Tech
Low-power ‘microwave brain’ on a chip computes on both ultrafast data and wireless signals

Cornell University researchers have developed a low-power microchip they call a “microwave brain,” the first processor to compute on both ultrafast data signals and wireless communication signals by harnessing the physics of microwaves.
Detailed in the journal Nature Electronics, the processor is the first true microwave neural network and is fully integrated on a silicon microchip. It performs real-time frequency domain computation for tasks like radio signal decoding, radar target tracking and digital data processing, all while consuming less than 200 milliwatts of power.
“Because it’s able to distort in a programmable way across a wide band of frequencies instantaneously, it can be repurposed for several computing tasks,” said lead author Bal Govind, a doctoral student who conducted the research with Maxwell Anderson, also a doctoral student. “It bypasses a large number of signal processing steps that digital computers normally have to do.”
That capability is enabled by the chip’s design as a neural network, a computer system modeled on the brain, using interconnected modes produced in tunable waveguides.
This allows it to recognize patterns and learn from data. But unlike traditional neural networks that rely on digital operations and step-by-step instructions timed by a clock, this network uses analog, nonlinear behavior in the microwave regime, allowing it to handle data streams in the tens of gigahertz—much faster than most digital chips.
“Bal threw away a lot of conventional circuit design to achieve this,” said Alyssa Apsel, professor of engineering, who was co-senior author with Peter McMahon, associate professor of applied and engineering physics.
“Instead of trying to mimic the structure of digital neural networks exactly, he created something that looks more like a controlled mush of frequency behaviors that can ultimately give you high-performance computation.”
The chip can perform both low-level logic functions and complex tasks like identifying bit sequences or counting binary values in high-speed data. It achieved at or above 88% accuracy on multiple classification tasks involving wireless signal types, comparable to digital neural networks but with a fraction of the power and size.
“In traditional digital systems, as tasks get more complex, you need more circuitry, more power and more error correction to maintain accuracy,” Govind said. “But with our probabilistic approach, we’re able to maintain high accuracy on both simple and complex computations, without that added overhead.”
The chip’s extreme sensitivity to inputs makes it well-suited for hardware security applications like sensing anomalies in wireless communications across multiple bands of microwave frequencies, according to the researchers.
“We also think that if we reduce the power consumption more, we can deploy it to applications like edge computing,” Apsel said. “You could deploy it on a smartwatch or a cellphone and build native models on your smart device instead of having to depend on a cloud server for everything.”
Though the chip is still experimental, the researchers are optimistic about its scalability. They are experimenting with ways to improve its accuracy and integrate it into existing microwave and digital processing platforms.
The work emerged from an exploratory effort within a larger project supported by the Defense Advanced Research Projects Agency and the Cornell NanoScale Science and Technology Facility.
More information:
An integrated microwave neural network for broadband computation and communication, Nature Electronics (2025). DOI: 10.1038/s41928-025-01422-1
Citation:
Low-power ‘microwave brain’ on a chip computes on both ultrafast data and wireless signals (2025, August 14)
retrieved 14 August 2025
from https://techxplore.com/news/2025-08-power-microwave-brain-chip-ultrafast.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.
Tech
Want to Start a Website? These Are the Best Website Builders

Top Website Builders
Publishing a website is still more complicated than it has any right to be, but the best website builders streamline the process. Instead of juggling a bunch of files on a server and learning the ins and outs of networking, website builders do exactly what’s written on the tin. Piece by piece, using a drag-and-drop interface, you can design your website the way you want with immediate feedback, rather than spending time buried in code and hoping it comes out on the other end.
There are dozens of website builders, and most of them range from decent to straight-up bad. Any web host with a bit of ambition has a website builder floating around, even if it’s slow, clunky, and lacking features. I focused on finding the best tools for building your website that go beyond just an add-on, and these are my favorites. If you’re after something simpler than a full-blown website, check out our list of the Best Portfolio Websites.
