Technologies
Honor’s Magic V5 Boasts On-Device Live AI Call Translation for Guaranteed Privacy
In an exclusive interview with CNET, Honor’s President of Product Fei Fang reveals how the V5’s AI model will allow for more speed, accuracy and privacy.
«Hola! ¿Hablas inglés?» I asked the woman who answered the phone in the Barcelona restaurant.
I was calling in a futile attempt to make a reservation for the CNET team dinner during Mobile World Congress this year. Unfortunately, I don’t know Spanish (I learned French and German at school). And as it turned out, she didn’t speak English either.
«No!» she said, and brusquely hung up.
What I needed in that moment was the kind of AI call translation feature that’s becoming increasingly prevalent on phones — including those made by Samsung and Google, and, starting next week, Honor.
When Honor unveils its Magic V5 foldable at a launch event on Aug. 28 in London, it will come with what the company is calling «the industry’s first on-device large speech model,» which will allow live AI call translation to take place on device, with no cloud processing.
Currently the phone supports six languages — English, Chinese, French, German, Italian and Spanish. For aforementioned reasons, I can’t test all of these, but I’ve already had a play around with the feature and can confirm it did a very effective job of translating my garbled messages into French. I only wish I’d had it available to me in Spain when I needed it.
The model Honor has deployed was designed by the company in collaboration with Shanghai Jiao Tong University, based on the open-source Whisper model, said Fei Fang, president of product at Honor in an interview. It’s been optimized for streaming speech recognition, automatic language detection and translation inference acceleration (that’s speed and efficiency, to you and I).
According to Fang, Honor’s user experience studies have shown that as long as translation occurs within 1.5 seconds, it doesn’t «induce waiting anxiety,» in anyone attempting to use AI call translation. As such, it’s made sure to keep the latency to within these parameters so you won’t get anxious waiting for the translation to kick in.
«We also work together with industry language experts to consistently and comprehensively evaluate the accuracy of our output,» she added. «The assessment is primarily based on five metrics: accuracy, logical coherence, readability, grammatical correctness and conciseness.»
In addition to Honor’s AI model, live translation is being powered by Qualcomm’s Snapdragon 8 Elite chip. The 8 Elite’s NPU allows multimodal generative AI applications to be integrated onto the device. Honor’s algorithms work together with the NPU to keep power consumption as low as possible while maintaining the required accuracy of the translations, said Christopher Patrick, SVP of mobile handsets at Qualcomm.
There are a number of benefits to having the AI model embedded on the Magic V5, but perhaps the most compelling is the privacy it guarantees. It means that everything is processed locally and your calls will therefore remain completely confidential. The fact that the model lives on device and you don’t need to download voice packages also reduces its storage needs.
Another benefit of running the model on the phone itself is «offline usability,» said Patrick. «All conversation information is stored directly on-device and users can access it anytime, anywhere, without network restrictions.»
The work Honor has done on AI call translation is set to be recognized at the upcoming Interspeech conference on speech science and tech. But already, Honor is thinking about how this use of AI can be used to enable other new and exciting features for the people who buy its phones.
«Beyond the essential user scenario of call translation, Honor’s on-device large speech model will also be deployed in scenarios such as face-to-face translation [and] AI subtitles,» said Fang. The process of developing the speech model has allowed Honor’s AI team to gain extensive experience of model optimization, which it will use to develop other AI applications, she added.
«Looking ahead, we will continue to expand capabilities in areas such as emotion recognition and health monitoring, further empowering voice interactions with your on-device AI assistant,» she said.
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.
-
Technologies3 года agoTech Companies Need to Be Held Accountable for Security, Experts Say
-
Technologies3 года agoBest Handheld Game Console in 2023
-
Technologies5 лет agoBlack Friday 2021: The best deals on TVs, headphones, kitchenware, and more
-
Technologies3 года agoTighten Up Your VR Game With the Best Head Straps for Quest 2
-
Technologies5 лет agoGoogle to require vaccinations as Silicon Valley rethinks return-to-office policies
-
Technologies5 лет agoVerum, Wickr and Threema: next generation secured messengers
-
Technologies4 года agoThe number of Сrypto Bank customers increased by 10% in five days
-
Technologies5 лет agoOlivia Harlan Dekker for Verum Messenger
