Technologies

How Team USA’s Olympic Skiers and Snowboarders Got an Edge From Google AI

Google engineers hit the slopes with Team USA’s skiers and snowboarders to build a custom AI training tool.

Team USA’s skiers and snowboarders are going home with some new hardware, including a few gold medals, from the 2026 Olympics. Along with the years of hard work that go into being an Olympic athlete, this year’s crew had an extra edge in their training thanks to a custom AI tool from Google Cloud.

US Ski and Snowboard, the governing body for the US national teams, oversees the training of the best skiers and snowboarders in the country to prepare them for big events, such as national championships and the Olympics. The organization partnered with Google Cloud to build an AI tool to offer more insight into how athletes are training and performing on the slopes.

Video review is a big part of winter sports training. A coach will literally stand on the sidelines recording an athlete’s run, then review the footage with them afterward to spot errors. But this process is somewhat dated, Anouk Patty, chief of sport at US Ski and Snowboard, told me. That’s where Google came in, bringing new AI-powered data insights to the training process.

Google Cloud engineers hit the slopes with the skiers and snowboarders to understand how to build an actually useful AI model for athletic training. They used video footage as the base of the currently unnamed AI tool. Gemini did a frame-by-frame analysis of the video, which was then fed into spatial intelligence models from Google DeepMind. Those models were able to take the 2D rendering of the athlete from the video and transform it into a 3D skeleton of an athlete as they contort and twist on runs.

Final touches from Gemini help the AI tool analyze the physics in the pixels, according to Ravi Rajamani, global head of Google’s AI Blackbelt team. which worked on the project. Coaches and athletes told the engineers the specific metrics they wanted to track — speed, rotation, trajectory — and the Google engineers coded the model to make it easy to monitor them and compare between different videos. There’s also a chat interface to ask Gemini questions about performance.

«From just a video, we are actually able to recreate it in 3D, so you don’t need expensive equipment, [like] sensors, that get in the way of an athlete performing,» Rajamani said.

Coaches are undeniably the experts on the mountain, but the AI can act as a kind of gut check. The data can help confirm or deny what coaches are seeing and give them extra insight into the specifics of each athlete’s performance. It can catch things that humans would struggle to see with the naked eye or in poor video quality, like where an athlete was looking while doing a trick and the exact speed and angle of a rotation.

«It’s data that they wouldn’t otherwise have,» Patty said. The 3D skeleton is especially helpful because it makes it easier to see movement obscured by the puffy jackets and pants athletes wear, she said.

For elite athletes in skiing and snowboarding, making small adjustments can mean the difference between a gold medal and no medal at all. Technological advances in training are meant to help athletes get every available tool for improvement.

«You’re always trying to find that 1% that can make the difference for an athlete to get them on the podium or to win,» Patty said. It can also democratize coaching. «It’s a way for every coach who’s out there in a club working with young athletes to have that level of understanding of what an athlete should do that the national team athletes have.»

For Google, this purpose-built AI tool is «the tip of the iceberg,» Rajamani said. There are a lot of potential future use cases, including expanding the base model to be customized to other sports. It also lays the foundation for work in sports medicine, physical therapy, robotics and ergonomics — disciplines where understanding body positioning is important. But for now, there’s satisfaction in knowing the AI was built to actually help real athletes.

«This was not a case of tech engineers building something in the lab and handing it over,» Rajamani said. «This is a real-world problem that we are solving. For us, the motivation was building a tool that provides a true competitive advantage for our athletes.»

Technologies

Verum Messenger: Don’t follow the future. Define it

In a world where information defines influence, Verum Messenger is building a new architecture of digital communication — intelligent, secure, and ready for tomorrow. Here, technology serves not limitations, but possibilities.

Not being part of change. Leading it. Verum Messenger — the future that speaks first.

Technologies

Verum Finance: Stop Spending Months Opening a Bank Account

Stop spending months trying to open a bank account.

Document submissions.
Checks.
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And all of that — just for a regular card.

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✔ A virtual card
✔ Instant transfers between users
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Open it — and use it.

The future of finance and communication is already here.
Verum — when freedom matters more than banking rules.

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
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