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The smartphone has become the playground for new AI and generative AI features.

Apple made a significant push last year with Apple Intelligence, featuring tools like Image Playground, which allows you to create images from scratch, and Writing Tools that can rewrite and summarize text. On the latest iPhone 17 running iOS 26, machine intelligence powers the new live translation features in calls and messages. Google has many of the same features on Android; the latest Pixel 10 phones can generate a version of your voice for use in real-time language translations on calls.

As WIRED’s resident smartphone reviewer, I’ve tested all of these phones and their hyped-up features. Very few of these capabilities have really felt like a practical, useful feature designed to make everyday life easier—something I could even see my parents using. That’s what AI is supposed to do, right?

That’s until I tried Google’s new Ask Photos conversational editing feature in Google Photos which first debuted on the Pixel 10 phones and is now available on Android devices that can support it. The feature lets you type or speak out the visual edits you want to see in your photos without fumbling with menus and sliders. Most people have no idea how powerful the software on their phones already is, and so by being able to access all the editing tools that are available and use them to execute your desired task, this feature not only gives you the results you want in a nearly frictionless way, but it also helps you better understand what your smartphone is capable of.

Speak Your Mind

The idea of talking to a computer and having it complete tasks for you has been around for decades. Hollywood has its own idea of what this looks like (HAL 9000 in 2001: A Space Odyssey is perhaps the most iconic—and dark—depiction) but researchers have another.

Old physics wisdom can get comically simple. Take, for instance, the idea that bigger is generally better for complex science observatories. But there’s another one that researchers unknowingly gloss over, despite its impressive success rate: When a rule can’t be broken, don’t fight it. Just go around.

In a Science Advances paper published today, physicists did just that. The researchers found a way to sidestep Heisenberg’s uncertainty principle—a monumental rule dictating the elusiveness of quantum particles—to arrive at a “Goldilocks Zone” for uncertainty that allows scientists to extract only the most relevant information from a quantum system. This practical approach could greatly benefit future advances in quantum sensing for navigation, medicine, or astronomy, according to the researchers.

“We really exploit this concept of moving the uncertainty around,” Christophe Valahu, study lead author and a physicist at the University of Sydney in Australia, told Gizmodo during a video call.

If a particle was on a ruler, the new approach wouldn’t be measuring its exact location or momentum, Valahu explained. Instead, the idea is to measure something called the particle’s modular position and momentum, which are “different variables that give very much the same kind of information,” he said.

Skirting around Heisenberg

The Heisenberg uncertainty principle, introduced by the eponymous physicist in 1927, dictates that it is impossible to precisely lock down both metrics—location and momentum—at the same time. Simply put, there is a trade-off between the two that emerges as a fundamental behavior of measurements in quantum mechanics.

The new approach essentially “redistributes uncertainty in a way that benefits us,” Valahu said. It sacrifices “larger-scale, global” information—the particle’s actual position and momentum—for a sharper picture of tiny changes in a particle’s position and momentum. The latter information would be much more relevant for quantum sensing, which depends on quantum mechanical rules to detect and track tiny signals.

A quantum marriage

To validate this idea, the team recruited quantum computing experts to develop a protocol based on its approach and a 2017 paper outlining a similar strategy. In the end, the researchers arrived at an “engineered quantum system” inspired by both quantum sensing and quantum computing, according to Valahu.

“Quantum computing and quantum sensing are two sides of the same coin,” Valahu said. “One of them is trying to eliminate noise; the other one is trying to measure the noise or a signal. In theory, the better you can measure signal, the better you can correct for noise as well. So they often work hand-in-hand.”

Specifically, they wanted to see if the new sensing technique could help the researchers distinguish tiny signals among the error-inducing noise in a quantum computer. To their delight, they successfully measured the modular position and momentum of a trapped ion inside the quantum computer.

“It’s a very fundamentally different way of looking at quantum sensing—using what were traditionally quantum error-correcting codes now for quantum sensing,” Valahu said. “We think this is an enabling technology [that may] spawn more metrological technologies [and transform] how we do current sensing. By “metrological technologies,” Valahu is referring to the scientific study of measurement and the various tools used to take precise measurements.

