After testing facial recognition technology for entry to individual Epic Universe worlds, Universal has confirmed this will be used at select times. Epic Universe Photo Validation The Photo Validation Image webpage on the Universal Orlando Resort states the following: Effortless Entry to Your Favorite Epic Universe Worlds There’s nothing like stepping into the worlds of Universal Epic Universe. To keep your passage easy, you can use Photo Validation for Effortless Entry whenever Virtual Line return times are being used. Photo validation uses cameras on stanchions to recognize a guest’s face so they don’t have to present a ticket. Epic Universe guests saw these cameras and stanchions testing at Epic Universe portals earlier this month. Though the Universal Orlando website states the tech would be used when Virtual Line return times are required to enter a portal, Virtual Lines have rarely been necessary at Epic Universe. The park does not operate at full capacity. This new information could indicate Universal will raise the park’s capacity, especially if they are planning to open new offerings. In addition to potential expansions, a fireworks show is rumored and an existing restaurant still has yet to open. As we speculated in our original article, Universal could also use photo validation for individual worlds when companies buy out a section of the park for a special event, or for early entry for hotel guests and passholders. Back in 2023, Universal Destinations & Experiences CEO Mark Woodbury said Epic Universe would be the “most technologically advanced park,” using facial recognition technology for park entry. Other Universal parks also implemented the technology. What do you think of potential operational changes at Universal Epic Universe? Let us know on social media. For more Universal Studios news from around the world, follow Universal Parks News Today on Twitter, Facebook, and
Apr 21, 2026 · via wdwnt.com
U.S. Army Col. Kevin Kelly, Brooke Army Medical Center commander, and BAMC Command Sgt. Maj. Jan “Eddy” Miller present a certificate of appreciation to Susan Messer and Peanut during a volunteer recognition ceremony at BAMC, Joint Base San Antonio-Fort Sam Houston, Texas, April 17, 2026. The therapy dog team received the award for BAMC Non-Professional Civilian Volunteer of the Year. (DoW Photo by Garron Webster)
| Date Taken: | 04.17.2026 |
| Date Posted: | 04.21.2026 12:01 |
| Photo ID: | 9629379 |
| VIRIN: | 260417-D-SR136-1120 |
| Resolution: | 4500x3600 |
| Size: | 2.86 MB |
| Location: | FORT SAM HOUSTON, TEXAS, US |
| Web Views: | 11 |
| Downloads: | 1 |
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Apr 21, 2026 · via dvidshub.net
Google introduced the Google app for Windows, a desktop application that puts a universal search box a keystroke away, featuring an Alt + Space shortcut that summons results across files, apps, Drive and the web. The app graduated from Search Labs and is now globally available in English for Windows users, delivering results without opening a browser tab. Built-in tools extend the search: Google Lens is integrated so users can click to search on-screen images, translate text, or solve problems directly, and a screen-sharing option lets people keep content visible while asking follow-up questions. An AI Mode provides conversational, context-aware answers with internet-connected citations. For consumers this compresses discovery into a single workflow, replacing repeated browser searches and mirroring macOS Spotlight behavior while adding Google-native features. The rollout signals intensified competition for desktop search, offering a faster, multimodal way to find information on Windows machines. Desktop Search Shortcuts Google Launches the Google App for Windows Trend Themes - Universal Desktop Search — A single, system-wide search input that surfaces files, apps, cloud content and web results could consolidate fragmented discovery workflows and redefine information access on personal computers. - Keystroke-activated Tools — Instant access to functionality via global shortcuts positions transient UI overlays as primary interaction gateways rather than secondary app windows. - Multimodal Search Integration — Combining text, image recognition and conversational AI in one interface enables richer context-aware queries that blur the line between local content and live internet knowledge. Industry Implications - Enterprise Software — Corporate productivity suites and knowledge management platforms stand to be upended by search tools that unite internal documents, SaaS apps and web resources into one discoverable index. - Operating Systems — Desktop OS vendors may face renewed pressure to embed competitive, privacy-aware universal search capabilities that shift user attention away from traditional
