Podcasts about sensors

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We spent time in the Black Forest, where innovation met inspiration at our latest industrial AI gathering. In this episode, we share stories—from empowering autistic talent in data annotation to the technical leaps in foundation models for time series. You'll hear from leading minds like Jakub Tomczak, who flew in from San Francisco to challenge what's possible in generative AI, and explore how the landscape is shifting from traditional machine learning to adaptive, context-rich automation. Join us as we question what makes AI truly intelligent, debate the role of human factors, and look ahead to the next wave of industrial transformation. If you're curious about how AI is evolving in real factories, how new job profiles are emerging, or why continuous learning and time series matter more than ever, this conversation is for you.

Trucks rumble, cones wobble and burgers sizzle—but the real story is how Dublin gets winter-ready long before the first snowflake. We're live from Dublin's SnowGo Roadeo where practice meets performance and friendly competition sharpens the skills to keep roads safe. You'll ride along with veteran staff, hear how new drivers learn to maneuver massive plows through tight turns, and pick up practical tips that make leaf collection smoother for everyone on your street.We talk with the Director of Public Service about snow school, route rehearsals and the rapid transition from a 10-week leaf program to full winter operations using the same vehicles. Our City Manager, Megan O'Callaghan, jumps into the big rig to feel the visibility challenges first-hand and shares how materials, equipment checks, and route familiarity all come together to protect the community. Then we geek out with the City's Data and Analytics Manager to unpack the SnowGo and LeafGo systems: sensors and GPS, automated vehicle location feeds, turn-by-turn route guidance and how prioritizing arterials, collectors and residential streets reduces deadheading while speeding recovery during storms.If you've ever wondered why your block gets plowed when it does, how the City tracks progress in real time, or what you can do to help crews move faster—like keeping leaf piles off the street and away from mailboxes—this conversation lays it all out. Preparation is quiet work, but when the storm hits, the results are loud and clear: safer streets, fewer delays and a community that understands the plan.Enjoy the on-the-road energy, meet the people behind the plows and the data, and see how planning, training, and technology turn winter weather into a manageable mission. And don't forget to follow the show, share it with a neighbor and leave a review to help more residents find these valuable insights

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When the Visualphone VP210 hit the market in 1999, it advertised a never-before-seen feature: a camera. With only 0.11 megapixels and storage for 20 photos, the Visualphone is a relic compared to modern devices sporting three distinct cameras, each with up to 100 times more resolution. But while this technology has improved dramatically in the 21st century, engineers are rapidly approaching a hard limit on phone camera quality.1999年，当Visualphone VP210上市时，它宣传了一项前所未有的功能——摄像头。这个摄像头仅有0.11百万像素，最多能储存20张照片。与当今配备三颗摄像头、分辨率高出上百倍的智能手机相比，Visualphone简直就是古董。然而，尽管这项技术在21世纪突飞猛进，工程师们如今正迅速接近手机相机质量的硬性极限。To understand this limit, we first need to know how phone cameras work. Just like any other digital camera, when your phone takes a picture, light enters through its lens. This lens focuses the light onto an image sensor covered in a grid of photosites— microscopic light sensors roughly 100 times smaller than a grain of sand. There are millions of these sensors, and each one is covered by a red, green, or blue filter, allowing it to measure how much of that color is in the light hitting its location. Then these measurements are simplified, rounding them to less detailed numbers. This stepsacrificessome data, thus lowering the final images' quality, but it's essential for the camera's processor. This computer can only handle so much information as it decrypts the three sets of color data to assemble a digital recreation of the image.要理解这个极限，我们首先得了解手机摄像头的工作原理。和其他数码相机一样，当手机拍照时，光线会通过镜头进入。镜头将光线聚焦到一个图像传感器上，这个传感器表面覆盖着由光敏单元（photosites）组成的网格——这些微型感光元件比一粒沙子小约100倍。这样的感光元件有上百万个，每一个上面都有红、绿或蓝的滤光片，使它能够测量到达该位置的光线中对应颜色的强度。接着，这些测量值会被简化，四舍五入成较粗略的数字。这一步虽然会牺牲部分数据，从而降低最终图像的质量，但却是摄像头处理器运作所必需的。因为这个微型计算机在解读三组颜色数据、重建数字图像的过程中，所能处理的信息量是有限的。While the quality of this final photo depends on every part of the camera, nothing determines the look of a digital picture more than the image sensor. And engineers judge the quality of image sensors based on their performance in three areas. The first is resolution, or level of detail. Sensors with higher numbers of photosites offer better resolution, as the camera can collect more granular light data. Second and third are dynamic range and noise. Dynamic range is the span from light to dark within a single photo, and noise is the graininess that can come from poor lighting, long exposure times, or an overheating camera. Both these factors can be improved by using larger photosites, which can capture more light overall. This wider range of data helps processors better measure the intensity of the incoming light, adding contrast and reducing noise.虽然最终照片的质量取决于相机的每一个部分，但决定数码图像观感的关键因素，莫过于图像传感器。工程师通常从三个方面评估传感器的质量。第一是分辨率，即细节的清晰程度。拥有更多感光元件的传感器能提供更高的分辨率，因为它能收集更细微的光线数据。第二和第三是动态范围与噪点。动态范围指的是一张照片中从最亮到最暗的跨度，而噪点则是由于光线不足、曝光时间过长或摄像头过热而产生的颗粒感。这两者都可以通过使用更大的感光元件来改善，因为更大的感光面积能捕捉到更多光线。更宽的数据范围让处理器能更准确地判断光线强度，从而提升对比度并减少噪点。

Learn how smart sensors enable predictive maintenance, AI-powered manufacturing, and revolutionary ADAR technology that's changing industrial automation and robot safety economics with insights from Endress+Hauser, Rockwell Automation, specialty chemicals company Premix Group, and Sonair.

Farmblox wants to offer the basic building blocks for your farm that could ultimately lead you to more automation and relief from high labor tasks.

You‘d know if you were drowning, right?

This week we finish our talk about that pesky notice check; how we can use equipment to augument it; and animals that are so much better than we are in certain detections

In this unforgettable episode of Sasquatch Odyssey, Levi from Missouri takes us deep into his extraordinary journey—one that bridges Bigfoot encounters with UFO research. With years of experience investigating unexplained aerial phenomena, Levi brings a unique perspective to the world of Sasquatch.His story begins at Weldon Springs near St. Louis, where eerie parallel footsteps, unsettling sounds, and unusual tree structures marked his first brushes with the unknown. From there, Levi's research evolved into a high-tech pursuit, utilizing spectrum analyzers, seismic sensors, and advanced camera systems to document activity that defies easy explanation.Levi shares gripping accounts of mysterious voices in the darkness, strange lights in the woods, and overwhelming moments of fear during expeditions. His integration of UFO research methods with Bigfoot investigations reveals surprising connections and adds a compelling dimension to the mysteries of both. And this is just the beginning. This episode is Part One of Two—so stay tuned for next Friday's Round Two, where we dive into even stranger experiences, including Levi's explanation of the mysterious “telephone machine” he refers to throughout our conversation.Get Our FREE NewsletterGet Brian's Books Leave Us A VoicemailVisit Our WebsiteSupport Our SponsorsEpisode Breakdown:00:00 – Introduction and Guest Welcome00:10 – Levi's Journey into Bigfoot Research01:07 – First Encounter at Weldon Springs03:05 – Escalating Experiences and Discoveries06:39 – First Expedition and Unexplained Phenomena16:04 – Second Night: Intense Activity and Light Encounter32:22 – Analyzing Electronic Readings and Infrasound36:31 – Uranium Manufacturing and Radio Tweaks38:11 – Seismic Sensors and Bigfoot Detection40:22 – High-Tech Game Camera Innovations41:52 – Challenges and Successes in Bigfoot Research44:44 – Expedition Experiences and Anomalies48:49 – Unexplained Phenomena and Encounters01:03:26 – Strange Findings and Government Interference01:12:26 – Concluding Thoughts and Future ResearchBecome a supporter of this podcast: https://www.spreaker.com/podcast/sasquatch-odyssey--4839697/support.

