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Researchers in Florida can now track the health of buildings thanks to new AI technology

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One phrase for well-built structures is “good bones.” But how would an inspector know if there were broken bones in a building or a bridge?

X-rays are used by doctors to evaluate patients, and soon local scientists hope to give engineers access to similar monitoring technology. To better monitor the condition of buildings and bridges, researchers at the University of Central Florida are creating virtual reality and artificial intelligence tools.

The United States’ deteriorating infrastructure placed it 13th on the World Economic Forum’s 2019 ranking. The nation’s infrastructure received a C- from the American Society of Civil Engineers in 2021, noting the need for more cutting-edge technologies to better monitor and maintain the nation’s structures, bridges, and roads.

Professor Necati Catbas of UCF is developing four distinct technologies in an effort to meet that need. With the help of his group of postdocs and students from UCF, he hopes that engineers will be able to inspect buildings in the same manner that a physician would.

Professor Catbas of Lockheed Martin St. Laurent explained, “In a way, you’re looking at a patient versus you’re looking at a patient, and also you’re using MRI or X-ray to really understand what’s going on.”

UCF researchers have created a technology called “computer vision” that allows them to detect infrastructure cracks that human inspectors might miss. Users can view the movement and deformation of support beams inside a structure by donning a headset that is connected to sensors integrated into the structure. Users can interact with cracks they find and use prediction tools to see how they might develop by utilizing mixed reality.

Because it doesn’t require access to the structures in question, computer vision is designed for the visual inspection of structural health, which is convenient for inspectors.

“The state of inspection right now is based on visual inspections,” Catbas said. “The expertise and know-how of the engineer or inspector is very critical. And that accumulates over the years, but they also need complementary technologies.”

Based on historical data from an older, comparable structure, users could anticipate how more recent structures might shift or fracture over a given amount of time using a different tool called a generative adversarial network.

“We are generating new data from the existing data like we are creating synthetic data, and based on the algorithm and methods we can create, and see how the structure is going to look when it has some damage,” Catbas said.

The UCF team has also created an immersive visualization system that allows for remote “virtual visits” to buildings and bridges using augmented and virtual reality. Users can view the real-time status of the structure by overlaying augmented reality details on top of a computer-simulated real-world environment.

“It’s almost like you’re having a virtual tour on the bridge,” Catbas said. “These are tools to provide more flexibility to have access to the bridge and to have access to the data.”

Last but not least, AI is used by the collective intelligence framework technology to expedite the inspection procedures. An inspector scans and evaluates a damaged area in real time using a handheld device or a headset. The inspector can access the building’s condition and avoids having to take manual measurements.

“The ultimate goal here is to effectively manage the data that we are collecting and understand the complex data domains,” Catbas said.

Catbas added that although these smart structure technologies are prepared to be incorporated into engineering standards, they must first pass numerous committee reviews across the nation before being used in routine engineering and inspection.

Catbas believes that technology will play a major role in the infrastructure of the United States.

“We can utilize these technologies, not only for a particular bridge or bridge assessment, but also for extreme events like hurricanes, floods, earthquakes, and really help people recover from these damaging events,” he said. “We can find the critical links in our communities, on the roads, and in buildings. We can find the ones that we need to pay more attention to, work, prepare, and make them more resilient.”

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LG Introduces Smarter Features in 2024 OLED and QNED AI TVs for India

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The much awaited 2024 portfolio of OLED evo AI and QNED AI TVs was unveiled today by LG Electronics India. With their advanced AI capabilities and improved audiovisual experiences, these televisions—which were unveiled at CES 2024 earlier this year—are poised to completely transform home entertainment.

AI-Powered Performance: The Television of the Future

The inclusion of LG’s cutting-edge Alpha 9 Gen 6 AI processor is the lineup’s most notable feature for 2024. Compared to earlier versions, the AI performance can be increased four times thanks to this powerhouse. Beautiful graphics are produced by the AI Picture Pro feature with AI Super Upscaling, and simulated 9.1.2 surround sound is used by AI Sound Pro to create an immersive audio experience.

A Wide Variety of Choices to Meet Every Need

QNED MiniLED (QNED90T), QNED88T, and QNED82T alternatives are available in LG’s 2024 range in addition to OLED evo G4, C4, and B4 series models. With screens ranging from a small 42 inches to an amazing 97 inches, this varied variety accommodates a broad spectrum of consumer tastes.

Features for Entertainment and Gaming to Improve the Experience

The new TVs guarantee an exciting gaming experience with their array of capabilities. Among them include a refresh rate of 4K 144Hz, extensive HDMI 2.1 functionality, and Game Optimizer, which makes it simple to adjust between display presets for various genres. In order to provide fluid gameplay, the TVs also feature AMD FreeSync and NVIDIA G-SYNC Compatible technologies.

Cinephiles will value the TVs’ dynamic tone mapping of HDR material, which guarantees the best possible picture quality in any kind of viewing conditions. Films are shown as the director intended with the Filmmaker Mode, which further improves the cinematic pleasure.

Intelligent and Sophisticated WebOS

Featuring an intuitive UI and enhanced functions, LG’s latest WebOS platform powers the 2024 collection. LG has launched the WebOS Re:New program, which promises to upgrade users’ operating systems for the next five years. This ensures that consumers will continue to benefit from the newest features and advancements for many years to come.

