Engineers propose massive airbags for airplanes

https://www.popsci.com/technology/airplane-airbags/

An Air India flight from Ahmedabad bound for London spent just 30 seconds in the air before disaster struck earlier this year. Preliminary reports indicate that the aircraft’s fuel control switches were inexplicably turned off shortly after takeoff, cutting fuel to the engines and causing total power loss. Frantic cockpit recordings reveal the two pilots questioning each other in confusion over who made the fatal decision. Amid the chaos, the plane plummeted and crash-landed, killing all but one person on board. It was the deadliest aviation disaster in a decade.

A pair of aviation engineers from the Birla Institute of Technology and Science in India believe they have developed a design that could help prevent similar crashes—a design that involves massive, AI-controlled external airbags. Called Project REBIRTH, the multi-layered safety system would retrofit aircraft with a suite of sensors that constantly monitor flight conditions. If the system determines a crash below 3,000 feet is unavoidable, giant airbags would deploy, forming a protective cocoon designed to absorb impact energy and reduce damage. An infrared beacon and flashing lights would also be activated during the crash with the goal of making the cushioned wreckage easier for emergency responders to locate.

diagram showing how aiplane airbags would work
An AI system would detect potential failures and deploy airbags that form protective cocoon. Image: Eshel Wasim and Dharsan Srinivasan / Project REBIRTH

The engineers are calling their design, which is nominated for 2025 James Dyson Award, the world’s first “AI-powered crash survival system.” Though still in its early testing phases, they say computer simulations show the system can reduce crash forces by more than 60 percent. In theory, a softer landing, combined with faster, AI-driven emergency response decisions, could mean the difference between passengers surviving or dying in a crash. An aviation expert speaking with Popular Science said the concept shows promise but cautioned that many unanswered questions remain, particularly regarding the added weight of the airbags.

“This sounds like an interesting idea BUT airline disasters that this airbag system is intended to mitigate would mean that future aircraft would all be carrying the additional weight and other compromises to mitigate one accident in 20 years,” Jeff Edwards, a retired US Navy 1-6 Intruder bombardier and founder of aviation safety consulting firm  AVSafe, told Popular Science.

REBIRTH emerged as a “response to grief”

Eshel Wasim and Dharsan Srinivasan, the brains behind REBIRTH, say the concept was a direct response to the Air India crash, which left them and their family members reeling. 

“My mother couldn’t sleep,” Wasim writes. “She kept thinking about the fear the passengers and pilots must have felt, knowing there was no way out. That helplessness haunted us.” 

The pair began scouring academic research on airline safety measures and discovered a notable gap. Most air safety systems are designed to prevent crashes, with comparatively little focus on improving survivability when a crash is unavoidable. With that in mind, they set out to develop a method targeting three specific goals: slowing an aircraft before impact, absorbing the force of the crash, and helping rescuers locate and respond to the site more quickly.

“REBIRTH is more than engineering—it’s a response to grief,” the engineers write. “A promise that survival can be planned, and that even after failure, there can be a second chance.”

Using AI, giant airbags, and reverse thrusters to make crashes safer  

REBIRTH, as a system, begins working long before the popcorn-shaped airbags deploy. Sensors distributed throughout the aircraft monitor altitude, speed, engine status, direction, and pilot response. These sensors relay data to an onboard AI system, which analyzes the information to determine whether a crash appears imminent. If the system makes that determination at or below 3,000 feet, it triggers airbag deployment. The engineers note that pilots have a brief window to override the AI’s deployment decision, though it’s unclear exactly how long that window lasts.

If a pilot override doesn’t occur, massive airbags deploy from the nose, belly, and tail of the aircraft. All of that should happen in under two seconds. The so-called “smart airbags” are constructed from layers of Kevlar, TPU, Zylon, and STF, materials specifically selected for their energy-absorbing properties. These fabric layers are reinforced by an inner lining of various “non-Newtonian fluids” (liquids that don’t have a constant viscosity), which help further absorb impact. Assuming the engines are still functional, they will also automatically engage in reverse thrust to help slow the aircraft. According to the engineers, this reverse thrust alone could reduce the plane’s speed before impact by anywhere from 8 to 20 percent.

Once the airbag covered plane makes impact, the system would then automatically shoot out infrared beacon, GPS coordinates, and lights to help first responders quickly identify it.

“It prepares for the worst when all else fails,” the engineers write.