In this short but vital extract from the Aillio Bullet Masterclass, we deep dive into the technology that makes the Bullet roaster one of the most precise home/prosumer machines available: its innovative sensors!Understanding these sensors is key to unlocking consistent, professional-grade roast profiles.We break down the three main sensors, explaining exactly what they measure and how to use them for more consistent results:1. Bean Temperature (BT) ProbeThe classic probe, measuring temperature *in between* the beans. Useful for comparing against traditional roasters.2. Infrared Bean Temperature Sensor (IBTS)This game-changer measures the surface temperature of the bean (or the drum during pre-heat) for ultra-fast, precise, and volume-independent readings. Learn why the IBTS is the sensor you should be relying on.3. Pressure Sensor (FlowSense)Available on the R2 and R2 Pro models, FlowSense ensures a perfectly steady airflow by automatically compensating for chaff buildup. This makes your roast profiles more repeatable and reliable than ever.------------------------------------------------------MASTER THE AILLIO BULLETWant to master every function, technical detail, and maintenance step of your Aillio Bullet? Check out the full, 4.5-hour Aillio Bullet Masterclass here4.5 HOUR MASTERCLASS FOR FREEIf you get an Aillio Bullet coffee roaster from Roast Rebels, you will get a free access to the Aillio Bullet masterclass: https://roastrebels.com/en/aillio-bullet-r2-pro/

What if senior living operators could predict health risks before they turn into hospitalizations? What if caregivers had real-time insights—without relying on cameras, push buttons, or wearables residents don't want to use?   On this episode of Foresight Radio (Tech Tuesday edition), host Steve Moran sits down with Stuart Hamilton, Founder & CEO of Amba, to explore how passive sensors and AI are creating a new standard for senior living care.   Stuart shares the journey of building Amba after moving his own father into a community and realizing the technology gap. Today, Amba's platform helps operators in the U.S., Canada, and the U.K. reduce falls, detect infections earlier, and give caregivers back valuable time—while protecting resident dignity and privacy.   Top Takeaways Why “no cameras, no buttons” matters: Passive sensors track health, sleep, and activity in the background. Real outcomes: Communities using Amba report 50–60% fewer nighttime falls and 30% fewer hospitalizations. Caregiver empowerment: Alerts are simple, customizable, and reduce low-value tasks—so staff can focus on meaningful interactions. AI in action: From natural language EHR summaries to voice-activated dashboards, AI is making care easier, not harder. Medicare reimbursement opportunity: Learn how communities can offset costs through physician partnerships and clinical monitoring codes. If you're a senior living operator, innovator, or tech partner, this episode will change how you think about the role of technology in aging services.

My guest is Dr. Poppy Crum, PhD, adjunct professor at Stanford, former Chief Scientist at Dolby Laboratories and expert in neuroplasticity—our brain's ability to change in response to experience. She explains how you can learn faster and ways to leverage your smartphone, AI and even video games to do so. We also discuss “digital twins” and the future of health technology. This episode will change the way you think about and use technology and will teach you zero-cost protocols to vastly improve your learning, health and even your home environment. Read the episode show notes at hubermanlab.com. Thank you to our sponsors AGZ by AG1: https://drinkagz.com/huberman David: https://davidprotein.com/huberman Helix: https://helixsleep.com/huberman Rorra: https://rorra.com/huberman Function: https://functionhealth.com/huberman Timestamps (0:00) Poppy Crum (2:22) Neuroplasticity & Limits; Homunculus (8:06) Technology; Environment & Hearing Thresholds; Absolute Pitch (13:12) Sponsors: David & Helix Sleep (15:33) Texting, Homunculus, Mapping & Brain; Smartphones (23:06) Technology, Data Compression, Communication, Smartphones & Acronyms (30:32) Sensory Data & Bayesian Priors; Video Games & Closed Loop Training (40:51) Improve Swim Stroke, Analytics & Enhancing Performance, Digital Twin (46:17) Sponsors: AGZ by AG1 & Rorra (49:08) Digital Twin; Tool: Learning, AI & Self-Testing (53:00) AI: Increase Efficacy or Replace Task?, AI & Germane Cognitive Load (1:02:07) Bread, Process & Appreciation; AI to Optimize Physical Environments (1:09:43) Awake States & AI; Measure & Modify (1:16:37) Wearables, Sensors & Measure Internal State; Pupil Size (Pupillometry) (1:23:58) Sponsor: Function (1:25:46) Integrative Systems, Body & Environment; Cognitive State & Decision-Making (1:32:11) Gamification, Developing Good Habits (1:38:17) Implications of AI, Diminishing Cognitive Skill (1:41:11) Digital Twins & Examples, Digital Representative; Feedback Loops (1:50:59) Customize AI; Situational Intelligence, Blind Spots, Work & Health, “Hearables” (2:01:08) Career Journey, Perception & Technology; Violin, Absolute Pitch (2:09:44) Incentives & Neuroplasticity; Technology & Performance (2:13:59) Acoustic Arms Race: Moths, Bats & Echolocation (2:21:17) Singing to Spiders, Spider Web & Environment Detection; Crickets; Marmosets (2:31:44) Acknowledgements (2:33:18) Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Disclaimer & Disclosures Learn more about your ad choices. Visit megaphone.fm/adchoices

This week we talk about that pesky notice check; how we can use equipment to augument it; and animals that are so much better than we are in certain detections

Germany plans to invest €35 billion in space-related defense projects by 2030. NASA and Sierra Space have mutually agreed to modify the Dream Chaser's contract for resupply missions to the International Space Station (ISS). SpaceX has filed with the Federal Communications Commission asking to launch 15,000 new satellites for direct-to-device service, and more. Remember to leave us a 5-star rating and review in your favorite podcast app. Be sure to follow T-Minus on LinkedIn and Instagram. T-Minus Guest NASASpaceflight.com⁠ brings us the Space Traffic Report. Selected Reading Germany unveils $40bn military-space investment, citing new threats NASA, Sierra Space Modify Commercial Resupply Services Contract SpaceX Seeks Approval for 15,000 Satellites to Use MSS Spectrum Space Forge Inc. and United Semiconductors LLC Partner to Develop the Supply Chain for Space-Grown Semiconductor Materials for Quantum Computing, Power Electronics, Sensors, and Display Markets Suite Ride Research Unlocks Potential for First Astronaut with Diabetes Shenzhou-20 crew completes fourth round of extravehicular activities - CGTN NASA-ISRO Satellite Sends First Radar Images of Earth's Surface NASA Awards Atmosphere Research Support Contract NASA Flights Study Cosmic Ray Effects for Air, Future Space Travelers Share your feedback. What do you think about T-Minus Space Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show.  Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode we spoke with Mike Rohrmoser, VP of Product Management for OEM Solutions at Digi, a global provider of mission-critical IoT connectivity products and services. We explored how manufacturers are addressing labor shortages with IoT and automation, the trade-offs between retrofitting existing factories and building new ones, the evolving sensor and connectivity landscape, and practical steps to scale IoT pilots into production. Key insights: • Retrofitting existing plants is often the smarter move. Brownfield upgrades can cost 40–60% less than new builds and achieve faster returns when paired with business-focused use cases and retrofit connectivity. • Sensors and networks must be judged as a whole system. Industrial buyers weigh accuracy, deployment simplicity, and lifetime cost over unit price, with wireless IO-Link and LTE Cat 1 gaining traction and 5G RedCap on the horizon. • Edge AI is real, but focused. Today it is most effective in computer vision for quality inspection and counting, while new designs anticipate broader workloads as adoption matures. • GenAI augments people, not machines. Its strengths are in analysis, documentation, and device management, while safety-critical real-time control remains firmly in the domain of conventional automation. • Scaling pilots requires proving value early. Many initiatives stall when they start with technology instead of problems; success depends on production-ready components, operator trust, and leadership alignment. IoT ONE database: https://www.iotone.com/case-studies The Industrial IoT Spotlight podcast is produced by Asia Growth Partners (AGP): https://asiagrowthpartners.com/

