Mike Matas, founder of Lobe, says: “There’s been a lot of situations where people have kind of thought about AI and have these cool ideas, but they can’t execute them. Founded by Mike Matas, Adam Menges, and Markus Beissinger in 2015, Lobe created visual tools that can build deep-learning models with a drag-and-drop user interface, rather than lines of code. Lobe used these images to create a machine learning model that can distinguish among the different insects and run on a small Raspberry Pi device at the entrance of the hive to alert owners to trouble. He has previously worked at The Omni Group doing interface and graphic design work. When you’re done, you can export a trained model and ship it directly in your app. Michael Matas (born in Seattle, Washington, March 23, 1986) is a user interface designer and icon artist. Greater Toulouse Metropolitan Area. Early customers include The Nature Conservancy, which is using the Lobe app as part of a larger project to map and protect Caribbean marine resources and pick out which vacation photos uploaded by tourists visiting those … Lobe, the startup Microsoft acquired from UI star Mike Matas & co., offers a way to feed training data into an ML system via one's browser. Markus Beissinger. I talked with Mike Matas, one of Lobe’s co-founders and the designer behind many a popular digital interface, about the platform and his motivations for creating it. Cachor said he’d thought about using machine learning to automate that task, but the tools he had run across seemed too cumbersome and time consuming to learn. I'm following this tutorial. Company co-founder Mike Matas told The Verge that Lobe isn’t designed to compete with software used by machine learning professionals (tools like PyTorch and TensorFlow). The company founders include Mike Matas, Adam Menges, and Markus Beissinger. Another early customer, Chris Cachor, is a software engineer for Sincro, an Ansira company focused on automotive marketing. The company founders include Mike Matas, Adam Menges, and Markus Beissinger. Apple Machine Learning Journal A blog written by Apple engineers. The photos have been stripped of all personal information but retain geographic data, which can help give decision makers a rough idea of how popular those nature-based tourism activities are in different locations. “It kind of took you from zero to 60 really quick.”. “We want them to be able to use it in ways that they either could not before or didn’t realize they could before.”. Credit: Mike Matas, Microsoft Microsoft acquired Lobe in 2018 to make AI development more accessible. Once training is done, the models can be easily exported to run on industry standard platforms and work in apps, websites or devices. Mike Matas is an entrepreneur and designer who has helped bring to life many groundbreaking products and interfaces over the past 15 years. I talked with Mike Matas, one of Lobe’s co-founders and the designer behind many a popular digital interface, about the platform and his motivations for creating it. Lobe General Information Description. Matas co-founded Delicious Monster in 2004 together with Wil Shipley. Mike Matas net worth Oct, 2020. Adam Menges. He has previously worked at The Omni Group doing interface and graphic design work. Credit: Mike Matas, Microsoft. Follow her on Twitter. It fills them with confidence that they can actually use machine learning. Mike Matas, Microsoft. Hello Lobe Team, I have trained a model in Lobe, and exported it as a .tflite file because I plan to run it on a mobile device. While the UI is quite nice (thanks to Mike Matas, I am sure), I don't see a strong advantage to using this on MacOs, when CreateML is available. Before using Lobe, The Nature Conservancy had to contract with data science researchers and students to create a custom machine learning model that could identify tourists engaging with coral reefs. Other customers have used Lobe to build apps that can help identify harmful plants like poison oak on a hike, or that use a camera to send an alert when they accidentally leave the garage door open or when the street parking spot in front of their house opens up. San Francisco, CA. “A threat like that could kill your hive in a couple of hours, and it’d be game over,” Cusack said. "Lobe is taking what is a sophisticated and complex And when you have confidence you become more creative and start looking around and asking ‘What other stuff can I do with this?’”. Other customers have used Lobe to build apps that can help identify harmful plants like poison oak on a hike, or that use a camera to send an alert when they accidentally leave the garage door open or when the street parking spot in front of their house opens up. Top image: A backyard beekeeper used Lobe, a free app that helps people train custom machine learning models, to create a device that can distinguish between bees entering a hive and invader insects that threaten the colony. @mike_matas. Lobe was founded in August 2016 with headquarters in San Francisco, California according to Bloomberg. I talked with Mike Matas, one of Lobe’s co-founders and the designer behind many a popular digital interface, about the platform and his motivations for creating it. It’s a completely visual tool from designer Mike Matas and his co-founders Markus Beissinger and Adam Menges. To train the model, Longley-Wood collected two sets of images and imported them into Lobe. In addition, he has been listed as the co-inventor on patents Apple has filed. CreateML doesn't have the simple interface of Lobe, but the UI is quite accessible and gives you access to additional classifies, like sound, text and tabular data. If the model gets confused and incorrectly labels a picture of a person swimming next to a boat as a whale watching photo, you can correct it with the click of a button. Mike Matas Lobe Founder, Design Lead San Francisco, CA. Lobe automatically selects the right machine learning architecture and starts training without any setup or configuration. “So we’ve found that these crowdsourced datasets can be really helpful in filling those gaps.”