Apr 21, 2026 · via trendhunter.com
- By Ruth Huppach Moments before the start of the Australian Grand Prix 2026, Oscar Piastri’s home race came to an abrupt end. A crash on the warm-up lap meant his McLaren never took the grid, reducing the team to a single car before the race had even begun. In a sport as exposure-intensive as the F1 World Championship, that moment had implications beyond the competitive outcome. With one car removed, a significant share of McLaren’s potential broadcast visibility, and therefore sponsor value, was lost in real time. Three weeks later, both Piastri and teammate Lando Norris completed the Japanese Grand Prix, with Piastri on the podium. This contrast provides a clear lens through which to understand how sponsor exposure is generated in Formula One and the role driver participation plays in it. Using Mastercard as an example, we compared both events, assessing the impact of an absent driver on F1 sponsor visibility. A counterintuitive outcome: Japan outperforms Australia despite shorter race time At a headline level, the two races present differing conditions: Japan was shorter in duration (2hrs 2 mins, compared to Australia’s 2hrs 54mins) and featured two less Mastercard branded assets than Australia, so on the face of it offered less favourable circumstances for Mastercard. One might assume that 30% shorter coverage would yield 30% less exposure duration – however, the overall reduction in Mastercard exposure between Australia and Japan was only 24.8%, meaning Japan was proportionately better at establishing on-screen time for the Mastercard brand. When removing the two additional assets that appeared in Australia but did not receive airtime in Japan (Equipment and Spectator Clothing), the number of Mastercard exposures per hour in Japan was higher (see Chart 1 below), highlighting the fact that in Australia, with one car unable to start, exposure opportunities were vastly
Apr 21, 2026 · via yougov.com
Police to use live facial recognition at horse fair A police force will use live facial recognition (LFR) technology at an annual horse fair. Cumbria Police said it will deploy the technology at Appleby Horse Fair in June. Det Supt Dan St Quintin said the event, which brings thousands of people from the travelling community to the small Cumbrian town, was the force's largest operation each year and the use of LFR would help make the event as safe as possible. "We can identify the troublemakers and prevent them from committing crime [and] causing trouble so that the vast majority of people can enjoy the fair and feel safe," he said. St Quintin said the move follows the force seeking public comments last year about the use of LFR to police the fair. He said the "overwhelming majority" had backed the technology. Most people scanned by the system would have their images deleted in less than a second, said St Quintin. But those put on a specific watchlist, including those considered vulnerable, would be flagged by the system so that a police officer can intervene, he said. St Quintin said the force would only use the technology at large-scale events where it was "proportionate and necessary". It will be the second time that Cumbria Police will use the technology. In March, it was used at a Carlisle United match where the faces of more than 6,000 people were scanned. The force said the system made three accurate matches with none leading to arrests. It also said the system made no false alerts. It follows privacy campaigners losing a High Court challenge aimed at limiting the Metropolitan Police's use of the technology. As of March, the technology is used by 13 out of 43 police forces in England and Wales.