Managing Director of Innovation DuPage Dan Facchini joins Jon Hansen on Your Money Matters to discuss how their programs are helping businesses and organizations grow. Dan discusses their new Clean Energy Incubator Program and how individuals can get involved.Jake Mickley of Hanford Tech also joins them to share how Innovation DuPage has helped his business and how […]

This week we talk about that pesky notice check; how we can use equipment to augument it; and animals that are so much better than we are in certain detections

Show Notes:Story 1: Map of 600,000 brain cells rewrites the textbook on how the brain makes decisionsSource: LiveScience.comLink: https://www.livescience.com/health/neuroscience/map-of-600-000-brain-cells-rewrites-the-textbook-on-how-the-brain-makes-decisionsStory 2: Super solar cells withstand 10,000 bends, retain over 85% output after 2,800 hoursSource: InterestingEngineering.com via MSNLink: https://www.msn.com/en-us/technology/renewable-energy/super-solar-cells-withstand-10-000-bends-retain-over-85-output-after-2-800-hours/ar-AA1JEC2zStory 3: Soft skin, sharp senses: New robotic 'touch' sees danger before it hitsSource: TechExplore.comLink: https://techxplore.com/news/2025-08-soft-skin-sharp-robotic-danger.htmlResearch Paper: https://ieeexplore.ieee.org/document/11097357Story 4: Soft wearable robot jacket responds to movements, supports upper-limb impairmentsSource: InterestingEngineering.comLink: https://interestingengineering.com/innovation/us-engineers-robot-worn-like-jacketsResearch Paper: https://www.nature.com/articles/s41467-025-62538-8Video: https://www.youtube.com/watch?v=dFHTyUrAaz0&t=12sHonorable Mentions:Story: Some People Are Immune to All Viruses. Scientists Now Want to Replicate This Ability for a Universal AntiviralSource: ZME ScienceLink: https://www.zmescience.com/medicine/universal-antiviral/Story: Generative AI designs compounds that can kill drug-resistant bacteriaSource: Phys.orgLink: https://phys.org/news/2025-08-generative-ai-compounds-drug-resistant.htmlResearch Paper: https://www.cell.com/cell/abstract/S0092-8674(25)00855-4Story: This New Indoor Solar Cell Could Power the Entire Internet of Things Using Only the Light from Your CeilingSource: ZME ScienceLink: https://www.zmescience.com/science/news-science/this-new-indoor-solar-cell-could-power-the-entire-internet-of-things-using-only-the-light-from-your-ceiling/Story: Researchers Explore ‘Biomining' Seaweed for Critical MineralsSource: Pacific Northwest National LaboratoryLink: https://www.pnnl.gov/news-media/researchers-explore-biomining-seaweed-critical-minerals

My guest is Michael Snyder, PhD, professor of genetics at Stanford and an expert in understanding why people respond differently to various foods, supplements, behavioral and prescription interventions. We discuss how to optimize your health and lifespan according to what type of glucose responder you are, which genes you express, your lifestyle and other factors. Dr. Snyder also explains the key ages when you need to be particularly mindful about following certain health practices. We also discuss how people respond in opposite ways to different fiber types. This episode ought to be of interest and use to anyone seeking to understand their unique biological needs and how to go about meeting those needs. Sponsors AGZ by AG1: https://drinkag1.com/huberman Wealthfront*: https://wealthfront.com/huberman David: https://davidprotein.com/huberman Eight Sleep: https://eightsleep.com/huberman Function: https://functionhealth.com/huberman *This experience may not be representative of the experience of other clients of Wealthfront, and there is no guarantee that all clients will have similar experiences. Cash Account is offered by Wealthfront Brokerage LLC, Member FINRA/SIPC. The Annual Percentage Yield (“APY”) on cash deposits as of December 27,‬ 2024, is representative, subject to change, and requires no minimum. Funds in the Cash Account are swept to partner banks where they earn the variable‭ APY. Promo terms and FDIC coverage conditions apply. Same-day withdrawal or instant payment transfers may be limited by destination institutions, daily transaction caps, and by participating entities such as Wells Fargo, the RTP® Network, and FedNow® Service. New Cash Account deposits are subject to a 2-4 day holding period before becoming available for transfer. Timestamps 00:00 Michael Snyder 03:33 Healthy Glucose Range, Continuous Glucose Monitors CGM, Hemoglobin A1c 09:02 Individual Variability & Food Choice, Glucose Spikes & Sleepiness 12:18 Sponsors: AGZ by AG1 & Wealthfront 15:16 Glucose Spikes, Tools: Post-Meal Brisk Walk; Soleus “Push-Ups”; Exercise Snacks 21:06 Glucose Dysregulation, Diabetes & Sub-Phenotypes, Tool: Larger Morning Meal 28:34 Exercise Timing, Muscle Insulin Resistance 30:49 Diabetes Subtyping, Weight, Glucose Control; Incretins 35:41 GLP-1 Agonists, Diabetes, Tool: Muscle Maintenance & Resistance Training 38:40 Metformin, Berberine, Headaches 41:01 GLP-1 Agonists, Cognition, Longevity, Tool: Habits Support Medication; Cycling 47:41 Subcutaneous vs Visceral Fat, Organ Stress 49:10 Sponsors: David & Eight Sleep 51:58 Meal Timing & Sleep, Tools: Post-Dinner Walk, Routines, Bedtime Consistency 57:16 Microbiome, Immune System & Gut; Diet & Individual Variability 1:02:52 Fiber Types, Cholesterol & Glucose, Polyphenols 1:09:50 Food As Medicine; Fiber, Microbiome & Individual Variability; Probiotics 1:18:48 Sponsor: Function 1:20:35 Profiling Healthy Individuals, Genomes, Wearables 1:26:31 Whole-Body MRIs, Nodules, Healthy Baseline, Early Diagnosis 1:34:07 Sensors, CGM, Sleep, Heart Rate Variability HRV, Tools: Mindset Effects, Increase REM 1:39:30 HRV, Sleep, Exercise, Tool: Long Exhales; Next-Day Excitement & Sleep 1:42:48 Organ Aging, “Ageotypes”; Biological Age vs Chronological Age 1:49:41 Longevity, Health Span, Genetics, Blue Zones 1:52:19 Epigenetics, Viral Infection & Disease 1:58:54 ALS, Heritability; Neuroprotection, Nicotine 2:03:47 Air Quality, Allergies, DEET & Pesticides, Inflammation, Mold; Microplastics 2:15:02 Single-Drop Blood Test & Biomarkers, Wearables, Observational Trials 2:20:33 Acupuncture, Blood Pressure 2:26:40 Immersive Events & Mental Health Benefits 2:34:59 Data, Nutrition & Lifestyle; Siloed Health Care vs Personalized Medicine 2:43:06 Zero-Cost Support, YouTube, Spotify & Apple Follow & Reviews, Sponsors, YouTube Feedback, Social Media, Neural Network Newsletter Learn more about your ad choices. Visit megaphone.fm/adchoices

Multi-Function Aperture Sensors take center stage in this week's podcast! My guests are Jake Braegelmann and Ryan Jansen from New Wave Design. Jake, Ryan and I explore the benefits, challenges, and future of multi-function aperture sensors and what we should expect for the next generation of multi-function aperture architecture. Also this week, I check out how a group of scientists from the University of Bremen have cracked the code on how our brainwaves filter the noise of every day life.