The Cost and Accessibility

The QNED AI and LG OLED evo AI TVs for 2024 have pricing beginning at INR 119,990. These TVs are available for purchase through LG’s wide network of retail partners in India.

The Future of Home Entertainment

LG Electronics India has proven its dedication to innovation and stretching the limits of home entertainment once more with their 2024 portfolio. With their amazing graphics, immersive audio, and smart capabilities that adapt to changing consumer demands, the new OLED evo AI and QNED AI TVs promise to provide an unmatched viewing experience.

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Anomalo Expands Availability of AI-Powered Data Quality Platform on Google Cloud Marketplace

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Anomalo declared that it has broadened its collaboration with Google Cloud and placed its platform on the Google Cloud Marketplace, enabling customers to use their allotted Google Cloud spend to buy Anomalo right away. Without requiring them to write code, define thresholds, or configure rules, Anomalo gives businesses a method to keep an eye on the quality of data being handled or stored in Google Cloud’s BigQuery, AlloyDB, and Dataplex.

GenAI and machine learning (ML) models are being built and operationalized at scale by modern data-powered enterprises, who are also utilizing their centralized data to perform real-time, predictive analytics. That being said, the quality of the data that drives dashboards and production models determines their overall quality. One regrettable reality that many data-driven businesses soon come to terms with is that a large portion of their data is either , outdated, corrupt, or prone to unintentional and unwanted modifications. Because of this, businesses end up devoting more effort to fixing problems with their data than to realizing the potential of that data.

GenAI and machine learning (ML) models are being built and operationalized at scale by modern data-powered enterprises, who are also utilizing their centralized data to perform real-time, predictive analytics. That being said, the quality of the data that drives dashboards and production models determines their overall quality. A prevalent issue faced by numerous data-driven organizations is that a significant portion of their data is either missing, outdated, corrupted, or prone to unanticipated and unwanted modifications. Instead of utilizing their data to its full potential, businesses wind up spending more time fixing problems with it.

Keller Williams, BuzzFeed, and Aritzia are among the joint Anomalo and Google Cloud clients. As stated by Gilad Lotan, head of data science and analytics at BuzzFeed, “Anomalo with Google Cloud’s BigQuery gives us more confidence and trust in our data so we can make decisions faster and mature BuzzFeed Inc.’s data operation.” “We can identify problems before stakeholders and data users throughout the organization even realize they exist thanks to Anomalo’s automatic detection of data quality and availability.” Thanks to BigQuery and Anomalo’s combined capabilities, it’s an excellent place for data teams to be as they transition from reactive to proactive operations.

“Our shared goal of assisting businesses in gaining confidence in the data they rely on to run their operations is closely aligned with that of Google Cloud. Our clients are using BigQuery and Dataplex to manage, track, and create data-driven applications as a result of the skyrocketing volumes of data. Co-founder and CEO of Anomalo Elliot Shmukler stated, “It was a no-brainer to bring our AI-powered data quality monitoring to Google Cloud Marketplace as a next step in this partnership, and a massive win.”

According to Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud, “bringing Anomalo to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the data quality platform on Google Cloud’s trusted, global infrastructure.” “Anomalo can now support customers on their digital transformation journeys and scale in a secure manner.”

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Soket AI Labs Unveils Pragna-1B AI Model in Partnership with Google Cloud

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The open-source multilingual foundation model, known as “Pragna-1B,” was released on Wednesday by the Indian artificial intelligence (AI) research company Soket AI Labs in association with Google Cloud services.

In addition to English, Bengali, Gujarati, and Hindi, the model will offer AI services in other Indian vernacular languages.

“A key factor in the Pragna-1B model’s pre-training was our collaboration with Google Cloud. Our development of Pragna-1B was both efficient and economical thanks to the utilization of Google Cloud’s AI Infrastructure. Asserting comparable performance and efficacy in language processing tasks to similar category models, Pragna-1B demonstrates unmatched inventiveness and efficiency despite having been trained on fewer parameters, according to Soket AI Labs founder Abhishek Upperwal.”

Pragna-1B, he continued, “is specifically designed for vernacular languages. It provides balanced language representation and facilitates faster and more efficient tokenization, making it ideal for organizations looking to optimize operations and enhance functionality.”

By adding Soket’s AI developer platform to the Google Cloud Marketplace and the Pragna model series to the Google Vertex AI model repository, Soket AI Labs and Google Cloud will shortly expand their partnership even further.

Developers will have a strong, efficient experience fine-tuning models thanks to this connection. According to the business, the combination of Vertex AI and TPUs’ high-performance resources with Soket’s AI Developer Platform’s user-friendly interface would provide the best possible efficiency and scalability for AI projects.

According to the firm, this partnership would also make it possible for technical teams to collaborate on the fundamental tasks involved in creating high-quality datasets and training massive models for Indian languages.

“Our collaboration with Soket AI Labs to democratize AI innovation in India makes us very happy.” Pragna-1B, which was developed on Google Cloud, represents a groundbreaking advancement in Indian language technology and provides businesses with improved scalability and efficiency, according to Bikram Singh Bedi, Vice President and Country Managing Director, Google Cloud India.

Since its founding in 2019, Soket has changed its focus from being a decentralized data exchange for smart cities to an artificial intelligence research company.

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