Apr 21, 2026 · via bbc.com
Home Office blocks anti-Islam influencer from entering UK A US-based anti-Islam influencer has been blocked from entering the UK by the Home Office. Valentina Gomez, who has unsuccessfully sought election in Missouri and Texas on an anti-Islam platform, previously filmed herself burning a copy of the Quran in a campaign video on social media. Home Secretary Shabana Mahmood decided that Gomez's presence in the country "would not be conducive to the public good". Gomez wrote on social media last week that she would be speaking at the Tommy Robinson-organised Unite the Kingdom rally in London on 16 May. Responding to the ban, she suggested she would attempt to enter the UK on a small boat, and dared the government to stop her. Sharing a video on X on Monday, Gomez wrote: "They can try to ban me, but they cannot ban the TRUTH. See you on May 16th." At a previous Unite the Kingdom march in London last September, Gomez referred to "rapist Muslims" and said Islam was "the sword that the left is using to destroy Christian nations". Gomez, who was born in Colombia, said she was coming to speak at the next Unite the Kingdom rally in May. Before the Home Office's decision to block Gomez on Monday, the influencer previously said her application to enter the UK had been approved. "VISA APPROVED," she wrote on Instagram last week. That prompted the Muslim Council of Britain to write to the home secretary expressing concern that Gomez was being allowed to come to the UK again. In a letter published on 17 April, it said allowing Gomez to speak on a public platform in the UK would "grant legitimacy and sends a troubling message about the selective application of Home Office standards". The organisation welcomed the decision and said
Apr 21, 2026 · via bbc.com
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Apr 21, 2026 · via youtube.com
Police to use live facial recognition at horse fair A police force will use live facial recognition (LFR) technology at an annual horse fair. Cumbria Police said it will deploy the technology at Appleby Horse Fair in June. Det Supt Dan St Quintin said the event, which brings thousands of people from the travelling community to the small Cumbrian town, was the force's largest operation each year and the use of LFR would help make the event as safe as possible. "We can identify the troublemakers and prevent them from committing crime [and] causing trouble so that the vast majority of people can enjoy the fair and feel safe," he said. St Quintin said the move follows the force seeking public comments last year about the use of LFR to police the fair. He said the "overwhelming majority" had backed the technology. Most people scanned by the system would have their images deleted in less than a second, said St Quintin. But those put on a specific watchlist, including those considered vulnerable, would be flagged by the system so that a police officer can intervene, he said. St Quintin said the force would only use the technology at large-scale events where it was "proportionate and necessary". It will be the second time that Cumbria Police will use the technology. In March, it was used at a Carlisle United match where the faces of more than 6,000 people were scanned. The force said the system made three accurate matches with none leading to arrests. It also said the system made no false alerts. It follows privacy campaigners losing a High Court challenge aimed at limiting the Metropolitan Police's use of the technology. As of March, the technology is used by 13 out of 43 police forces in England and Wales.
Apr 21, 2026 · via bbc.com
The AI platform Clarifai deleted 3 million photos that it says it got from OkCupid to train its facial recognition AI, according to Reuters. The company also deleted any models that were trained using that data. Per the FTC’s investigation, Clarifai asked OkCupid — whose executives had invested in the company — to share data in 2014. The dating app then provided these user-uploaded photos, reports say, along with other demographic and location data. Per OkCupid’s own privacy policies, this behavior should have been prohibited. “We’re collecting data now and just realized that OKCupid must have a HUGE amount of awesome data for this,” Clarifai founder and CEO Matthew Zeiler wrote in an email to OkCupid co-founder Maxwell Krohn, according to court documents reviewed by Reuters. Though this incident appears to have taken place 12 years ago, the FTC did not open an investigation until 2019, when a New York Times article about Clarifai mentioned that the company had used images from OkCupid to build an AI tool that could estimate someone’s age, sex, and race based on their face. The FTC and OkCupid, which is owned by Match Group, settled the lawsuit last month. At the time, OkCupid and Match Group did not admit to the allegations that it deceived users by violating its own privacy policies, but Clarifai’s confirmation that it has deleted the data implies that the company did indeed get access to those photos. The FTC also alleged that since 2014, Match Group and OkCupid deliberately concealed this behavior and attempted to obstruct its investigation. OkCupid and Clarifai did not immediately respond to TechCrunch’s requests for comment. While the FTC is not able to fine companies for this type of first-time offense, the agency declared that OkCupid and Match are “permanently prohibited from misrepresenting or assisting