Interview: Dr Eric Topol (Part 1)We're joined by Dr Eric Topol—cardiologist, scientist, author, and global digital health leader. In part one, Eric shares his journey from clinician to digital health pioneer, his vision for “SuperAgers,” and why genomics and personalised medicine could redefine how long—and how well—we liveChatbots for PatientsWe discuss the Wall Street Journal's bold claim that chatbots could become part of the medical team. From spotting errors to translating lab results and reminding patients about medications, can they really serve as low-risk, always-on companion? Questions remain around accuracy, empathy, and whether they truly add value or just more noise.The Human Side of InteroperabilityInspired by Amy Gleason's LA Times op-ed, we look at the personal impact of fragmented health systems. Her daughter's care journey shows how disconnected records hinder outcomes—and how AI uncovered a hidden opportunity. Should we lean into more personal stories to communicate to a wider audience?Meta & Who Owns Your Health Data?A San Francisco jury found Meta guilty of illegally harvesting data from millions of Flo app users—menstrual cycles, ovulation, even pregnancy intentions. The ruling highlights urgent questions: Who really owns health data, and what rights do patients have when tech giants treat it like ad fuel?Patient Consent in the Age of AIConsent forms are broken—static, outdated, and unfit for the AI era. We unpack Y. Tony Yang's American Journal of Bioethics piece arguing for “dynamic consent,” accountability frameworks, and real patient understanding. Without rethinking consent, healthcare risks losing trust as AI tools grow more influentialBlack Box for Aged CareWhat if aged care had a “black box,” like aviation? Sensors, AI, and monitoring systems could flag risks before crises hit. A Pulse+IT blog argues for shifting from reactive to proactive care, but business models and adoption lag behind. We debate whether the sector can finally move from inquiry to preventionResources:Louise's LinkedIn poll on gen AI use for health research LinkDr Eric Topol's book SuperAgers LinkY. Tony Yang's American Journal of Bioethics Article on Patient Consent LinkAged Care's Black Box in Pulse+IT LinkAmy Gleason's parental perspective on the need for health data interoperability LinkVisit Pulse+IT.news to subscribe to breaking digital news, weekly newsletters and a rich treasure trove of archival material. People in the know, get their news from Pulse+IT – Your leading voice in digital health news.

This week on Mr. Beacon, we welcome back Giampaolo Marino of Energous to discuss the company's new battery-free Bluetooth sensor and software platform, e-Compass. We'll explore how ambient IoT is transforming cold chain, logistics, and asset tracking by reducing waste and cutting costs. From energy harvesting breakthroughs to defining what ambient IoT really means, this episode dives deep into the future of always-on visibility and the business opportunities it unlocks.Mister Beacon is hosted by Steve Statler, CEO of AmbAI Inc. — creators of AmbientGPT, the AI agent that connects people to products and the brands behind them. AmbAI also advises leading brands on Ambient Intelligence strategy.Our sponsor is Identiv https://www.identiv.com, whose IoT solutions create digital identities for physical objects, enhancing global connectivity for businesses, people, and the planet. We are also sponsored by Blecon http://www.blecon.net. Blecon enables physical products to communicate with cloud applications using Bluetooth Low Energy. Hosted on Acast. See acast.com/privacy for more information.

Today, we are introducing our latest advancement in inductive sensor technology: a new generation of IO-Link-enabled sensors featuring extended functionality and diagnostics, along with the next iteration of our tried-and-tested analog inductive sensors. See omnystudio.com/listener for privacy information.

IoT isn't a buzzword anymore. It's business. Wienke Giezeman built The Things Industries from scratch. Now he's managing 3 million connected devices globally. $4M in annual revenue. And he did it by breaking every Silicon Valley rule. No "winner takes all" mentality. Pure collaboration. This episode cuts through the IoT hype cycle. Wienke reveals why most IoT projects failed. How his company survived when others didn't. And why sharing your IP actually grows the market. Real talk on scaling hardware. Building communities. Making AI work with IoT data. From cattle tracking to vape detection in school bathrooms. From forest fire sensors to toilet paper dispensers. The use cases that actually make money. Plus: Why the next wave of IoT growth is coming. And how startups can avoid the graveyard. Timestamps: 00:00 Introduction and Guest Welcome 00:13 Wienke Giezeman's Background and Company Overview 00:52 Early Days and Inspiration 01:34 Building a Global Network 02:08 Community and Collaboration 06:31 The Things Conference 09:22 Trends in IoT and AI Integration 15:12 Future Prospects and Reflections 25:10 Advice for IoT Startups 27:35 Conclusion and Final Thoughts Hit subscribe for more unfiltered tech insights. Rate us 5 stars if this episode delivered value. Connect with Wienke: https://www.linkedin.com/in/wienke/ The Things Network: https://www.thethingsnetwork.org/ The Things Industries: https://www.thethingsindustries.com/ The Things Conference: https://www.thethingsconference.com/ 23-24 September 2025, Amsterdam

This week we got a request on the forums (https://forums.adafruit.com/viewtopic.php?t=219635) for a way to read PT100/PT1000 RTD sensors over I2C. To be honest, we only really stock the MAX31865 (https://www.digikey.com/en/products/detail/analog-devices-inc-maxim-integrated/MAX31865ATP/3681476) which is SPI only. Let's find a chip that could do RTD reads over I2C: that would require 24-bit precision, but not necessarily high speed! Also ideally it could do differential reads. See the chosen part on DigiKey https://www.digikey.com/short/q7z2575h #circuitpython #sensorhacks #thegreatsearch

Note: This podcast interview was recorded before the CFS10 shake table tests, which took place in June and July of 2025.In this episode, earthquake engineers Tara Hutchinson, of UC San Diego, and Ben Schafer, of Johns Hopkins University, explain how they collect data from the CFS10 shake table tests. 750 sensors monitor the 10-story steel-framed structure as it is subjected to simulated earthquakes; sensors range from accelerometers to drones filming video. Partners in CFS10 instrumentation include the California Strong Motion Instrumentation program and CalTech, who installed valuable sensor systems on the structure. Hutchinson and Schafer discuss data from non-structural components, vital for understanding building re-occupation, and they cover important nuances – such as data from prior component testing, including hybrid simulations – which are necessary precursors to large-scale shake table testing – which validate earlier findings.Expect to hear initial findings from CFS10 testing in September 2025, when Hutchinson and Schafer will be presenting papers. Data from the CFS10 tests will be publicly available on the NHERI DesignSafe Data Depot within a year. Although it can take years for engineering research to be adopted into official building codes, Hutchinson and Schafer explain that engineers in the earthquake-prone state of California are quicker to adopt peer reviewed findings. 

Value: After Hours is a podcast about value investing, Fintwit, and all things finance and investment by investors Tobias Carlisle, and Jake Taylor. See our latest episodes at https://acquirersmultiple.com/podcastWe are live every Tuesday at 1.30pm E / 10.30am P.About Jake Jake's Twitter: https://twitter.com/farnamjake1Jake's book: The Rebel Allocator https://amzn.to/2sgip3lABOUT THE PODCASTHi, I'm Tobias Carlisle. I launched The Acquirers Podcast to discuss the process of finding undervalued stocks, deep value investing, hedge funds, activism, buyouts, and special situations.We uncover the tactics and strategies for finding good investments, managing risk, dealing with bad luck, and maximizing success.SEE LATEST EPISODEShttps://acquirersmultiple.com/podcast/SEE OUR FREE DEEP VALUE STOCK SCREENER https://acquirersmultiple.com/screener/FOLLOW TOBIASWebsite: https://acquirersmultiple.com/Firm: https://acquirersfunds.com/ Twitter: ttps://twitter.com/GreenbackdLinkedIn: https://www.linkedin.com/in/tobycarlisleFacebook: https://www.facebook.com/tobiascarlisleInstagram: https://www.instagram.com/tobias_carlisleABOUT TOBIAS CARLISLETobias Carlisle is the founder of The Acquirer's Multiple®, and Acquirers Funds®. He is best known as the author of the #1 new release in Amazon's Business and Finance The Acquirer's Multiple: How the Billionaire Contrarians of Deep Value Beat the Market, the Amazon best-sellers Deep Value: Why Activists Investors and Other Contrarians Battle for Control of Losing Corporations (2014) (https://amzn.to/2VwvAGF), Quantitative Value: A Practitioner's Guide to Automating Intelligent Investment and Eliminating Behavioral Errors (2012) (https://amzn.to/2SDDxrN), and Concentrated Investing: Strategies of the World's Greatest Concentrated Value Investors (2016) (https://amzn.to/2SEEjVn). He has extensive experience in investment management, business valuation, public company corporate governance, and corporate law.Prior to founding the forerunner to Acquirers Funds in 2010, Tobias was an analyst at an activist hedge fund, general counsel of a company listed on the Australian Stock Exchange, and a corporate advisory lawyer. As a lawyer specializing in mergers and acquisitions he has advised on transactions across a variety of industries in the United States, the United Kingdom, China, Australia, Singapore, Bermuda, Papua New Guinea, New Zealand, and Guam. He is a graduate of the University of Queensland in Australia with degrees in Law (2001) and Business (Management) (1999).