. He has previously worked at The Omni Group doing interface and graphic design work. His latest startup Lobe, makes it possible for anyone to train custom machine learning models with a free, easy to use app. Sean Cusack has been a backyard beekeeper for 10 years and a tinkerer for longer. Lobe (Acquired by Microsoft), +7 more Mike Matas VP, Lead Generation Toronto, ON. People are less likely to engage with ads featuring stock images of a car model for sale, as opposed to an authentic photo of the car as it appears on the lot, Cachor said. He later worked at Apple, Inc. and designed some of the major user interfaces in Mac OS X, iOS for iPhone and iPads. Related Products. Mike Matas Designer, photographer, gardener, husband, dad, founder of Lobe - Healdsburg, CA www.lobe.ai Lobe Visual tool for building custom deep learning models. He later left Apple. Because sightings of the hornet in the wild are still rare, Cusack printed out pictures, attached them to sticks and stuck them in the beehive to mimic an invasive threat. They envisioned installing a motion-sensor-activated camera at a beehive entrance and using machine learning to remotely identify when invaders like mites or wasps or potentially even the Asian giant hornet were getting in. I am using Android Studio (language: Java). So those ideas just get shed, unless you have access to an AI team.” They look amazing up on the wall and make great gifts. Creator. The first were of “whale and dolphin watching” vacation photos of people who are clearly engaged in those activities. ... Mike Matas. The free app, which Microsoft is making available today in public preview, helps people with no data science experience import images into Lobe and easily label them to create a machine learning dataset. Within minutes, he had his first version of a computer vision model to weed out photos that are less likely to perform well in ads. That’s the goal of Lobe, a startup and platform that genuinely seems to have made AI models as simple to put together as LEGO bricks. That’s the goal of Lobe, a startup and platform that genuinely seems to have made AI models as simple to put together as LEGO bricks. “Lobe is taking what is a sophisticated and complex piece of technology and making it actively fun,” said Bill Barnes, manager for Lobe, which Microsoft acquired and began incubating in 2018. Early customers include The Nature Conservancy, which is using the Lobe app as part of a larger project to map and protect Caribbean marine resources and pick out which vacation photos uploaded by tourists visiting those regions relate to whale and dolphin watching. “There are a lot of good fishing maps, there are a lot of good shipping maps and maps that show where different habitats are. Michael "Mike" Matas (born in Seattle, Washington, March 23, 1986) is a user interface designer and icon artist. Here, Mike had been a part of iPhone and iPad team, the ended at Fb’s paper and On Spot Article Market before starting Lobe as a separate brand to enhance the market of AI. Enabling others to use AI. I am always interested in anything Matas does, and Lobe is no exception. Developer Tools. Michael Matas Conseiller patrimonial chez CIC. After training, the models can be exported to … The aim of the company was to make deep learning understandable and accessible all, without having to deeply learn technological skills. “I’m pretty tech savvy, but when I’d tried to do some machine learning things in the past I found it to be pretty intimidating or overwhelming to put all the pieces of the puzzle together,” said Cusack, a Microsoft software engineer who normally works in enterprise web development. All the data is kept private, with no internet connection or logins required. Lobe automatically builds you a custom deep learning model and begins training. “There’s been a lot of situations where people have kind of thought about AI and … Mike Matas is the founder of Lobe, along with Markus Beissinger and Adam Menges as co-founders. “It was so cool to see results right away without it becoming a weekend-long academic project,” Cachor said. Outside of design, Mike is a passionate photographer, gardener, husband and dad. Developer of a visual tool designed to build custom deep learning models. It complements Azure AI’s services for customers looking to leverage cloud computing capabilities. Dragging a series of examples from the computer desktop, Lobe trains the model and allows users to insert it in the app they are developing, for example. “We really want to empower more people to leverage machine learning and try it for the first time,” said Jake Cohen, Lobe senior program manager. From Apple, Facebook, and Nest alum Mike Matas, Lobe makes it so you don’t need to be a data scientist to build incredible AI tools. I have no idea how precise and/or general the applications could be, but regardless it makes for a fun & interesting demo. The theory of machine learning isn’t hard to grasp. Mike Matas is an entrepreneur, designer, and photographer. Because training is automatic, people can start by simply importing images of the things they want Lobe to recognize. Yet scripts designed to flag generic car photos haven’t always been able to keep up with increasingly sophisticated computer-generated imagery, he said. Photo by Mike Matas, Microsoft. That’s how he and an entomologist friend got talking about building an early warning system to alert hive owners to potentially catastrophic threats. Lobe fills a sweet spot for customers looking for a simple and quick way to get started with machine learning using their PCs or Macs without requiring any dependency on the cloud, Microsoft says. Mike has 8 jobs listed on their profile. Lobe had venture-capital funding from Chris Sacca’s Lowercase Capital according to PitchBook. “Lobe immediately clicked for me.”