Technologies

AT&T Is Using an Advanced Video Game Feature to Improve Your Phone Coverage

«Whatever Nvidia is doing for games, whatever Disney is doing … we are doing at a much bigger scale,» said AT&T’s Velin Kounev about using ray tracing to improve its network.

When you think of cellular networks, you probably envision radio towers and invisible data streams. But AT&T, by necessity, needs to see everything in between: buildings, trees and the multitude of obstacles that can interfere with wireless signals getting to your phone.

The cellular provider is turning to a key technology from gaming and computer graphics to get an accurate picture. AT&T Wireless Geo Modeler is a new system that uses ray tracing and AI to generate detailed representations of the areas covered by its network and improve connectivity. In doing so, AT&T says it can react to service interruptions quickly and also better predict how its network can be configured in response to large social events or during natural disasters.

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How ray tracing works in a cellular context

In computer graphics, ray tracing is a technique for rendering three-dimensional scenes. Software simulates light beams emanating from a virtual camera and calculates how the light affects objects and materials in the scene. Ray tracing is notable for rendering shadows and reflections, leading to more realistic-looking environments.

In the past, ray tracing was computationally challenging. Early examples, such as the original Toy Story movie, required rooms full of processing hardware and up to 24 hours to render a single frame of footage. The graphics processor in high-end smartphones can now render photorealistic, ray-traced scenes in games in real time.

According to Velin Kounev, lead inventive scientist at AT&T Labs, the technology’s cellular application works the same way. «Whatever Nvidia is doing for games, whatever Disney is doing… we are doing at a much bigger scale,» he said.

In the context of AT&T’s Geo Modeler, Kounev explained, radio propagation from cellular towers is high-frequency light that our eyes cannot see. The towers measure how the rays react to the surrounding environment, such as colliding with structures or reflecting off surfaces. That collected data is processed and analyzed by several internal AT&T systems and machine learning models to determine if changes or optimizations need to be made, in what AT&T calls «near scale time.»

Those changes can include everyday adjustments to the angle of nearby antennas or compensating for a tower that has gone offline during a natural disaster. Modifications can be deployed automatically in seconds or minutes, ideally in a way that doesn’t impact customers.

«We don’t want [customers] to notice,» said Jennifer Yates, assistant vice president of inventive science, network and service automation at AT&T Labs. «The network is self-healing [and] autonomous behind the scenes so they don’t have to think about it.»

The benefit can also be a technical challenge that you would never notice as an AT&T subscriber. «When you hit Lincoln Tunnel traffic at 5 o’clock in the afternoon and you can get your website loaded, that’s when we come in,» said Kounev. «We’re optimizing the network traffic … in rush hour, where you’re able to get your connection.»

Predicting where to deploy resources

Although day-to-day network optimization is one advantage of using the Geo Modeler, it’s also a tool for determining how and where the company should deploy resources during situations such as weather events. For instance, if a prominent tree is blown over during a storm, ray tracing can quickly build a new representation of how towers should compensate.

For large events like music festivals, where tens of thousands of phones are accessing the network or impending natural disasters, the technology can be used to predict upcoming changes that are needed; Kounev mentioned Geo Modeler was applied in April at the Coachella festival.

Kounev also explained that if a hurricane is coming, for example, knowing its estimated size and timing, «we can go in and within two minutes remove [within the model] the towers that we think are going to be affected, and then see what the network coverage is going to look like.» Knowing where to expect holes in the network allows AT&T to position resources, such as generators or mobile cellular towers, in place before the hurricane strikes.

Most predictive tools, said Kounev, rely on existing measurement data. «Because we use ray tracing, we can predict in places where there’s no measurement data.»

AT&T has been building the Geo Modeler for a year and has accumulated enough data from different use cases over that time to be confident about deploying it more broadly. Yates said that AT&T has performed extensive validation of data, comparing the modeler’s results with measurements in the field.

«Over the last year,» said Kounev, «we had to convince people that this thing can actually work in real time with the many tower stations they have.»

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.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

Technologies

Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

Technologies

Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.