New air sensors around Pajaro Valley and Castroville will help alert schools and community members to harmful air quality. And, Santa Cruz city high schools have a new cell phone policy. Also, Gioia Cheese Co. burrata gets recalled.

US President announces 100% tariff on foreign semiconductors, cyberattack on the U.S. federal court system ompromises sensitive legal records, The Browser Company intros $20/month Pro subscription. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible. If you enjoy whatContinue reading "Samsung To Produce Sensors For Phone 18 In Austin – DTH"

Project lead, Professor Aaron B. Carlisle, a marine ecologist at the University of Delaware, joins us to explain why sharks are being used to deliver important weather data from the ocean.The Scottish & Southern Electricity Network have described Storm Floris as "the most damaging summer storm in recent memory".Skyrora has the go-ahead to launch a vertical take-off of their 11m tall Skylark L rocket.Plus, the fraud prevention service Cifas has highlighted a “worrying trend” of people selling their own identities, and AI is "supercharging" the threat.Also in this episode:-More people in England are attending GP appointments remotely-Elon Musk is toying with Vine fans again-Marine Conservation urge people to keep beaches clean this summer-Dolly Parton receives an Icon Guinness World Record certificate Hosted on Acast. See acast.com/privacy for more information.

“IAQ is no longer just a maintenance issue—it's a strategic lever for improving patient outcomes and financial performance in healthcare.” “Saving a single dollar in energy for a hospital is like generating twenty dollars in patient revenue.” “The big message: it's not as big a lift as it used to be. Smart IAQ solutions are now turnkey and data-driven.” In this episode of the Building HVAC Science Podcast, host Bill Spohn is joined by Renée Jacobs, a seasoned expert in healthcare construction and building automation. Renée shares her career journey from hands-on construction to leading the healthcare vertical at Distech Controls. Her passion for improving patient outcomes through smarter building systems shines as she explains how indoor air quality (IAQ) has become a pivotal factor in modern healthcare environments. Renée draws a compelling analogy between early skepticism of handwashing and today's evolving recognition of IAQ's role in patient health. She highlights how advanced sensors and smart building automation are transforming reactive facility management into a proactive, data-driven practice. One standout example she discusses is a hospital system that drastically improved both IAQ and energy management through Distech's Atrius platform, earning them a Better Buildings Award from the Department of Energy. The conversation also dives into key industry standards like ASHRAE 170, the hidden costs of inaction, and the importance of leveraging AI and IoT in HVAC systems to enhance both care and cost-efficiency. Renée wraps up by emphasizing that implementing smart IAQ solutions is no longer a daunting task—it's a strategic investment that is more accessible and turnkey than ever before. Renee's LinkedIn: https://www.linkedin.com/in/renee-r-jacobs/ Distech website: https://www.distech-controls.com/ ASHRAE Standard 170: https://www.ashrae.org/technical-resources/standards-and-guidelines/standards-addenda/ansi-ashrae-ashe-standard-170-2017-ventilation-of-health-care-facilities Episode 48: With Stephanie Taylor https://www.buildinghvacscience.com/ep48-buildings-health-an-interview-with-dr-stephanie-taylor/ This episode was recorded in July 2025.

Episode 183 with Brian Bosire, CEO and Co-Founder of UjuziKilimo, a leading agri-tech company empowering Africa's smallholder farmers through data science, IoT, and predictive analytics.Brian Bosire is on a mission to digitise Africa's agricultural value chains by putting powerful, real-time insights in the hands of smallholder farmers. In this episode, he shares the story behind UjuziKilimo, which is Swahili for “knowledge farming,” and how the company is using cutting-edge technologies like the SoilPal IoT sensor and the FarmSuite analytics platform to transform decision-making on millions of farms across the continent.Brian unpacks the innovation behind UjuziKilimo's tools, which deliver field-specific data on soil health, fertiliser recommendations, and crop suitability within minutes. He explains how data-driven agronomy can increase yields, unlock financing and insurance, and build resilience in the face of climate change.What We Discuss With BrianThe personal journey from growing up in a small farming village in Kisii, Kenya, to founding a company that empowers thousands of smallholder farmers through technology.How UjuziKilimo is replacing guesswork with data-driven decision-making through innovations like the SoilPal IoT device and FarmSuite analytics platform.The real-world impact of providing instant, field-specific agronomic recommendations on crop performance, soil health, and input usage.The business model and scaling challenges of reaching over 26,000 farmers, and the ambition to impact millions more.The role of machine learning and predictive analytics in enabling smarter, faster, and more localized farming practices.Verto CornerIn this week's Verto Corner, Conor O'Kane, Compliance Operations Manager at Verto, tackles one of the most important challenges for businesses operating across African markets: getting compliance right without slowing growth. As cross-border trade increases, so do regulatory expectations, and companies that don't keep up risk delays, penalties, or missed opportunities. Conor explains the key compliance hurdles businesses face when transacting in and out of emerging markets and offers clear, actionable advice on how to stay compliant while still moving quickly.Did you miss my previous episode where I discus A Billion-Tonne Vision: The Company Using Rocks to Remove Carbon and Boost African Agriculture? Make sure to check it out!Connect with Terser:LinkedIn - Terser AdamuInstagram - unlockingafricaTwitter (X) - @TerserAdamuConnect with Brian:LinkedIn - Brian BosireTwitter - @BosireOnyiDo you want to do business in Africa? Explore the vast business opportunities in African markets and increase your success with ETK Group. Connect with us at www.etkgroup.co.uk or reach out via email at info@etkgroup.co.uk

Bot Bonds & Binary Brides: The Allure of AI Affection.  Cultured Curds: The Coming Clash of Casein Creations.  Steering Shift: Lexus Leads the Leap to Lever-Less Driving.  Scalpel, Sensors, Success: Surgical Systems Step Up.  Sun Safety Simplified: Sun Day Sparks Skin-Smart Solutions.  Hyper-HDMI: The High-Speed Home Theatre Hype.  Pill Power: Profiling Physiology with Precision Pills.  Perverse Profits: The Proliferation of AI-Powered Nudify Networks.  Polymer Power: Pioneering Progress in Post-Lithium Batteries. 

