#technology Using a snow blower may be easier than shovelling, even pushing a blower around can be tiring if you have a large area to clear. That's where the Snowbot S1 comes in – it's a snow-blowing robot that's designed to do the job all on its own.
Snowbot S1 is a battery-powered, rubber-tracked autonomous vehicle which is about to enter the beta testing phase. Although you could use it on your sidewalk, it's intended more for large spaces such as parking lots.

Ocean Battery stores renewable energy at the bottom of the sea

As useful as renewable energy sources are, they need to be backed up by storage systems that hold energy for times when the Sun isn’t shining or the wind isn’t blowing. Ocean Battery is a new design for an energy storage system that functions a bit like a hydroelectric dam at the bottom of the sea: https://newatlas.com/energy/ocean-battery-renewable-energy-storage/

#energy #technology

Did you know that Wi-Fi and Bluetooth in your smartphone exist thanks to a Hollywood actress? 📱✨

Hedy Lamarr wasn’t just a star of Hollywood’s Golden Age, once dubbed “the most beautiful woman in the world.” In 1942, she patented a groundbreaking technology called frequency hopping, which became the foundation of all modern wireless communication.

By day, she starred in films — by night, she invented technologies decades ahead of their time.
How did an actress with no formal technical education manage to create something that changed the world of communication forever?

Find out in our new article!

#science #inventions #technology

🚨 Have you ever wondered how smartwatches know when you’re asleep?

It’s not magic — it’s @science!

Modern devices like Apple Watch or Fitbit analyze your heart rate, breathing, and even micro-movements of your body. When your heartbeat becomes steady and slow — you’re asleep. Sudden changes? They signal that you’re awake.

⚡ But the technology has gone much further:
• In 2023, MIT introduced algorithms that can track not only sleep but also emotions — for example, detecting stress through subtle heart rate changes.
• In 2024, researchers showed how AI-powered smartwatches could predict sleep quality by considering stress levels, daytime activity, and even room lighting.
• And in 2025, the first clinical trials revealed that wearables can detect early signs of sleep apnea and arrhythmia — long before a person visits a doctor.

🌍 Why does this matter? Because watches are no longer just gadgets — they’re turning into real medical assistants, spotting health problems before you even notice them yourself.

😄 Who knows, maybe soon they’ll not only tell you to go to bed, but also remind you when it’s time to take a vacation?

#Science #AI #Technology #Health

🐒🎥 A Chinese zoo has banned visitors from showing short videos (reels) to a chimpanzee named Ding-Ding.

Ding-Ding became an internet star because of his love for watching short clips on visitors’ phones. But the staff raised concerns: constant screen time could harm his eyesight.

The case sparked discussions online about digital addiction — and whether it’s really unique to humans.

Of course, primates are on a different evolutionary step, so for people the risk isn’t quite the same. Still, maybe it’s a reminder for us too: clean your glasses and enjoy the view of the real world every once in a while. 👓🌍

#Science #Animals #Psychology #Technology

🚨 #QuitGPT? A movement is urging people to cancel their AI subscriptions

A new campaign called “QuitGPT” is gaining traction online — encouraging users to cancel their paid ChatGPT subscriptions as a form of protest.

According to a recent report by MIT Technology Review, the movement frames subscription cancellations as a political and ethical statement. Supporters argue that advanced AI systems are becoming deeply embedded in power structures — and that consumers should push back using the one lever they control: their wallets.

So what’s actually happening?

• Activists are calling for users to unsubscribe from services developed by OpenAI
• The campaign is spreading across social platforms, with users publicly announcing cancellations
• Critics question AI governance, transparency, and leadership decisions
• Others argue that boycotting AI tools may slow innovation — or simply push users toward alternative models

This isn’t just about one product.

It’s about a broader question:
👉 Who shapes the future of AI — engineers, governments, corporations… or users?

We are entering a phase where AI is no longer experimental. It’s infrastructure.
And when technology becomes infrastructure, it inevitably becomes political.

Whether the QuitGPT campaign grows or fades, it signals something important:
AI is no longer just a tool. It’s a societal force — and people are starting to treat it that way.

What do you think?
Should users influence AI development through market pressure — or is engagement the better path?