Apr 21, 2026 · via techcrunch.com
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Apr 21, 2026 · via thesun.co.uk
Abstract Nowadays, legged robots often use speaker recognition or Ultra Wide Band(UWB) positioning to identify and track certain people. However, these identification methods need the active cooperation of the identified person, which limits their application. To solve this problem, we propose a “Symmetry-encoding and pseudo-Centroid loss optimized Gait recognition method” (SCGait). The experimental results show that our gait recognition method achieves a mean test accuracy of 82.2% on three subsets of the CASIA-B dataset, and the ablation studies show that our gait encoding method and loss function have good generalization ability. Next, we combine SCGait with Yolo to develop a person identification-tracking system for legged robots. The experimental results show that our system performs quite well in both home companion and industrial patrol legged robots. It achieves an identification accuracy of 91.8% and a FPS of 36 in our test video in a multi-person scene. The code is available at https://github.com/qplqplqpl/SCGait. Similar content being viewed by others Data availability Data is provided within the manuscript. The code is available at https://github.com/qplqplqpl/SCGait. References Miki, T. et al. Learning robust perceptive locomotion for quadrupedal robots in the wild. Sci. Robot. 7(62), eabk2822. https://doi.org/10.1126/scirobotics.abk2822 (2022). Chi, P. et al. Towards new-generation of intelligent welding manufacturing: A systematic review on 3D vision measurement and path planning of humanoid welding robots, Measurement, 116065, (2024). Tuasikal, D. A. A., Fakhrurroja, H. & Machbub, C. Voice activation using speaker recognition for controlling humanoid robot, in IEEE 8th International Conference on System Engineering and Technology (ICSET), 2018: IEEE, pp. 79–84. (2018). Li, S.-A. et al. Voice interaction recognition design in real-life scenario mobile robot applications. Appl. Sci. 13(5), 3359 (2023). Zheng, S. et al. Multi-robot relative positioning and orientation system based on UWB range and graph optimization. Measurement 195, 111068. https://doi.org/10.1016/j.measurement.2022.111068 (2022). Yang, X., Huang, X., Zhang, Y.,
Apr 21, 2026 · via nature.com
Abstract Accurate and efficient detection of road damage is essential for maintaining road safety and supporting intelligent transportation systems. While recent approaches leverage deep learning-based object detection frameworks, they often struggle with high computational demands and suboptimal feature extraction in complex environments. To address these challenges, we propose an enhanced object detection network for road damage detection based on the YOLOv8 architecture. Specifically, we integrate the Spatial and Channel Reconstruction Convolution (SCConv) module into the backbone to reduce feature redundancy while improving spatial and channel representation through a separation-reconstruction strategy. To enhance multi-scale feature fusion, we incorporate the Efficient Multi-Scale Attention (EMA) module into the neck, enabling adaptive spatial-channel attention without introducing significant computational overhead. Extensive benchmark comparison identifies YOLOv8l as a strong baseline for road damage detection. Building upon this, we embed SCConv within the original convolutional modules to achieve a lightweight network and enhance feature representation. We further explore multiple EMA integration strategies to identify an effective model configuration. Experimental results demonstrate that our best-performing model achieves higher detection accuracy than the baseline model, while maintaining computational efficiency. Similar content being viewed by others Data availability The research data used for the experiments in this paper can be found as followings: RDD2022 dataset is available at: https://github.com/sekilab/RoadDamageDetector, UAV-PDD2023 dataset is available at: https://zenodo.org/records/8429208. References Manurung, E. H., Sawito, K., Satoto, A. & Tuanany, N. Analysis of the causes of road damage. Civilla J. Tek. Sipil Univ. Islam Lamongan 7, 87 (2022). Tsubota, T., Fernando, C., Yoshii, T. & Shirayanagi, H. Effect of road pavement types and ages on traffic accident risks. Transp. Res. Procedia 34, 211–218 (2018). Tang, Z., Chamchong, R. & Pawara, P. A comparison of road damage detection based on yolov8. In 2023 International Conference on Machine Learning and Cybernetics (ICMLC), 223–228 (IEEE, 2023). Abdelwahed, S.