Crazy Wisdom: Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- On this episode of Crazy Wisdom, Stewart Alsop speaks with Rory Aronson, CEO of FarmBot, about how his open-source hardware project is transforming home gardening into a more automated and accessible practice. Rory explains how FarmBot works—essentially as a CNC machine for your garden—covering its evolution from Arduino-based electronics to custom boards, the challenges of integrating hardware and software, and the role of closed-loop feedback systems to prevent errors. They explore solarpunk visions of distributed food systems, discuss the importance of “useful source” documentation in open-source hardware, and imagine a future where growing food is as easy as running a dishwasher. For more on Rory and FarmBot, check out farm.bot and the open-source resources at docs.farm.bot.Check out this GPT we trained on the conversationTimestamps00:00 Rory explains FarmBot as a CNC machine for gardens, using Arduino and Raspberry Pi, automating planting, watering, and weeding.05:00 Discussion on the hardware stack evolution, open-source electronics roots, and moving to custom boards for better integration.10:00 Stewart shares his Raspberry Pi experiments, Rory breaks down the software layers from cloud apps to firmware, emphasizing complexity.15:00 Conversation shifts to closed-loop feedback with rotary encoders, avoiding 3D printer-style “spaghetti” errors in outdoor environments.20:00 Rory explores open-source challenges, highlighting “useful source” documentation and hardware accessibility for modifications.25:00 Solarpunk vision emerges: distributed food systems, automation enabling home-grown fresh food without expert knowledge.30:00 Raised bed setup, energy efficiency, and FarmBot as a home appliance concept for urban and suburban gardens.35:00 Small-scale versus industrial farming, niche commercial uses like seedling automation, and user creativity with custom tools.40:00 AI potential with vision systems, LLMs for garden planning, and enhancing FarmBot intelligence for real-time adaptation.45:00 Sensors, soil monitoring, image analysis for plant health, and empowering users to integrate FarmBot into smart homes.50:00 Rory describes community innovations, auxiliary hardware, and open documentation supporting experimentation.55:00 Final reflections on solarpunk futures, automation as empowerment, and how to access FarmBot's resources online.Key InsightsRory Aronson shares how FarmBot began as a DIY project built on Arduino and Raspberry Pi, leveraging the open-source 3D printing ecosystem to prototype quickly. Over time, they transitioned to custom circuit boards to meet the specific demands of automating gardening tasks like seed planting, watering, and weeding, highlighting the tradeoffs between speed to market and long-term hardware optimization.The conversation unpacks the complexity of FarmBot's “stack,” which integrates cloud-based software, a web app, a message broker, a Raspberry Pi running a custom OS, and firmware on both Arduino and auxiliary chips for real-time feedback. This layered approach is crucial for precision in an unpredictable outdoor environment where mechanical errors could damage growing plants.Aronson emphasizes that being open source isn't enough; to be genuinely useful, projects must provide extensive, accessible documentation and export files in open, affordable formats. Without this, open source risks being a hollow promise for most users, especially in hardware where barriers to modification are higher.They explore the solarpunk potential of FarmBot, imagining a future where growing food at home is as effortless as using a washing machine. By turning gardening into an automated process, FarmBot enables people to produce fresh vegetables without needing expertise, offering resilience against industrial food systems reliant on monoculture and long supply chains.Aronson points out that while FarmBot isn't designed for industrial agriculture, its modularity allows it to support niche commercial use cases, like automating seedling production in cleanroom environments. This adaptability reflects the broader vision of empowering both individuals and small operations with accessible automation tools.The episode highlights user creativity enabled by FarmBot's open hardware, including custom tools like side-mounted mirrors for alternative camera angles and pneumatic grippers for harvesting. These community-driven innovations showcase the platform's flexibility and the value of encouraging experimentation.Finally, Aronson sees great potential for integrating AI, particularly vision systems and multimodal LLMs, to make FarmBot smarter—detecting pests, diagnosing plant health, and even planning gardens tailored to user goals like nutrient needs or event timelines, moving closer to a truly intelligent gardening companion.

Crazy Wisdom Key Takeaways  FarmBot is a robotic farmer for your garden, designed to take care of your garden by performing functions such as planting seeds, watering, weeding, and monitoringSimply being open source is not enough. For a project to be genuinely useful, it must also have extensive, clear documentation and use open, affordable file formatsToday, the vast majority of food that people eat is grown very far away and in ways that is not great for the food or environment We have very little control over the food production system, which is vital to our existence  Let us get back to the smaller scale, more diverse polycrop system of food production; many follow-on benefits will result Building a resilient alternative to industrial food systems (which often rely on single-crop farming) reduces single points of failure along vulnerable supply chains The more that we can distribute the food system and bring it closer to the end-eater, the more robust our overall food system becomes Read the full notes @ podcastnotes.orgOn this episode of Crazy Wisdom, Stewart Alsop speaks with Rory Aronson, CEO of FarmBot, about how his open-source hardware project is transforming home gardening into a more automated and accessible practice. Rory explains how FarmBot works—essentially as a CNC machine for your garden—covering its evolution from Arduino-based electronics to custom boards, the challenges of integrating hardware and software, and the role of closed-loop feedback systems to prevent errors. They explore solarpunk visions of distributed food systems, discuss the importance of “useful source” documentation in open-source hardware, and imagine a future where growing food is as easy as running a dishwasher. For more on Rory and FarmBot, check out farm.bot and the open-source resources at docs.farm.bot.Check out this GPT we trained on the conversationTimestamps00:00 Rory explains FarmBot as a CNC machine for gardens, using Arduino and Raspberry Pi, automating planting, watering, and weeding.05:00 Discussion on the hardware stack evolution, open-source electronics roots, and moving to custom boards for better integration.10:00 Stewart shares his Raspberry Pi experiments, Rory breaks down the software layers from cloud apps to firmware, emphasizing complexity.15:00 Conversation shifts to closed-loop feedback with rotary encoders, avoiding 3D printer-style “spaghetti” errors in outdoor environments.20:00 Rory explores open-source challenges, highlighting “useful source” documentation and hardware accessibility for modifications.25:00 Solarpunk vision emerges: distributed food systems, automation enabling home-grown fresh food without expert knowledge.30:00 Raised bed setup, energy efficiency, and FarmBot as a home appliance concept for urban and suburban gardens.35:00 Small-scale versus industrial farming, niche commercial uses like seedling automation, and user creativity with custom tools.40:00 AI potential with vision systems, LLMs for garden planning, and enhancing FarmBot intelligence for real-time adaptation.45:00 Sensors, soil monitoring, image analysis for plant health, and empowering users to integrate FarmBot into smart homes.50:00 Rory describes community innovations, auxiliary hardware, and open documentation supporting experimentation.55:00 Final reflections on solarpunk futures, automation as empowerment, and how to access FarmBot's resources online.Key InsightsRory Aronson shares how FarmBot began as a DIY project built on Arduino and Raspberry Pi, leveraging the open-source 3D printing ecosystem to prototype quickly. Over time, they transitioned to custom circuit boards to meet the specific demands of automating gardening tasks like seed planting, watering, and weeding, highlighting the tradeoffs between speed to market and long-term hardware optimization.The conversation unpacks the complexity of FarmBot's “stack,” which integrates cloud-based software, a web app, a message broker, a Raspberry Pi running a custom OS, and firmware on both Arduino and auxiliary chips for real-time feedback. This layered approach is crucial for precision in an unpredictable outdoor environment where mechanical errors could damage growing plants.Aronson emphasizes that being open source isn't enough; to be genuinely useful, projects must provide extensive, accessible documentation and export files in open, affordable formats. Without this, open source risks being a hollow promise for most users, especially in hardware where barriers to modification are higher.They explore the solarpunk potential of FarmBot, imagining a future where growing food at home is as effortless as using a washing machine. By turning gardening into an automated process, FarmBot enables people to produce fresh vegetables without needing expertise, offering resilience against industrial food systems reliant on monoculture and long supply chains.Aronson points out that while FarmBot isn't designed for industrial agriculture, its modularity allows it to support niche commercial use cases, like automating seedling production in cleanroom environments. This adaptability reflects the broader vision of empowering both individuals and small operations with accessible automation tools.The episode highlights user creativity enabled by FarmBot's open hardware, including custom tools like side-mounted mirrors for alternative camera angles and pneumatic grippers for harvesting. These community-driven innovations showcase the platform's flexibility and the value of encouraging experimentation.Finally, Aronson sees great potential for integrating AI, particularly vision systems and multimodal LLMs, to make FarmBot smarter—detecting pests, diagnosing plant health, and even planning gardens tailored to user goals like nutrient needs or event timelines, moving closer to a truly intelligent gardening companion.