So far, Wasim and Srinivasan say they’ve seen promising results from computer simulations of their system. They have also built a 1:12 scale prototype and have begun reaching out to policymakers, aircraft manufacturers, and government agencies to initiate larger-scale, real-world testing. In theory, they believe the system could be retrofitted onto various types of aircraft, both new and old.

“Today, REBIRTH is ready for scaled testing, with schematics, simulations, and materials data prepared,” they write.

crash survival system
Can massive airbags make plane crashes safer? Aviation experts have their doubts. Image: Eshel Wasim and Dharsan Srinivasan / Project REBIRTH

Overly heavy airbags could do might do more harm than good 

Edwards, the aviation expert from AVSafe, said more testing data is needed before the viability of the airbag system can be determined. The system’s actual effectiveness, he noted, may partly depend on its overall weight. Although the airbags and thrusters are intended to reduce the force of impact, that benefit could be offset if the system is so heavy that it adds significant weight and drag. The airbags themselves would also need to be enormous to meaningfully reduce the impact forces of a commercial aircraft weighing over 600,000 pounds.

“The weight penalty alone would be a major concern,” Edwards said. 

There’s also still some uncertainty about the overall effectiveness of the AI monitoring system as proposed. While AI could sense the plane’s proximity to the ground and make a decision to deploy safety measures, Edwards said there are still many other real-time variables that need to be factored in when making an off-airport landing. 

Parachutes, ‘magic skin’ and trap door: the whacky world of plane safety ideas 

REBIRTH follows a long line of eye-catchingly ambitious air safety proposals, many of which never end up seeing the light of day. Some smaller twin-engine planes are already capable of deploying large “whole airplane” parachutes designed to help an aircraft descend safely in the event of engine failure. Back in 2011, researchers backed by NASA funding explored the development of so-called self-healing “magic skin” for aircraft that could shield the exterior from lightning, extreme temperatures, and electromagnetic interference. The process involved coating planes with a conductive film and energy-absorbing foam. They also explored ways for the coating to repair itself if punctured or torn.

Other proposed safety measures have been notably less high-tech. Following the September 11 terrorist attacks, Airbus filed a patent for a trapdoor installed at the cockpit entrance, apparently designed to eject a would-be attacker from the aircraft midair. The same patent even proposed deploying tranquilizer gas in the cabin as an anti-terrorism measure. As far as we can tell, neither of these concepts ever made it into commercial aircraft.

If REBIRTH does end up winning the Dyson award when it’s announced on November 5, it will join a cadre of out-of-the-box proposals. Past winners of the award include a team that created an off-road trailer used to transport wounded soldiers in Ukraine, a biomedical wearable glove used to test for glaucoma, and an “E-coating” made of waste glass used to reduce the heat absorption of buildings. Winners of the award receive $40,000 in prize money.

The post Engineers propose massive airbags for airplanes appeared first on Popular Science.

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September 15, 2025 at 04:16PM

How next-gen laptops use NPUs for massive power savings

https://www.pcworld.com/article/2888029/how-next-gen-laptops-use-npus-for-massive-power-savings.html

Current laptops with Intel Core Ultra Series 2 processors rely on a hybrid chip design that is specifically geared towards energy efficiency. The Neural Processing Unit (NPU), used for the first time in consumer systems, plays a central role here. This dedicated computing unit for AI tasks relieves the CPU and GPU of inference-based processes such as image recognition, language processing, or modelling.

While the CPU had to take on many of these tasks in conventional systems, the NPU enables a significantly more differentiated load distribution. This lowers the average system load and noticeably reduces energy requirements. As many NPU calculations can be carried out at a low clock frequency and in parallel, the energy balance is significantly improved compared to purely CPU- or GPU-based architectures.

Energy-saving components in Intel Core Ultra

The Intel Core Ultra V models in particular combine four performance cores with four efficiency cores and a dedicated NPU to form a tiered computing unit. The P-cores take over performance-critical tasks, while the E-cores and NPU remain continuously active in the background and run routine processes and AI functions with low power requirements.

Mark Hachman / IDG

The integrated Intel Arc Graphics also plays a role in this context: it enables hardware-accelerated video decoding and graphics-intensive display without an additional dedicated GPU, which relieves the cooling system and reduces the overall power consumption. The NPU delivers up to 48 TOPS of computing power with minimal power consumption. This benefits AI applications and AI functions as well as users, as the energy requirements of notebooks can be significantly minimised.