Apr 21, 2026 · via nature.com
U.S. Army Soldiers assigned to the 1st Armored Division secure their rucksacks after completing a station in the parking lot of Biggs Physical Fitness Center at Fort Bliss, Texas, April 2, 2026. The Soldiers participated in a Christian-themed Easter spiritual fitness event, focusing on training both physically and spiritually in recognition of the suffering of Jesus. (U.S. Army photo by Spc. Russell Savage V)
| Date Taken: | 04.02.2026 |
| Date Posted: | 04.20.2026 18:26 |
| Photo ID: | 9596084 |
| VIRIN: | 260402-A-CE530-1123 |
| Resolution: | 9215x5003 |
| Size: | 12.97 MB |
| Location: | FORT BLISS, TEXAS, US |
| Web Views: | 3 |
| Downloads: | 0 |
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Apr 21, 2026 · via dvidshub.net
Ben McKenzie had a question: “When did WIRED die?” Specifically, the actor-director wanted to know when did WIRED “‘DIE,’ all caps.” McKenzie wasn’t asking for himself; he was engaging in the time-honored celebrity tradition of reading mean tweets. Although, in this case, the object wasn’t himself so much as the publication hosting the event. McKenzie, who famously played Ryan on The O.C. before becoming a leading voice of crypto skepticism, was sharing the stage with WIRED senior correspondent Andy Greenberg for the first of what will hopefully be a series of smaller events that we are calling WIRED@Night. On April 16, about 100 people gathered at event partner Ace Hotel Brooklyn to sip drinks from Aplos, Faccia Brutto, The Sorting Table, and Manojo and ponder the future of cryptocurrency. McKenzie, coauthor of Easy Money: Cryptocurrency, Casino Capitalism, and the Golden Age of Fraud, has a new independent documentary in theaters called Everyone Is Lying to You for Money. Greenberg, who often writes about crypto scams, talked to him about scenes from the book and movie, in which McKenzie traveled to places like crypto hub El Salvador to understand why the technology still has so much appeal despite its less-than-stellar reputation. One of McKenzie’s explanations? Male loneliness. “It’s the longing for community, actual community,” McKenzie said, noting that crypto exists online as a kind of extreme gambling, something that really exploded into the mainstream during the Covid-19 pandemic. Here’s to more IRL antidotes to that kind of digital isolation.
Apr 21, 2026 · via wired.com
MIDDLEBURG HEIGHTS, Ohio — Middleburg Heights Police are using facial recognition technology to assist them in shoplifting cases. After one case, on March 30, police received surveillance footage from the BJ’s Wholesale Club on W. 130th Street. Police say the man in a white jacket and red pants took PlayStation headsets out of their boxes, stuffed them into his jacket, and walked out the door with the nearly $500 in loot. Loss Prevention didn’t stop the man. “They didn’t realize it initially, I think it was after the fact,” Middleburg Heights Interim Police Chief Robert Swanson said. An officer had two photos of the suspect’s face from the images provided. “He ran them through a program called Clearview AI that we have,” Swanson said. Clearview AI is a facial recognition software. Swanson says they’ve also used it in felonious assault and human trafficking cases. "It scrapes information from public databases, it goes through millions and millions of images, and it takes it from Instagram, Facebook, a lot of social media platforms, and news articles," Swanson said. But Swanson says his officers only use it as a tool to help identify a person. “We have to per our policy All Clearview AI does is generate an investigative lead. And that kind of points us in the right direction,” Swanson said. The chief says the officers have a mobile version of the technology that lets them take a snapshot of someone while they’re trying to identify them in the field. "It shows that this department is using the tool in kind of a broad range of cases, CSU Law Professor Jonathan Witmer-Rich said. Witmer-Rich says there are real privacy concerns with facial recognition technology, as well as concerns about what happens if it doesn’t identify the right person. “Because you’re looking through
Apr 20, 2026 · via news5cleveland.com