Join Tommy Shaughnessy as he hosts Pondering Durian (Lead at Delphi Intelligence) and José Macedo (Co-Founder at Delphi Labs & Founding Partner at Delphi Ventures) to introduce Delphi Intelligence — Delphi's new open research initiative focused on artificial intelligence. Learn why Delphi is going deep into frontier models, robotics, reinforcement learning, and the intersection of crypto and AI, and how this initiative aims to uncover transformative opportunities across emerging tech.Delphi Intelligence: https://www.delphiintelligence.io/

On this episode of Crazy Wisdom, Stewart Alsop speaks with Rory Aronson, CEO of FarmBot, about how his open-source hardware project is transforming home gardening into a more automated and accessible practice. Rory explains how FarmBot works—essentially as a CNC machine for your garden—covering its evolution from Arduino-based electronics to custom boards, the challenges of integrating hardware and software, and the role of closed-loop feedback systems to prevent errors. They explore solarpunk visions of distributed food systems, discuss the importance of “useful source” documentation in open-source hardware, and imagine a future where growing food is as easy as running a dishwasher. For more on Rory and FarmBot, check out farm.bot and the open-source resources at docs.farm.bot.Check out this GPT we trained on the conversationTimestamps00:00 Rory explains FarmBot as a CNC machine for gardens, using Arduino and Raspberry Pi, automating planting, watering, and weeding.05:00 Discussion on the hardware stack evolution, open-source electronics roots, and moving to custom boards for better integration.10:00 Stewart shares his Raspberry Pi experiments, Rory breaks down the software layers from cloud apps to firmware, emphasizing complexity.15:00 Conversation shifts to closed-loop feedback with rotary encoders, avoiding 3D printer-style “spaghetti” errors in outdoor environments.20:00 Rory explores open-source challenges, highlighting “useful source” documentation and hardware accessibility for modifications.25:00 Solarpunk vision emerges: distributed food systems, automation enabling home-grown fresh food without expert knowledge.30:00 Raised bed setup, energy efficiency, and FarmBot as a home appliance concept for urban and suburban gardens.35:00 Small-scale versus industrial farming, niche commercial uses like seedling automation, and user creativity with custom tools.40:00 AI potential with vision systems, LLMs for garden planning, and enhancing FarmBot intelligence for real-time adaptation.45:00 Sensors, soil monitoring, image analysis for plant health, and empowering users to integrate FarmBot into smart homes.50:00 Rory describes community innovations, auxiliary hardware, and open documentation supporting experimentation.55:00 Final reflections on solarpunk futures, automation as empowerment, and how to access FarmBot's resources online.Key InsightsRory Aronson shares how FarmBot began as a DIY project built on Arduino and Raspberry Pi, leveraging the open-source 3D printing ecosystem to prototype quickly. Over time, they transitioned to custom circuit boards to meet the specific demands of automating gardening tasks like seed planting, watering, and weeding, highlighting the tradeoffs between speed to market and long-term hardware optimization.The conversation unpacks the complexity of FarmBot's “stack,” which integrates cloud-based software, a web app, a message broker, a Raspberry Pi running a custom OS, and firmware on both Arduino and auxiliary chips for real-time feedback. This layered approach is crucial for precision in an unpredictable outdoor environment where mechanical errors could damage growing plants.Aronson emphasizes that being open source isn't enough; to be genuinely useful, projects must provide extensive, accessible documentation and export files in open, affordable formats. Without this, open source risks being a hollow promise for most users, especially in hardware where barriers to modification are higher.They explore the solarpunk potential of FarmBot, imagining a future where growing food at home is as effortless as using a washing machine. By turning gardening into an automated process, FarmBot enables people to produce fresh vegetables without needing expertise, offering resilience against industrial food systems reliant on monoculture and long supply chains.Aronson points out that while FarmBot isn't designed for industrial agriculture, its modularity allows it to support niche commercial use cases, like automating seedling production in cleanroom environments. This adaptability reflects the broader vision of empowering both individuals and small operations with accessible automation tools.The episode highlights user creativity enabled by FarmBot's open hardware, including custom tools like side-mounted mirrors for alternative camera angles and pneumatic grippers for harvesting. These community-driven innovations showcase the platform's flexibility and the value of encouraging experimentation.Finally, Aronson sees great potential for integrating AI, particularly vision systems and multimodal LLMs, to make FarmBot smarter—detecting pests, diagnosing plant health, and even planning gardens tailored to user goals like nutrient needs or event timelines, moving closer to a truly intelligent gardening companion.

We're in the midst of summer and we know that power outages can happen more frequently during this season due to higher temperatures and an increased demand for electricity. A couple years ago we sat down with Ram Rajagopal, an expert in the future of electrical power. He shared a few ways our existing system of massive power plants is slowly but surely giving way to a much leaner, decentralized system of small-scale power generation. Ram refers to this as a move from an “infrastructure-centric” model to a “human-centric” grid — one that will be much smarter, more inclusive and better able to adapt to the needs of individual users. It's a topic that impacts all of us and we hope you'll tune in again for a refresher on how the electric grid works and how it's evolving.Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu.Episode Reference Links:Stanford Profile: Ram RajagopalConnect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / FacebookChapters:(00:00:00) IntroductionRuss Altman introduces guest Ram Rajagopal, a professor of engineering at Stanford University.(00:03:47) What is Powernet?Outline of Powernet—a decentralized, user-focused power grid vision.(00:05:34) Behind-the-Meter IntelligenceAiming to align supply and demand by understanding consumer needs.(00:07:58) Smart Dimmers & Data PrivacyBalancing energy efficiency with privacy concerns in home automation.(00:10:05) Aggregators & Local ControlFuture energy sharing may rely on local devices and trusted middlemen.(00:11:50) Human Motivation & Energy BehaviorWhy both ethics and cost will drive user participation in energy decisions.(00:14:02) Teaching Energy AwarenessA program teaching middle-schoolers to analyze home energy use.(00:16:17) Automating Energy UseBehavioral and systems changes to help align wellness with grid needs.(00:18:58) Grid Shift: Renewables & StorageHow evolving the grid demands real-time monitoring and local resilience.(00:19:57) Sensors & Operational SafetyThe sensing technology that ensures transformers and lines stay within limits.(00:21:27) Smart Dairy: Cooling Cows with AIHow smart fans and storage reduced a dairy farm's energy output.(00:23:28) Building Trust with FarmersThe collaborative process behind deploying the grid tech at the farm.(00:25:01) Smart Ventilation at ScaleScaling the ventilation tech tested on farms to improve public health spaces.(00:26:06) Equity in the Human-Centered GridHow price signals risk overburdening the most vulnerable communities.(00:28:22) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook

Ladyada's diving into solar charging tech with the bq25798 MPPT charger ☀️, exploring IR sensors, drone-friendly compasses, and prepping for another big release ... but take it easy, take it slow ...baby steps

Don't Flinch, It's Time to Penny Pinch! The Bare Minimum Grow: Soil, Sensors & Savvy HarvestsAlongside @reverend_pirate_frog, circle cohosts @howlingbuds and @stoney_alpinist, fill the gap @johnny__apple__ left behind for a special edition of YAG to present a multi-part series focused on achieving a cannabis grow "as cheap as possible" for cheapskates like Rev.We focus on bare essentials, soil and moisture management, and what investments you should make now or later on once you have your first win.The episode dives into the core challenge: establishing a bare minimum setup for a first-time photo or auto grow, starting from scratch, with a rough cash value.  For once, Howling Tech is the cheaper option!You can find more from Your Average Grow (YAG) at:Discord: https://discord.com/invite/AfapacH8RjSpotify: https://open.spotify.com/show/4TH1tL5Bh0AsdT3ToyAiqGYouTube: https://www.youtube.com/@youraveragegrowConsider the source always