Table of Contents
Best Website Builder for Most
You’ve heard of Squarespace over and over again, I’m sure, and that’s not an accident. It’s an inviting website builder that made a name for itself with bold, striking templates. Beneath the veneer of attractive, but seemingly simple, websites, you’ll find one of the most capable website builders on the market. That balance of power and usability is what sets Squarespace apart.
It feels like a creative tool. Where other website builders lag and stutter to get a new element on your page, Squarespace feels fluid. Your dashboard gives you quick access to edit your site, and around every corner, Squarespace feels designed so you never have to look up a tutorial. I started a simple photography website, and within an hour, I had a custom course page set up, an appointment schedule with automated confirmation emails, and services (with pricing and the ability to accept payments) configured.
Squarespace isn’t cheap, but it also doesn’t meddle in restrictive, low-cost plans. Even on the Basic plan, you have access to ecommerce tools and space for multiple contributors.
Squarespace Pricing and Plans
Best Cheap Website Builder
Hostinger is better known as a web hosting provider, but it has a surprisingly robust website builder that you can use on its own or for free as part of a hosting package. You don’t get the same world-class template design and dense feature-set of a more expensive builder like Squarespace, but that’s OK. Hostinger’s website builder will run you just a few bucks a month, and based on my testing, it feels heavily angled toward newcomers.
You sacrifice some power for convenience, but there’s an awful lot you can accomplish with Hostinger. Integrations with PayPal, Stripe, and Square allow you to quickly set up e-commerce. Add-ons with WhatsApp give you live chat capabilities, and Printful support means you can sell print-on-demand merchandise. And, if you outgrow the website builder, Hostinger allows you to export your website’s content to WordPress.
Where Hostinger wins for me is through its AI tools. Just about every website builder these days has AI integrated in some way, but it’s around every corner at Hostinger. You need to pay extra for some of these AI features—the logo generator, for example, requires credits—but they give you a great starting point for mocking up the look, feel, and tone of your website.
Hostinger Pricing and Plans
Best for Small Businesses
Wix is undoubtedly the biggest competitor to Squarespace, and I had a hard time putting one above the other. Ultimately, Wix ended up in the backseat due to higher prices and a slightly less intuitive interface. That’s partly because of how powerful Wix is. Rather than corral you in an elegant (if restrictive) website-building workflow, Wix gives you a ton of options.
First, templates. You get a few hundred elsewhere, but Wix offers over 2,000 templates. At the time of writing, there are 223 pages of them on Wix’s website. They aren’t all winners, but I was able to mock up a quick photography portfolio website within a few minutes by browsing the templates and uploading a few photos.
Tech
A New Algorithm Makes It Faster to Find the Shortest Paths

The original version of this story appeared in Quanta Magazine.
If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost. You may end up spending too much time putting the pieces in order.
This dilemma is especially relevant to one of the most iconic problems in computer science: finding the shortest path from a specific starting point in a network to every other point. It’s like a souped-up version of a problem you need to solve each time you move: learning the best route from your new home to work, the gym, and the supermarket.
“Shortest paths is a beautiful problem that anyone in the world can relate to,” said Mikkel Thorup, a computer scientist at the University of Copenhagen.
Intuitively, it should be easiest to find the shortest path to nearby destinations. So if you want to design the fastest possible algorithm for the shortest-paths problem, it seems reasonable to start by finding the closest point, then the next-closest, and so on. But to do that, you need to repeatedly figure out which point is closest. You’ll sort the points by distance as you go. There’s a fundamental speed limit for any algorithm that follows this approach: You can’t go any faster than the time it takes to sort.
Forty years ago, researchers designing shortest-paths algorithms ran up against this “sorting barrier.” Now, a team of researchers has devised a new algorithm that breaks it. It doesn’t sort, and it runs faster than any algorithm that does.
“The authors were audacious in thinking they could break this barrier,” said Robert Tarjan, a computer scientist at Princeton University. “It’s an amazing result.”