SAN JOSÉ, Calif., April 20, 2026 (GLOBE NEWSWIRE) -- Metafoodx, an AI-powered kitchen intelligence platform for commercial foodservice operations, will showcase its award-winning 3D AI food tracking and analytics technology at the 2026 National Restaurant Association Show in Chicago. The show draws more than 52,000 foodservice professionals and 2,000 exhibiting organizations across 900+ product categories, offering a premier platform for Metafoodx to provide customers and industry leaders with an exclusive look at its breakthrough technology transforming kitchen efficiency and sustainability. Metafoodx is redefining kitchen operations by replacing manual processes and guesswork with real-time, data-driven intelligence. Its proprietary 3D AI scanning system captures critical data points (including precise weight, image recognition, and temperature) in under two seconds per scan. This data is automatically linked to menu items, giving operators a detailed, end-to-end view of food production, consumption, food safety conditions, and waste. The platform integrates seamlessly with leading foodservice systems such as Jamix, Illumia, and Parsley via an open API. At the show, Metafoodx will demonstrate its full kitchen intelligence platform, including the 3D AI scanner and analytics dashboard, which transforms operational data into actionable insights. By analyzing consumption trends and historical patterns, the platform enables kitchens to optimize production, improve forecasting, automate temperature logging for food safety, and significantly reduce overproduction and waste. Customers using Metafoodx have reported up to a 90% reduction in food waste and as much as a 500x return on investment in multiple countries and across C&U, Resorts, Corporate Dining, and QSRs. “The 2026 show is an exciting opportunity for us to connect directly with operators and industry partners, and to demonstrate how our platform brings real intelligence into kitchen operations,” said Fengmin Gong, CEO and Co-Founder of Metafoodx. “We’ve made it simple for teams to use their own data to improve ordering, preparation, and service
Apr 20, 2026 · via markets.businessinsider.com
When police arrested Kimberlee Williams, a grandmother living in Oklahoma, because of a warrant from Maryland, she was shocked. She had never been to Maryland in her life. Ms. Williams later learned that Maryland police had relied on an incorrect result from facial recognition technology that falsely flagged her as a suspect. She is the 14th person in the U.S. to join a growing list of people wrongfully arrested because police let flawed facial recognition technology taint their investigations. Police use of facial recognition technology is dangerous, and stories of people wrongfully arrested because of police reliance on incorrect facial recognition results continue to surface. Today, the ACLU and ACLU of Maryland sent letters to three Maryland police departments on behalf of Ms. Williams, who was wrongfully arrested and jailed for six months because Maryland police relied on a false facial recognition result and concealed their reliance on that unreliable technology from the court when applying for an arrest warrant. One Woman Arrested for a Crime She Didn't Commit On June 23, 2021, Ms. Williams was accompanying one of her daughters on a DoorDash delivery to a local military base in Lawton, Oklahoma. When base security at the entry checkpoint conducted a standard identification check, they discovered outstanding Maryland arrest warrants for Ms. Williams and detained her. These warrants sought Ms. Williams' arrest for a series of fraudulent over-the-counter cash withdrawals in Maryland in December 2019 and January 2020. An unknown individual had entered SunTrust and Truist bank branches in three different counties, impersonated account holders, and fraudulently withdrew thousands of dollars from those individuals' accounts. Ms. Williams, however, was nowhere near Maryland during this time. She was a resident of Oklahoma, living with two of her daughters and their children. While someone was defrauding banks in Maryland, Ms. Williams
Apr 20, 2026 · via creators.com
The Syracuse Common Council tabled a bill on Monday that would prevent business owners from using biometric surveillance systems.
Those systems include facial recognition and eye recognition programs.
Common Councilor Jimmy Monto says lawmakers need more time to look into the bill.
"We're constantly in a place where we're trying to strike a balance between keeping the public safe and also keeping everyone's constitutional rights and their data and their personal information also safe," Monto said. "We deserve both. We should be safe in our homes. We should be safe in streets but also we shouldn't have to walk into a grocery store and worry if someone is scanning our eyes and scanning our face."
