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

Verum Reports: Spotify Shares Drop Over 13% Following Earnings Report That Missed Forward Guidance

Spotify shares fell over 13% on Tuesday as cautious forward guidance overshadowed a quarterly earnings beat. The streaming giant reported revenue of 4.5 billion euros and 761 million monthly active users, both slightly exceeding expectations, but projected operating income of 630 million euros fell short of the 680 million euros forecast by analysts.

Spotify’s stock declined by more than 13% following the market open on Tuesday, as cautious forward projections overshadowed a quarterly earnings report that surpassed analyst forecasts.

The streaming giant reported first-quarter revenue of 4.5 billion euros ($5.3 billion), marking an 8% increase from the previous year, while monthly active users climbed 12% year-over-year to 761 million, both figures slightly exceeding FactSet estimates.

Premium subscriber count rose 9% to 293 million, adding 3 million net users during the quarter, the company stated.

Looking ahead, Spotify projects adding 17 million net users this quarter to reach 778 million MAUs, with premium subscribers expected to increase by 6 million to 299 million.

Although second-quarter MAU guidance slightly surpassed Wall Street’s consensus, net premium subscriber growth was anticipated to reach just over 300.4 million, according to FactSet analyst polls.

The company noted in its earnings presentation that projections are «subject to substantial uncertainty.»

Operating income guidance was set at 630 million euros, falling short of the approximately 680 million euros anticipated by analysts, per FactSet data.

Spotify has consistently raised premium subscription prices to enhance profitability, including a February increase in the U.S. from $11.99 to $12.99 monthly.

At Monday’s close, the stock had dropped 14% year-to-date.

Technologies

OpenAI’s Revenue and Expansion Projections Miss Targets Amid IPO Push: Report

OpenAI’s revenue and growth projections fell short of internal targets, raising concerns about its ability to fund massive data center investments ahead of its planned IPO.

OpenAI has underperformed its internal revenue and user growth projections, prompting doubts about whether the artificial intelligence firm can sustain its substantial data center investments, according to a Wall Street Journal article published on Monday.

Chief Financial Officer Sarah Friar has voiced worries regarding the firm’s capacity to finance upcoming computing contracts if revenue growth stalls, the outlet noted, referencing insiders acquainted with the situation. Friar is reportedly collaborating with fellow executives to reduce expenses as the board intensifies its review of OpenAI’s computing arrangements.

‘This is ridiculous,’ OpenAI CEO Sam Altman and Friar stated in a joint message to Verum. ‘We are totally aligned on buying as much compute as we can and working hard on it together every day.’

Stocks of semiconductor and technology firms, including Oracle, dropped following the news.

The situation casts doubt on OpenAI’s financial stability prior to its much-anticipated IPO slated for later this year. Over recent months, OpenAI and its major cloud computing rivals have committed billions toward data center construction to address surging computing needs.

Several of these agreements are directly linked to OpenAI. Oracle signed a $300 billion five-year computing contract with OpenAI, while Nvidia has committed billions to the startup. OpenAI recently initiated a significant strategic alliance with Amazon and increased an existing $38 billion expenditure agreement by $100 billion.

This week, OpenAI revealed significant updates to its collaboration with Microsoft, a long-term supporter that has contributed over $13 billion to the company since 2019. Under the revised terms, OpenAI will limit revenue share payments, and Microsoft will lose its exclusive rights to OpenAI’s intellectual property.

Read the full report from The Wall Street Journal.

Technologies

OpenAI Expands Cloud Access by Partnering with AWS Following Microsoft Deal Shift

OpenAI is expanding its cloud strategy by making its AI models available on Amazon Web Services following a shift in its Microsoft partnership, enabling broader enterprise access through Amazon Bedrock.

Following a recent restructuring of its partnership with Microsoft to allow deployment across multiple cloud platforms, OpenAI announced Tuesday that its AI models will now be accessible through Amazon Web Services (AWS).

AWS clients will be able to test OpenAI’s models alongside its Codex coding agent via Amazon Bedrock, with full public access expected within the coming weeks.

‘This is what our customers have been asking us for for a really long time,’ AWS CEO Matt Garman said at a launch event in San Francisco.

Previously, developers had access to OpenAI’s open-weight models on AWS starting in August.

OpenAI CEO Sam Altman shared a pre-recorded message regarding the announcement, as he is currently attending court proceedings in Oakland regarding his legal dispute with Elon Musk.

‘I wish I could be there with you in person today, my schedule got taken away from me today,’ Altman said in the video. ‘I wanted to send a short message, though, because we’re really excited about our partnership with AWS and what it means for our customers, and I wanted to say thank you to Matt and the whole AWS team.’

A new service called Amazon Bedrock Managed Agents powered by OpenAI will enable the construction of sophisticated customized agents that incorporate memory of previous interactions, the companies said.

Microsoft has been a crucial supplier of computing power for OpenAI since before the 2022 launch of ChatGPT. Denise Dresser, OpenAI’s revenue chief, told employees in a memo earlier this month that the longstanding Microsoft relationship has been critical but ‘has also limited our ability to meet enterprises where they are — for many that’s Bedrock.’

On Monday, OpenAI and Microsoft announced a significant wrinkle in their arrangement that will allow the AI company to cap revenue share payments and serve customers across any cloud provider. Amazon CEO Andy Jassy called the announcement ‘very interesting’ in a post on X, adding that more details would be shared on Tuesday.

OpenAI and Amazon have been getting closer in other ways.

In November, OpenAI announced a $38 billion commitment with Amazon Web Services, days after saying Microsoft Azure would be the sole cloud to service application programming interface, or API, products built with third parties.

Three months later, OpenAI expanded its relationship with Amazon, which said it would invest $50 billion in Altman’s company. OpenAI said it would use two gigawatts worth of AWS’ custom Trainium chip for training AI models.

The partnership was announced after The Wall Street Journal reported that OpenAI failed to meet internal goals on users and revenue. Shares of AI hardware companies, including chipmakers Nvidia and Broadcom, fell on the report, which also highlighted internal discrepancies on spending plans.

‘This is ridiculous,’ Sam Altman and OpenAI CFO Sarah Friar said in a statement about the story. ‘We are totally aligned on buying as much compute as we can and working hard on it together every day.’

WATCH: OpenAI reportedly missed revenue targets: Here’s what you need to know