The Frontier of Knowledge
To analyze the shortest-paths problem mathematically, researchers use the language of graphs—networks of points, or nodes, connected by lines. Each link between nodes is labeled with a number called its weight, which can represent the length of that segment or the time needed to traverse it. There are usually many routes between any two nodes, and the shortest is the one whose weights add up to the smallest number. Given a graph and a specific “source” node, an algorithm’s goal is to find the shortest path to every other node.
The most famous shortest-paths algorithm, devised by the pioneering computer scientist Edsger Dijkstra in 1956, starts at the source and works outward step by step. It’s an effective approach, because knowing the shortest path to nearby nodes can help you find the shortest paths to more distant ones. But because the end result is a sorted list of shortest paths, the sorting barrier sets a fundamental limit on how fast the algorithm can run.
Tech
Australian airline Qantas says millions of customers’ data leaked online

Australian airline Qantas said Sunday that data from 5.7 million customers stolen in a major cyberattack this year had been shared online, part of a leak affecting dozens of firms.
Disney, Google, IKEA, Toyota, McDonald’s and fellow airlines Air France and KLM are also reported to have had data stolen in a cyberattack targeting software firm Salesforce, with the information now being held to ransom.
Salesforce said this month it was “aware of recent extortion attempts by threat actors.”
Qantas confirmed in July that hackers had targeted one of its customer contact centers, breaching a computer system used by a third party now known to have been Salesforce.
They secured access to sensitive information such as customer names, email addresses, phone numbers and birthdays, the blue-chip Australian company said.
No further breaches have taken place since and the company is cooperating with Australian security services.
“Qantas is one of a number of companies globally that has had data released by cyber criminals following the airline’s cyber incident in early July, where customer data was stolen via a third party platform,” the company said in a statement.
Most of the data leaked was names, email addresses and frequent flyer details, the firm said.
But some of the data included customers’ “business or home address, date of birth, phone number, gender and meal preferences.”
“No credit card details, personal financial information or passport details were impacted,” Qantas said.
It also said it had obtained a legal injunction with the Supreme Court of New South Wales, where the firm is headquartered, to prevent the stolen data being “accessed, viewed, released, used, transmitted or published.”
Cybersecurity expert Troy Hunt told AFP that would do little to prevent the spread of the data.
“It’s frankly ridiculous,” he said.
“It obviously doesn’t stop criminals at all anywhere, and it also really doesn’t have any effect on people outside of Australia.”
Hackers ‘laying siege’
In response to questions about the leak, tech giant Google pointed AFP to an August statement in which it said one of its corporate Salesforce servers had been targeted. It did not confirm if the data had been leaked.
“Google responded to the activity, performed an impact analysis and has completed email notifications to the potentially affected businesses,” Melanie Lombardi, head of Google Cloud Security Communications, said.
Cybersecurity analysts have linked the hack to individuals with ties to an alliance of cybercriminals called Scattered Lapsus$ Hunters.
Research group Unit 42 said in a note the group had “asserted responsibility for laying siege to customer Salesforce tenants as part of a coordinated effort to steal data and hold it for ransom.”
The hackers had reportedly set an October 10 deadline for ransom payment.
‘Oldest tricks in the book’
The hackers stole the sensitive data using a social engineering technique, referring to a tactic of manipulating victims by pretending to be a company representative or other trusted person, experts said.
The FBI last month issued a warning about such attacks targeting Salesforce.
The agency said hackers posing as IT workers had tricked customer support employees into granting them access to sensitive data.
“They have been very effective,” expert Hunt said.
“And it hasn’t been using any sophisticated technical exploits… they have exploited really the oldest tricks in the books.”
The hack of data from Australia’s biggest airline comes as a string of major cyberattacks in the country has raised concerns about the protection of personal data.
Qantas apologized last year after a glitch with its mobile app exposed some passengers’ names and travel details.
And major ports handling 40% of Australia’s freight trade ground to a halt in 2023 after hackers infiltrated computers belonging to operator DP World.
© 2025 AFP
Citation:
Australian airline Qantas says millions of customers’ data leaked online (2025, October 12)
retrieved 12 October 2025
from https://techxplore.com/news/2025-10-australian-airline-qantas-millions-customers.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.
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