The literature on quantum technology is growing at astonishing speeds. It’s a great time to explore how different fields can come together to create innovative solutions, Valahu said. Many opportunities are appearing, and it’s hard to focus on a single one—but there’s little doubt we’re living at an exciting time for all things quantum.

Space missions in the future could travel to Mars, asteroids and the outer solar system by riding on nuclear-powered rockets, thanks to a new design that utilizes energy from the nuclear fission of liquid uranium to heat propellant.

The exciting potential of the new technology, which is called a centrifugal nuclear thermal rocket (CNTR), can be neatly summed up by its specific impulse, which describes how efficient a rocket is at generating thrust. In principle, a CNTR rocket can double the specific impulse provided by previous nuclear thermal rocket designs dating back to the 1950s (and still being worked on by NASA and DARPA today) as well as quadruple that which can be achieved by chemical rockets.

Although no nuclear-powered rocket has ever flown, space agencies around the world are increasingly looking at nuclear propulsion as a means of speeding up interplanetary voyages.

"The longer you are in space, the more susceptible you are to all types of health risks," Dean Wang of Ohio State University, who is one of the authors of a new NASA-funded study into CNTR, said in a statement. "So if we can make that any shorter, it’d be very beneficial."

Traditional nuclear thermal rockets use solid uranium fuel in fission reactions that heat a liquid hydrogen propellant to the point where it can expand through a nozzle at high enough velocity to generate thrust. CNTR, on the other hand, features liquid uranium in a rotating cylinder (hence, "centrifugal") that maximizes the fission reaction, boosting the engine’s efficiency.

"In recent years, there has been quite an increase in interest in nuclear thermal propulsion technology as we contemplate returning humans to the moon and working in cis-lunar space," Wang said. "But beyond it, a new system is needed, as traditional chemical engines may not be feasible."

The CNTR technology would theoretically take spacecraft farther on less fuel, enabling missions to zip between Earth and the moon or perform crewed round-trips to Mars that take just 420 days as opposed to two-and-a-half to three years, the timeframe offered by chemical rockets. Voyages to the outer solar system could be completed more quickly, and because these nuclear rockets allow for a greater velocity than their chemical counterparts, they can follow faster trajectories that are typically out of the question for the latter.

Hydrogen also need not be the only form of propellant. A range of materials could be used, some of which could be extracted from asteroids, comets and Kuiper Belt objects during the journey, again enabling missions to voyage very far.

Although CNTR currently exists only on paper, Wang’s team is aiming for the concept to reach design readiness in the next five years. If it’s successful, missions from around the middle of this century onwards could be getting around the solar system much faster and more safely, without the explosive risks of chemical rockets.

The use of nuclear power in space has been mixed. Many long-term spacecraft, such as the Mars rovers Curiosity and Perseverance, use radioisotope thermoelectric generators (RTGs) to provide power. Recently NASA has spoken, controversially, about placing a nuclear reactor on the moon. With regards to rockets, scientists in the 1950s explored a much more explosive possibility: driving a spacecraft forward by detonating a sequence of nuclear explosions behind it and riding the propulsive blast waves. Most notable was Project Orion, which was a concept study led by physicists Freeman Dyson and Ted Taylor and funded by the U.S. Air Force, DARPA and NASA. Then, in the 1970s, researchers associated with the British Interplanetary Society produced a comprehensive design study called Project Daedalus, which envisioned a nuclear fusion-powered engine that could reach 12% of the speed of light and reach the nearest stars in half a century.

Evidently, as we’re still mostly stuck on Earth, nothing ever came from these nuclear-powered design studies. Although it’s not on the same scale as those overly ambitious projects, hopefully CNTR could be the breakthrough that spaceflight needs to become more routine and to reach new frontiers.

A paper describing CNTR was published in the September 2025 edition of the journal Acta Astronautica.

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The recent discovery of a sprawling SIM farm operation in the New York City area has revealed how these facilities, typically used by cybercriminals to flood phones with spam calls and texts, have grown large enough that the US government is warning it could have been used not just for crime, but large-scale disruption of critical infrastructure.