeton as a PhD candidate, where his research explored economics, anonymity, and incentive compatibility of cryptocurrencies. More specifically, we geek out on the heydays of early cryptography and the connection to cryptocurrency, zero-knowledge proofs, the fundamental structure of Ethereum and how this birthed Arbitrum, the application of optimistic roll-ups, the existing data storage issues of Layer 1s and how Arbitrum seek to solve them, and so so much more!

On the 65th episode of “That's Nifty” we sat down Marjan Moghaddam, a Fine Art and CG Animator who's love for technology allowed her to become a pioneer of digital art. She also has a storied career across print, sculpture, AR/VR, and 3D Figuration which has netted her several awards in her field. She currently has 3 exhibitions in progress and a new project on the horizon, details inside!Marjan MoghaddamTwitter: @TheMarjanInstagram: @marjan_moghaddam_artistWebsiteTopics:Fine Arts meets Animation, Brain-Linked Interactive Activity, Digital Art Pioneer, Chronometric Sculptures, Tex Avery, Idealism transition to futurism, Creating vs Discovering Techniques, Generative Adversarial Networks, Brother's work with Machine Vision, Introduction to NFTs, Art Hacks, How to Sell Animations?, "Taking a Knee in Solidarity", Difference between Digital Art and Crypto Art, Curation Landscape Shifting, PFP Project on the Horizon, Defi, GAN Trekker - Art Basel, Artsy Women's History Month - Vellum LA Gallery, WOCA Exhibition, Metaverse Fashion Week – Decentraland, Lumicanvas Displays, Censorship on Social Media, Inherent Tendency of Technology, NYC Pandemic TimesMentions:@verticalcrypto @refikanadol @SuperRare @MuseumofCrypto @beeple @proof_art @JesseDamiani @vellumla @josiebellini @worldofwomennft @VitalikButerin @rarible @artsy @blackboxdotart @1stDibsNFT @hellowoca @decentraland @davidcash888