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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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Microsoft Expands Copilot Voice and Think Deeper

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Microsoft Expands Copilot Voice and Think Deeper

Microsoft is taking a major step forward by offering unlimited access to Copilot Voice and Think Deeper, marking two years since the AI-powered Copilot was first integrated into Bing search. This update comes shortly after the tech giant revamped its Copilot Pro subscription and bundled advanced AI features into Microsoft 365.

What’s Changing?

Microsoft remains committed to its $20 per month Copilot Pro plan, ensuring that subscribers continue to enjoy premium benefits. According to the company, Copilot Pro users will receive:

  • Preferred access to the latest AI models during peak hours.
  • Early access to experimental AI features, with more updates expected soon.
  • Extended use of Copilot within popular Microsoft 365 apps like Word, Excel, and PowerPoint.

The Impact on Users

This move signals Microsoft’s dedication to enhancing AI-driven productivity tools. By expanding access to Copilot’s powerful features, users can expect improved efficiency, smarter assistance, and seamless integration across Microsoft’s ecosystem.

As AI technology continues to evolve, Microsoft is positioning itself at the forefront of innovation, ensuring both casual users and professionals can leverage the best AI tools available.

Stay tuned for further updates as Microsoft rolls out more enhancements to its AI offerings.

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Google Launches Free AI Coding Tool for Individual Developers

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Google Launches Free AI Coding Tool for Individual Developers

Google has introduced a free version of Gemini Code Assistant, its AI-powered coding assistant, for solo developers worldwide. The tool, previously available only to enterprise users, is now in public preview, making advanced AI-assisted coding accessible to students, freelancers, hobbyists, and startups.

More Features, Fewer Limits

Unlike competing tools such as GitHub Copilot, which limits free users to 2,000 code completions per month, Google is offering up to 180,000 code completions—a significantly higher cap designed to accommodate even the most active developers.

“Now anyone can easily learn, generate code snippets, debug, and modify applications without switching between multiple windows,” said Ryan J. Salva, Google’s senior director of product management.

AI-Powered Coding Assistance

Gemini Code Assist for individuals is powered by Google’s Gemini 2.0 AI model and offers:
Auto-completion of code while typing
Generation of entire code blocks based on prompts
Debugging assistance via an interactive chatbot

The tool integrates with popular developer environments like Visual Studio Code, GitHub, and JetBrains, supporting a wide range of programming languages. Developers can use natural language prompts, such as:
Create an HTML form with fields for name, email, and message, plus a submit button.”

With support for 38 programming languages and a 128,000-token memory for processing complex prompts, Gemini Code Assist provides a robust AI-driven coding experience.

Enterprise Features Still Require a Subscription

While the free tier is generous, advanced features like productivity analytics, Google Cloud integrations, and custom AI tuning remain exclusive to paid Standard and Enterprise plans.

With this move, Google aims to compete more aggressively in the AI coding assistant market, offering developers a powerful and unrestricted alternative to existing tools.

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Elon Musk Unveils Grok-3: A Game-Changing AI Chatbot to Rival ChatGPT

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Elon Musk Unveils Grok-3: A Game-Changing AI Chatbot to Rival ChatGPT

Elon Musk’s artificial intelligence company xAI has unveiled its latest chatbot, Grok-3, which aims to compete with leading AI models such as OpenAI’s ChatGPT and China’s DeepSeek. Grok-3 is now available to Premium+ subscribers on Musk’s social media platform x (formerly Twitter) and is also available through xAI’s mobile app and the new SuperGrok subscription tier on Grok.com.

Advanced capabilities and performance

Grok-3 has ten times the computing power of its predecessor, Grok-2. Initial tests show that Grok-3 outperforms models from OpenAI, Google, and DeepSeek, particularly in areas such as math, science, and coding. The chatbot features advanced reasoning features capable of decomposing complex questions into manageable tasks. Users can interact with Grok-3 in two different ways: “Think,” which performs step-by-step reasoning, and “Big Brain,” which is designed for more difficult tasks.

Strategic Investments and Infrastructure

To support the development of Grok-3, xAI has made major investments in its supercomputer cluster, Colossus, which is currently the largest globally. This infrastructure underscores the company’s commitment to advancing AI technology and maintaining a competitive edge in the industry.

New Offerings and Future Plans

Along with Grok-3, xAI has also introduced a logic-based chatbot called DeepSearch, designed to enhance research, brainstorming, and data analysis tasks. This tool aims to provide users with more insightful and relevant information. Looking to the future, xAI plans to release Grok-2 as an open-source model, encouraging community participation and further development. Additionally, upcoming improvements for Grok-3 include a synthesized voice feature, which aims to improve user interaction and accessibility.

Market position and competition

The launch of Grok-3 positions xAI as a major competitor in the AI ​​chatbot market, directly challenging established models from OpenAI and emerging competitors such as DeepSeek. While Grok-3’s performance claims are yet to be independently verified, early indications suggest it could have a significant impact on the AI ​​landscape. xAI is actively seeking $10 billion in investment from major companies, demonstrating its strong belief in their technological advancements and market potential.

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