Technologies
IBM Quantum Computing Progress Edges Toward Eventual Utility
Osprey has 433 qubits, the fundamental data processing element inside these weird machines.
In a move that bodes well for quantum computing’s long-term prospects, IBM said Wednesday it’s built a new machine called Osprey with 433 qubits. Tripling the total number of data processing elements compared with last year significantly increases the computational power of the system.
IBM has been working steadily for years to make quantum computing a commercial success, competing against big companies like Google and Intel, earlier specialists like D-Wave and Rigetti Computing, and newer startups like Atom Computing and Pasqal. Quantum computing promises to conquer challenges out of reach of the conventional technology that powers smartwatches and supercomputers.
One of the most promising domains for quantum computing is materials science, where quantum chemistry simulations could improve solar panels, batteries and other devices that operate at the molecular level. But quantum computing fans also hope to bring new tools to AI, logistics, and finance. With a slowing Moore’s Law constraining conventional computing, that could mean important new progress.
It’ll take years more progress before quantum computers deliver on their revolutionary progress, but delivering on promised steps toward the ultimate goal is important. Without the progress, the billions of dollars of investment could dry up and a quantum winter could chill the industry.
IBM actually announced two new Osprey systems. The first is fully tested, said Jay Gambetta, vice president of IBM’s quantum computing work.
«It works. It’s alive. All the qubits are good,» Gambetta said. «It’s another confirmation of the road map as we build larger and larger devices.»
The second incorporates improvements made to Osprey’s predecessor, Eagle, that extends the lifespan of calculations. Quantum computers today are limited by «coherence» time, which governs how long finicky qubits can maintain their state and connections to each other.
The improvements to IBM’s quantum processor design reduces electronic noise that can derail calculations, roughly doubling coherence time to 200 millionths of a second. That’s long enough for hundreds of calculation steps.
New IBM customers include telecommunications giant Vodafone, which is investigating quantum-safe cryptography, and French bank Crédit Mutuel, which is looking into financial services applications, IBM said.
IBM’s supercomputers, like those of Google and Rigetti, are called superconducting quantum computers. They rely on very cold temperatures just a fraction of a degree above absolute zero and colder than space. And they’re housed in increasingly large and expensive cylindrical refrigerators.
To get signals in and out of the quantum computers through ever-colder refrigeration zones, IBM previously used loops of gleaming cables. Now it’s got a new method, though, ribbons of communication links that are more compact.
«We solved a bottleneck in scale,» Gambetta said.
More scaling is on the horizon. For 2023, IBM plans to build 1,121-qubit Condor. After that comes 1,386-qubit Flamingo in 2024 and 4,158-qubit Kookaburra in 2025.
Correction at 8:32 a.m. PT: The story misstated the temperature at which IBM’s computer operates. It runs at a fraction of a degree above absolute zero.
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.
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