Technologies

This Lip-Syncing Robot Face Could Help Future Bots Talk Like Us

If we’re going to live and work with humanoid robots, maybe they should talk like humans, too.

The slight unease that creeps up your spine when you see something that acts human but isn’t remains a big issue in robotics — especially for robots built to look and speak like us.

That peculiar feeling is called the uncanny valley. One way roboticists work to bridge that valley is by matching a robot’s lip movements with its voice. On Wednesday, Columbia University announced research that delves into how a new wave of robot faces can speak more realistically.

Hod Lipson, a Columbia engineering professor who worked on the research, told CNET that a main reason why robots are «uncanny» is they don’t move their lips like us when they talk. «We are aiming to solve this problem, which has been neglected in robotics,» Lipson said.

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This research comes as hype has been spiking around robots designed for use at home and work. At CES 2026 last week, for instance, CNET saw a range of robots designed to interact with people. Everything from the latest Boston Dynamics Atlas robot to household robots like those that fold laundry, and even a turtle-shaped bot designed for environmental research, made appearances at the world’s biggest tech show. If CES is any indication, 2026 could be a big year for consumer robotics.

Central among those are humanoid robots that come with bodies, faces and synthetic skin that mimics our own. The CES cohort included human-looking robots from Realbotix that could work information booths or provide comfort to humans, as well as a robot from Lovense designed for relationships that’s outfitted with AI to «remember» intimate conversations.

But a split-second mismatch between lip movement and speech can mean the difference between a machine that you can form an emotional attachment to and one that’s little more than an unsettling animatronic.

So if people are going to accept humanoid robots «living» among us in everyday life, it’s probably better if they don’t make us mildly uncomfortable whenever they talk.

Lip-syncing robots

To make robots with human faces that speak like us, the robot’s lips must be carefully synced to the audio of its speech. The Columbia research team developed a technique that helps robot mouths move like ours do by focusing on how language sounds.

First, the team built a humanoid robot face with a mouth that can talk — and sing — in a way that reduces the uncanny valley effect. The robot face, made with silicone skin, has magnet connectors for complex lip movements. This enables the face to form lip shapes that cover 24 consonants and 16 vowels.

To match the lip movements with speech, they designed a «learning pipeline» to collect visual data from lip movements. An AI model uses this data for training, then generates reference points for motor commands. Next, a «facial action transformer» turns the motor commands into mouth motions that synchronize with audio.

Using this framework, the robot face, called Emo, was able to «speak» in multiple languages, including languages that weren’t part of the training, such as French, Chinese and Arabic. The trick is that the framework analyzes the sounds of language, not the meaning behind the sound.

«We avoided the language-specific problem by training a model that goes directly from audio to lip motion,» Lipson said. «There is no notion of language.»

Why does a robot even need a face and lips?

Humans have been working alongside robots for a long time but they have always looked like machines, not people — the disembodied and very mechanical-looking arms on assembly lines or the chunky disc that is a robot vacuum scooting around our kitchen floors.

However, as the AI language models behind chatbots have become more prevalent, tech companies are working hard to teach robots how to communicate with us using language in real time.

There’s a whole field of study called human-robot interaction that examines how robots should coexist with humans, physically and socially. In 2024, a study out of Berlin that used 157 participants found that a robot’s ability to express empathy and emotion through verbal communication is critical for interacting effectively with humans. And another 2024 study from Italy found that active speech was important for collaboration between humans and robots when working on complex tasks like assembly.

If we’re going to rely on robots at home and at work, we need to be able to converse with them like we do with each other. In the future, Lipson says, research with lip-syncing robots would be useful for any kind of humanoid robot that needs to interact with people.

It’s also easy to imagine a future where humanoid robots are identical to us. Lipson says careful design could ensure that people understand they’re talking to a robot, not a person. One example would be requiring humanoid robots to have blue skin, Lipson says, «so that they cannot be mistaken for a human.»

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