#AI #Technology #Ethics #FutureOfWork #DigitalSociety

🎨 AI De‑noiser: Off‑the‑shelf image‑to‑image models break image protection

Researchers have uncovered a surprising vulnerability: standard image‑to‑image AI models (like Stable Diffusion, DALL‑E and similar) can be repurposed as generic “de‑noisers” — they strip away protective perturbations added to images by dedicated protection schemes.

What does it mean?
Many services add invisible noise to images to guard against copying, style mimicry, or deepfake manipulation. It turns out that breaking this protection doesn’t require specialized attacks — you can just ask any generative model to “enhance” the picture.

The experiment:
The team tested 8 case studies across 6 different protection systems. In every case, off‑the‑shelf models performed better than previous purpose‑built attacks while keeping the image quality high for the adversary.

Bottom line:
Many current protection schemes offer a false sense of security. Any future image‑protection mechanism must be benchmarked against attacks from readily available GenAI tools.

🔗 Paper (arXiv, Feb 25, 2026): https://arxiv.org/abs/2602.22197
📄 PDF: https://arxiv.org/pdf/2602.22197

#AI #Security #Deepfake #GenerativeModels #ImageProtection #ScienceNews #Technology

🔬 Anthropic Study: AI Could Already Do a Quarter of Our Work — But Humans Rarely Use It Yet
@science

📝 A new analysis from Anthropic’s Economic Index looks at millions of real interactions with the AI assistant Claude to understand how AI is actually used at work today — and how much more it could do.

📊 Key insight:
There’s a huge gap between AI capability and real-world usage.

What the data shows:
▪️ Around 44–49% of jobs contain tasks that AI could already assist with.
🔹 At least ~25% of tasks in the U.S. economy are technically accessible to current AI systems.
▪️ But most of those capabilities remain largely unused in practice.
🔹 When AI is used, it usually augments humans rather than replacing them.

In other words:
AI could already do far more work than it currently does — but adoption is still catching up.

📈 If widely adopted, current-generation AI could increase labor productivity growth by roughly ~1–1.8 percentage points per year, potentially doubling recent productivity trends.

💡 The implication:
The real transformation may not come from new AI breakthroughs — but from people gradually using the tools that already exist.

💬 Question:
Which tasks in your job could AI already handle today — but nobody is actually using it for yet?

🔗 Source:
https://www.anthropic.com/research/labor-market-impacts

#AI #FutureOfWork #Anthropic #Productivity #Technology

📡 6G May Be Able to Detect People Through Walls — And Privacy Experts Are Alarmed

The next generation of mobile networks won’t just transmit data. Under development for the 2030s, 6G is expected to integrate Integrated Sensing and Communication (ISAC) — a technology that combines wireless communications with radar-like sensing.

According to Germany’s Data Protection Conference (Datenschutzkonferenz), ISAC could allow networks to detect people through walls and remotely measure breathing and heart rate. Combined with machine learning, the system may also identify individuals by analyzing their gait, gestures, posture, and even facial movements.

The privacy concern is obvious: anyone within the network’s coverage could potentially be sensed, making meaningful user consent nearly impossible.

Researchers at the Barkhausen Institut in Dresden are already working on countermeasures. Their proposed solutions include a hardware switch to disable sensing functions on compatible devices and a mobile app capable of detecting when surrounding space is being scanned. The concepts are expected to be presented at an international expert meeting in September 2026.

Germany has invested around €700 million into 6G research, with commercial deployment widely expected around 2030.

Source: https://www.datenschutzkonferenz-online.de/ and https://www.barkhauseninstitut.org

#6G #ISAC #Privacy #Wireless #Technology #Science

💡 Scientists Made a Semiconductor That Can Be Reprogrammed With Light

Most computer chips are born with a fixed job. Once a semiconductor is fabricated, its electrical properties are largely locked in.

Researchers at Princeton have now created an ultrathin semiconductor — only a few molecules thick — that can repeatedly change how it conducts electricity in response to different wavelengths of light. The effect is reversible, meaning the material can be programmed, erased and programmed again.