. But it’s actually quite hard to capture spatial patterns of what tourists are doing and where and at what intensity,” said Kate Longley-Wood, ocean mapping coordinator for The Nature Conservancy. Today, Lobe supports image classification but plans to expand to other model and data types in the future, Microsoft says. Jennifer Langston writes about Microsoft research and innovation. He helps local car dealerships get the best performance out of social media ads. One advantage of Lobe is that it’s very easy to see where the model is getting things wrong and quickly improve its accuracy, Longley-Wood said. The second contain images that are “not whale or dolphin” — pictures of open water, other types of boats, people snorkeling. Lobe was started in 2015 by Mike Matas, Adam Menges, and Markus Beissinger. “What we find is that it inspires people. Lobe helps you train machine learning models with a free, easy to use app. The other co-founders are Adam Menges and Markus Beissinger. Other customers have used Lobe to build apps that can help identify harmful plants like poison oak on a hike, or that use a camera to send an alert when they accidentally leave the garage door open or when the street parking spot in front of their house opens up. Microsoft PowerPoint’s AI-powered coach will hone your presentation skills everywhere, AI and X-rays: Identifying the many faces of COVID-19, AI for Health – a year of innovations from grantees across the globe, Kitchens in the cloud: AI is restoring consumer trust in the food delivery business, create end-to-end machine learning solutions at home or in the workplace, Microsoft acquired and began incubating in 2018, available for download on Windows or Mac computers. Mike Matas Lobe Founder, Design Lead. Lobe was co-founded by Mike Matas, who previously worked on the iPhone and iPad, as well as Facebook’s Paper and Instant Articles products. In Cusack’s beehive project, which he proved out during the latest Microsoft Hackathon, he used a motion sensor camera that took pictures of honeybees as they flew into the hive, as well as invaders like wasps, earwigs and the giant Asian hornet. “But had you known within 10 minutes of it happening and could get out there and get involved, you could potentially rescue whole colonies.”. ... Lobe.ai. View Mike Matas’ profile on LinkedIn, the world’s largest professional community. Working on something new @SvearchHQ 3 Makers. Mike Matas. It wasn’t until Cusack heard about Lobe, an app that aims to make machine learning easier for people to use and helps them train models without writing code, that he saw a manageable way to bring the project to reality. Matas co-founded Delicious Monster in 2004 together with Wil Shipley. I exported it from Lobe and got a couple files: saved_model.tflite , signature.json , and example [folder]. If you want to make your use this app called Posterino. Lobe, which is available for download on Windows or Mac computers, uses open-source machine learning architectures and transfer learning to train custom machine learning models on the user’s own machine. With Lobe, he was able to import and label examples of stock, computer-generated and authentic car images. Videos uploaded by Mike Matas on Vimeo. Matas co-founded Delicious Monster in 2004 together with Wil Shipley. He is currently working on a new startup Lobe, creating an easy-to-use visual tool to help give people from diverse backgrounds and disciplines the ability to invent with deep learning. Video by Getty Images. Lobe had venture-capital funding from Chris Sacca’s Lowercase Capital according to PitchBook. Just show it examples of what you want it to learn, and it automatically trains a custom machine learning model that can be shipped in your app. That allows people to create end-to-end machine learning solutions at home or in the workplace, such as creating an alert when a resident raccoon gets their garbage or flagging when an employee in a dangerous situation isn’t wearing a helmet. The … Vimeo / Mike Matas’s videos Lobe is an easy-to-use visual tool that lets you build custom deep learning models, quickly train them, and ship them directly in your app without writing code. But Lobe has allowed the nonprofit to do that same work in house, using staff who have no programming or data science experience. Michael "Mike" Matas (born in Seattle, Washington, March 23, 1986) is a user interface designer and icon artist. His work can be seen in the Apple iPhone & iPad, Facebook Paper & Instant Articles, Nest Thermostat, Al Gore's Our Choice, and his two previous startups Delicious Library and Push Pop Press. https://youtu.be/Mdcw3Sb9 Lobe.ai is "creating an easy-to-use visual tool to help give people from diverse backgrounds and disciplines the ability to invent with deep learning".. @mike_matas. Michael "Mike" Matas (born in Seattle, Washington, March 23, 1986) is a user interface designer and icon artist. The nonprofit is using Lobe to flag vacation photos depicting whale or dolphin watching activities that visitors to those countries have uploaded to a popular travel website. Lobe (Acquired by Microsoft), +7 more. CIC. “We plan to continue developing Lobe as a standalone service, supporting open source standards and multiple platforms.” Lobe was co-founded by Mike Matas, who previously worked on the iPhone and iPad, as well as Facebook’s Paper and Instant Articles products. Michael Matas. 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