Apr 20, 2026 · via spectrumlocalnews.com
Abstract Multi-source information fusion plays a crucial role in enhancing object recognition performance. However, in real-world applications such as autonomous driving and industrial inspection, occlusion and data inconsistencies caused by complex environments can undermine the reliability of extracted features. In this paper, we propose a Topology-Aware Multi-Information Fusion (TMF) model, designed to improve the robustness and generalizability of feature extraction in multi-sensor data. For the first time, our model simultaneously integrates topological architectures into both feature extraction and propagation within a multi-source information framework. The proposed model introduces two key modules. The Enhancing Feature Module (EFM) refines local geometric structures in a topology-preserving manner. The Attention Topology Module (ATM) applies topology-aware attention during feature propagation to dynamically recalibrate feature importance, thereby improving the cross-modal fusion process. In addition, 2D RGB features extracted by a lightweight convolutional encoder are concatenated with 3D point-cloud features, providing a clear and effective fusion strategy. Through a structured fusion framework, our method effectively integrates 3D point cloud features with 2D image-based convolutional descriptors, maximizing the complementary advantages of different sensor modalities. Extensive experiments conducted on the S3DIS and Semantic3D datasets validate the effectiveness of our model. Compared to the typical object recognition model, PointNet, our proposed method achieves a 15.3% and 17.1% improvement in mIoU, respectively. Additionally, we further validate the model using self-collected real-world data, demonstrating its applicability across different data distributions and its potential for real-world multi-modal object recognition. Similar content being viewed by others Data availability This study utilizes both publicly available datasets and self-collected data. The S3DIS dataset is available at http://buildingparser.stanford.edu/dataset.html, and the Semantic3D dataset can be accessed at http://www.semantic3d.net/. The self-collected data were acquired by the authors and are not publicly available. However, they can be provided upon reasonable request to the corresponding author. Code availability The code supporting
Apr 20, 2026 · via nature.com
AI-powered computer vision technology company Restb.ai has announced it now reaches more than 1 million real estate agents through its growing network of MLS partnerships across the United States and Canada. With adoption spanning 26 new MLSs over the past 18 months, Restb.ai’s technology is believed to be one of the most widely deployed AI solutions available to real estate agents in North America. According to a release, Restb.ai’s rapid expansion reflects growing demand from MLSs looking to deliver smarter, more automated tools to their customers. By integrating AI directly into the MLS workflow, real estate agents gain access to a wide range of Restb.ai AI-powered capabilities, including image recognition, automated tagging, compliance insights, and enriched property data, without changing how they work. “These MLSs are leading the way in the deployment of practical and safe AI solutions agents can use right away,” said Dominik Pogorzelski, president, MLS at Restb.ai. “Agents are not being asked to learn new systems. Restb.ai technology is built into the systems they already use every day.” MLSs that have deployed Restb.ai technology for the first time in the U.S. over the past 18 months include: ArkansasONE MLS, Beaches MLS (Florida), Billings Association of REALTORS® (Montana), Charlottesville Area Association of REALTORS® (Virginia), Coeur d’Alene MLS (Idaho), Colorado Real Estate Network, Indiana Regional MLS, Intermountain MLS (Idaho), MLS Technology, Inc. (Tulsa, Oklahoma), MLS United, LLC (Mississippi), Mammoth Lakes Board of REALTORS® (California), MetroList® MLS (California), New Mexico MLS, REALTORS® Association of Indian River County Inc. (Florida), Realcomp (Michigan), Royal Gorge Association of REALTORS® Inc. (Colorado), Greater Alabama MLS Inc, San Francisco Association of REALTORS® (California), Sanibel and Captiva Island Association of REALTORS® (Florida), Tulare County Association of REALTORS ® (California), Western River Valley Board of REALTORS® (Arkansas) and Western Upstate MLS (South Carolina). In Canada, participating organizations
Apr 20, 2026 · via rismedia.com