The team achieved this by combining a two-dimensional semiconductor with light-sensitive molecules that physically change shape when illuminated. Those molecular changes alter the semiconductor’s electronic and optical behavior. And unlike a simple binary switch, the response can be adjusted gradually rather than just flipped between “0” and “1.”

The researchers have already produced uniform samples about one inch across and built arrays of programmable electronic switches. Their next goal is to connect them into functioning circuits.

The broader idea is striking: instead of manufacturing a chip for one fixed purpose, future electronics might be able to change their own physical behavior after they are built.

Software is already reprogrammable.

Now the hardware itself is starting to learn the trick.

#Semiconductors #Computing #MaterialsScience #Photonics #Technology #Science

https://www.science.org/doi/10.1126/sciadv.aee1510

🤖 Robots Are Now Building Robots

China’s XPeng has switched on a new production line for its humanoid robot IRON — and more than 80% of the line’s core manufacturing processes are automated.

The first production-line IRON completed assembly and then walked off the line by itself.

XPeng describes the facility as the world’s first automated production line for advanced general-purpose humanoid robots. The important nuance: this is not yet a completely human-free “self-replicating robot factory.” But it is a serious step from handcrafted prototypes toward industrial-scale humanoid production.

And IRON is not exactly a conventional industrial robot.

Its body has human-like proportions, flexible skin, highly articulated hands and movements realistic enough that, during XPeng’s 2025 AI Day, some viewers suspected there might actually be a person inside. CEO He Xiaopeng responded in the most convincing possible way: he cut open the robot’s leg on stage to reveal the machinery underneath.

XPeng plans to begin mass production before the end of 2026, with commercial deliveries expected in China and overseas in 2027.

For decades, factories used robots to manufacture cars.

Now a car company has built a factory where robots manufacture humanoid robots.

The recursion has officially begun.

#Robotics #AI #XPeng #HumanoidRobots #China #PhysicalAI #Technology

https://www.xpeng.com/news/01a080371029a057bc8e8a02a2c6012b

⚛️ Google Just Reduced a Critical Quantum Computing Error by 40 TIMES
Quantum computers have a fundamental problem.
They can potentially perform calculations beyond the reach of classical machines, but the quantum states they rely on are incredibly fragile.
Even tiny disturbances can introduce errors, making large-scale quantum calculations extremely difficult.
Now, researchers at Google Quantum AI have demonstrated a breakthrough that could help overcome one of the biggest obstacles.
They reduced errors in a critical quantum computing resource by approximately 40 times.
In a new study published in Science, researchers used Google's Willow quantum processor to demonstrate a technique called magic state cultivation.
Despite the name, there's nothing supernatural about it.
Magic states are specially prepared quantum states that enable certain operations essential for universal quantum computing.
Producing them reliably has been one of the field's biggest technical challenges.
The researchers developed a method to create these states, detect errors and discard unsuccessful attempts.
The result: quantum states with approximately 99.99% fidelity.
That means the prepared states matched their intended quantum states with extraordinarily high accuracy.
But the breakthrough goes beyond simply reducing errors.
The team also demonstrated that these refined states could be transferred between two different quantum error-correction systems — an important step toward integrating them into larger quantum computers.
And here's why this matters.
Some estimates suggest that producing reliable magic states could consume the overwhelming majority of a future fault-tolerant quantum computer's hardware resources.
Making their production more efficient could dramatically change the economics and engineering requirements of quantum computing.
Important caveat: The 40-fold improvement applies to the error rate of these particular quantum states, not the overall error rate or computing speed of Willow. Only about 8% of preparation attempts passed the researchers' strict checks. This is a hardware proof of principle, not a demonstration of a large-scale, fault-tolerant quantum computer.
Nevertheless, the implications are enormous.
Future quantum computers could help simulate complex molecules, discover new materials and investigate physical systems that conventional supercomputers struggle to model.
For decades, scientists have been trying to make quantum computers powerful enough to perform useful calculations.
Now they're getting better at making quantum information reliable enough to trust.
And that may prove just as important.
Could the biggest breakthrough in quantum computing turn out to be not more qubits — but fewer errors?
#Science #QuantumComputing #Physics #Google #QuantumPhysics #Technology #Innovation
https://doi.org/10.1126/science.aee7961