This week's EYE ON NPI is going to keep an eye on the hot summer temperatures - it's Melexis' MLX90632 Miniature Far Infrared (FIR) Sensors (https://www.digikey.com/en/product-highlight/m/melexis/mlx90632-miniature-far-infared-fir-sensors) a series of low cost, high performance, ultra tiny IR temperature sensors with medical grade accuracy! The MLX90632 comes from Melexis (https://www.digikey.com/short/zvzvp01b) whose expertise is IR temperature sensors. We've been using their sensors like the MLX90614 (https://www.digikey.com/short/b990pn8w) for over a decade! These sensors are specifically good for sensing the temperature of something that they are not touching. There's lots of reasons to use this, for example when something is really hot, so you don't want your circuit to reach the same temperature which would degrade or damage it. Or for sanitation: unlike in-ear or oral temperature sensing, you can point this at someone's head or mouth to measure their temperature without ickyness. Or maybe you're measuring something that is far away or hard to attach a thermocouple to, for example to measure the temperature of a leaf for calculating the Vapor Pressure Deficit (https://en.wikipedia.org/wiki/Vapour-pressure_deficit). For 'single point' measurement, we've used the MLX90614 (https://www.digikey.com/short/b990pn8w), they've also got the MLX90640 (https://www.digikey.com/short/8pf5zrq8) which is more like a camera, with 32x24 pixel IR camera support. Both are way cheaper than a full FLIR camera module, and we love the I2C interface which makes it easy to interface with any microcontroller or microcomputer. However, what we really wanted is something more affordable and hopefully even surface-mount-friendly. After a bit of searching this week we bumped into the MLX90632 (https://www.digikey.com/short/zvzvp01b) which has everything we've wanted! First up, unlike the other IR sensors we've used, the MLX90632 (https://www.digikey.com/short/zvzvp01b) is compact and surface mountable - that makes assembly fast and easy without hand soldering and lead-clipping. Second, it's got an I2C interface so we don't have to do any analog noodling to convert a current to temperature. It's also pre-calibrated so you can use it right 'out of the box' like classic non-IR temperature sensors. There's versions for both 3.3V or 1.8V power/logic, so you can pop it into your circuit with ease. And if you're using for human/animal temperature monitoring, the medical-grade version is factory calibrated with an accuracy of ±0.2˚C within the narrow object temperature range from 35 to 42˚C. Note that both 'standard' and 'medical' grade have different accuracy zones, and as you get to the extremes from 25C, the accuracy in C will rise to +-4C: its a trade-off between range and accuracy. Just note that you need to tell the sensor which mode you want to be in, over I2C Speaking of - this sensor is I2C compatible! So it's easy to interface this using C, Arduino, Python, etc. Check out the register map in the datasheet - you will need to read the pre-programmed calibration constants in order to convert readings to ambient/remote temperatures. There's also built in EEPROM that you can program with offsets or to change the I2C peripheral address, handy if you have device-specific settings that you want to tie to the individual sensor for custom calibration. To make it easier to get going, check out the Melexis C library on github (https://github.com/melexis/mlx90632-library) If you think the MLX90632 (https://www.digikey.com/short/zvzvp01b) is hot-to-trot, then you are in luck because there's tons in stock at DigiKey right now, available for immediate shipment! Order today and you'll get this tiny IR sensor for your own by tomorrow afternoon so you can start getting precision remote temperature sensing added to your design in a jiffy.

Send us a textIn this episode of the METUS Tech Show, Bryn, Scott, and Felix discuss the refrigerant sensors in each M&P indoor unit.Thanks for listening! Please visit www.mitsubishicomfort.comContact us at metustechshow@hvac.mea.com

In the good old days of driving, we needed to make sure the mechanical things worked: Things like the engine, of course, the steering and the brakes. We were in charge of driving the car.  Now, for better and for worse, technologies are moving in and taking over. Sensors, cameras, on-board computers, software. Those powerful technologies are mostly invisible to the naked eye. They give us directions and infotainment; they help to avoid accidents. The more advanced technologies can now deliver us from Point A to Point B without human intervention. That's quite amazing when you think about it. And more than a little bit scary. How do we know that the sophisticated hardware and software will operate safely every time we get into the car? The reality is that there is no such thing as a perfect system, at least not yet. But there are ways to minimize our risks. That's where QNX comes in. The company, based in Ottawa, Canada, delivers real-time operating systems for safety critical applications.   As COO John Wall says, the modern car is becoming a robot on wheels. How can we know for sure that our robot remains our best friend, always looking out for our safety and security? John Wall has answers, today, on the Driving With Dunne podcast. 

Join Can Gurel as he hosts Harry Dewhirst, co-founder and CEO of 375ai, to discuss their ambitious real-world application of DePIN. Learn how they're building a decentralized network of sensors to capture and monetize physical data at scale.375ai: https://www.375.ai/

This Weeks Callers Caller 1: Zac from OKC says the Highlander is not canceled Caller 2: Frank says he is not Florida Frank, he is Bee Frank Caller 3: Nathan from Pittsburgh calls to say he likes the TRUKD Bed Racks Caller 4: Zac from OKC updates us on his truck Caller 5: Zac from OKC asks about Bradly V's Wheels Caller 6: Cody the Albino Sandsquarl calls in to say Jeeps Suck Caller 7: Richard from Atlanta asks why the new Tundras have the exhaust on the other side Caller 8: Solve Function Lee says he wants to go wheeling CALL US AND LEAVE US A VOICEMAIL!!!! We want to hear from you even more!!! You can call and say whatever you like! Ask a question, leave feedback, correct some information about welding, say how much you hate your Jeep, and wish you had a Toyota! We will air them all, live, on the podcast! +01-916-345-4744. An alternative method would be sending us an email at Jimmy@snailtrail4x4.com or at Tyler@snailtrail4x4.com. You can also find us on Instagram at SnailTrail4x4 or 4x4ToyotaTyler Listener Discount Codes: SnailTrail4x4 -SnailTrail15 for 15% off SnailTrail4x4 MerchMORRFlate - snailtraill4x4 to get 10% off MORRFlate Multi Tire Inflation Deflation™ KitsIronman 4x4 - snailtrail20 to get 20% off all Ironman 4x4 branded equipment!Sidetracked Offroad - snailtrail4x4 (lowercase) to get 15% off lights and recovery gearSpartan Rope - snailtrail4x4 to get 10% off sitewideShock Surplus - SNAILTRAIL4x4 to get $25 off any order!Mob Armor - SNAILTRAIL4X4 for 15% off

What does it take to future-proof the modern workplace? In this episode, I speak with Thomas Rowley, Chief Technologist for Networking and Connectivity at Softcat, about the real-world challenges of managing a high-density office and how the company turned to Cisco to create a more intelligent, responsive environment. As more employees returned to the office, Softcat began to notice a hidden problem. Rising CO2 levels were affecting the comfort and productivity of their teams. Rather than treat it as a facilities issue, they tackled it head-on with technology. Working with Cisco, they rolled out a combination of access points, collaboration tools, and Meraki sensors that transformed their workspace into a data-informed, adaptive environment. But this story isn't just about devices. It's about inspiration too. A visit to Cisco's Experience Center opened Softcat's eyes to what was possible, not just in terms of hardware, but in how unified tech strategies can drive better decisions. That visit ultimately sparked the idea for their own internal innovation space, showcasing how operational excellence can become a cultural value, not just a technical outcome. Thomas also shares insight into the evolving role of connectivity in hybrid work, how Softcat supports over 1,500 salespeople with scalable IT solutions, and why the partnership with Cisco continues to shape their global ambitions. From sustainability to scalability, this episode offers a practical look at how two leading tech firms collaborate to solve problems that many businesses are only just beginning to understand. If your office still treats infrastructure as an afterthought, this conversation might change your mind. Are your workplace systems ready to handle both people and performance?      

Our favorite episodes are these Q+As where we answer listener questions on all of the hottest topics! It's called a "No Secrets" Q+A because we try to take you behind the curtain, speculating about ideas that might not be talked about in public very often. Let's get spicy!The main topic was Cam Wurf's reported 200 grams of carbs per hour at Ironman Texas to set a bike split record. These extreme carb totals are starting to become more prevalent in triathlon. Do we think they're here to stay? Surprisingly, we have doubts. Forgive us, carb daddy, for we have sinned.And there were so many great topics! Other topics: heat suit long runs, race week thoughts, our new favorite recovery product, our initial thoughts on the Nix hydration biosensor, high carb and GI concerns, minimum dose heat training, AI titles, sodium intake during training and racing, kids and hydration, track and speed training for ultras, 2nd opinions in medical settings, working through low motivation and mental health struggles, structuring training camps, and more.May your quails be peaceful and your critics get a minor case of plantar fasciitis. We love you all! HUZZAH!-David and MeganClick "Claim Reward" for free credit at The Feed here: thefeed.com/swap Buy Janji's amazing gear: https://janji.com/ (code "SWAP")For weekly bonus podcasts, articles, and videos: patreon.com/swap