Technologies

DNA Gets Artificial Upgrade to Store Humanity’s Boundless Digital Data

Scientists added seven new letters to the existing nucleotide alphabet, opening the door for extreme levels of data storage capacity.

In the last few years, humanity has created more data than in all of history combined — a remarkable level of output with no signs of slowing down. But where are we going to put all of it?

Though scientists are constantly increasing hard drive sizes to hold humanity’s information, and many of them believe this could be done indefinitely, some suggest these efforts will eventually be outrun by the exponential rate at which we generate data. In response to such worries, scientists have been looking into a rather unique solution — storing files, photos and documents on nature’s very own information database: DNA.

DNA is both vast and condensed enough to contain an unfathomable amount of data in hyper small spaces. After all, the double helix strands protect our bodies’ entire blueprints while tucked inside cell nuclei merely 10 micrometers wide. Plus, DNA is naturally abundant and can withstand super harsh conditions on Earth. Scientists can even retrieve genetic information from DNA that’s several centuries old.

«Every day, several petabytes of data are generated on the internet. Only one gram of DNA would be sufficient to store that data. That’s how dense DNA is as a storage medium,» Kasra Tabatabaei, a researcher at the Beckman Institute for Advanced Science and Technology, said in a statement.

Tabatabaei is the co-author of a new study, published in last month’s edition of the journal Nano Letters, that may well take the DNA data storage concept to great heights. Essentially, the study team is the first to artificially extend the DNA alphabet, which could allow for massive storage capacities and accommodate a pretty extreme level of digital data.

Before we dive into the details, here’s a quick biology recap.

DNA encodes genetic information with four molecules called nucleotides. There’s adenine, guanine, cytosine and thymine, or A, G, C and T. In a sense, DNA has a four-letter alphabet, and different letter combinations represent different bits of data. With just these four letters, nature can encode the genetic information of every single living organism. So, theoretically, we should be able to store a ton of digital data with this crew of letters, too. But what if we had a longer alphabet? Presumably, that’d give us a much deeper capacity.

Following this line of thought, the team behind the new study artificially added seven new letters to the DNA repertoire. «Imagine the English alphabet,» Tabatabei said. «If you only had four letters to use, you could only create so many words. If you had the full alphabet, you could produce limitless word combinations. That’s the same with DNA. Instead of converting zeroes and ones to A, G, C and T, we can convert zeroes and ones to A, G, C, T and the seven new letters in the storage alphabet.»

Further, ensuring information encoded in these 11 letters can be regurgitated on demand, the researchers also coined a novel mechanism that precisely reads back the synthetic DNA’s data. The system uses deep-learning algorithms and artificial intelligence to discern between the human-made DNA letters and natural ones, as well as differentiate everything from one another.

All in all, it provides an extremely clear readout of the DNA’s letter combinations, thereby unveiling any and all information hiding inside.

«We tried 77 different combinations of the 11 nucleotides, and our method was able to differentiate each of them perfectly,» Chao Pan, a graduate student at the University of Illinois Urbana-Champaign and a co-author on this study, said in a statement, and «the deep learning framework as part of our method to identify different nucleotides is universal, which enables the generalizability of our approach to many other applications.»

DNA isn’t the only up and coming, innovative way of holding our compounding data. A Harvard University research team, for instance, is working on using neon dyes to encode invaluable information. Still, Tabatabaei remarked, «DNA is nature’s original data storage system. We can use it to store any kind of data: images, video, music — anything.»

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.