Intel

Microsoft’s energy-saving mechanisms under Windows 11

Parallel to the hardware platform, new energy-saving strategies have been implemented with Windows 11. The “User Interaction-Aware CPU Power Management” analyzes user activity in real time. If no interaction via keyboard, mouse, or touchpad is detected, the system automatically throttles CPU performance without interrupting active media playback or presentations. In addition, the “Adaptive Energy Saver” function also activates the energy-saving mode regardless of the battery status, provided the system load and usage scenario allow this.

Sam Singleton

In both cases, the NPU can ensure that AI-supported functions remain active in the background without negatively impacting the energy balance. The AI also balances priorities in the background, for example by delaying cloud synchronization or adaptive process rest.

HP Omnibook and other Copilot models in comparison

Devices such as the HP’s Omnibook X line already integrate these technologies system-wide. In combination with an Intel Core Ultra 7 258V and an Intel Arc 140V GPU, the NPU enables locally executed features such as Windows Studio Effects or AI functions in HP AI Companion without noticeably draining the battery. Many other models also achieve battery runtimes of over 24 hours in mixed operation thanks to the use of NPUs. Models such as the Surface Laptop 6 or the Surface Pro 10 integrate a dedicated NPU directly into the Intel Core Ultra SoC, supplemented by high-performance CPU cores and integrated graphics.

Other compatible devices also rely on the Copilot concept, which combines powerful NPUs with intelligent energy management. Devices such as the Galaxy Book with RTX 4050/4070 or the Surface Pro 10 with Intel Core Ultra 7 demonstrate these possibilities. In practice, this means that even when language translation, background blurring or real-time image optimization are actively used, power consumption remains low.

Software-based optimization and AI offloading

A significant contribution to energy savings is made by shifting compute-intensive workloads to the NPU on the software side. Applications such as Zoom, Adobe Premiere Pro or Amuse are increasingly using native ONNX runtime-based interfaces to offload AI processes such as image generation, object tracking or audio filters to the NPU.

Adobe

This reduces the energy requirements of the CPU, which is particularly noticeable during long periods of use in video conferences or creative applications. The NPU is accessed via standardized interfaces such as DirectML and Intel and AMD platforms, which have native integration into the ONNX runtime. The resulting reduction in load on the main processors makes a decisive contribution to more even load distribution and therefore longer battery life.

Interaction of CPU, GPU, and NPU in practice

In modern notebooks, the CPU, GPU, and NPU work as a dynamic processing trio. While the CPU continues to control the operating system and general applications, the GPU takes over graphics-intensive tasks or parallelized computing operations. The NPU concentrates on dedicated AI processes and enables continuous processing with low energy consumption. Windows 11 assigns these tasks specifically, and continuously evaluates which unit is most efficient for execution.

IDG / Mark Hachman

This means that recurring tasks such as speech transcription, person recognition, or background noise filters can be processed directly on the NPU. This not only lowers power consumption, but also reduces the system temperature, which enables lighter cooling systems and therefore more compact and lighter notebook designs overall.

Local processing instead of cloud offloading

The local execution of AI workloads on the NPU replaces the usual cloud access in many cases. This means that image analyses, language models, or layout suggestions no longer have to be calculated online, but run entirely on the device. This not only reduces latencies, but also avoids unnecessary network activity. This is another factor that reduces power consumption.

At the same time, the availability of these functions is increased even without a network connection, for example on the train or when travelling. Battery life then benefits in two ways: through lower computing load on the CPU and GPU and through reduced Wi-Fi or LTE/5G activity.

Windows 11 shows NPU utilization in Task Manager for the first time

Microsoft has expanded the Task Manager for control and transparency of this new architecture. In addition to CPU, GPU, and RAM, NPU utilization is now also displayed as a separate measured value. This allows users to understand how much their AI applications are actually benefiting from the dedicated hardware.

For developers, the ONNX runtime in combination with the Windows Performance Analyzer also offers detailed diagnostic functions that can be used to specifically analyze inference times, operator load, and load curves. This enables fine-tuned optimization for maximum energy gain and minimum runtime delay.

Sam Singleton

Battery life as the new benchmark for AI PCs

While attention has long focused on computing power and model size, there is now a paradigm shift. The actual runtime of a device is increasingly becoming the most important quality criterion for AI-optimized notebooks. Modern AI notebooks achieve video playback times of over 26 hours under realistic conditions, a value that would be almost impossible to realize without NPU-supported power distribution.

At the same time, the combination of an adaptive energy-saving mode, local AI offloading, and intelligent load controls opens up new possibilities for mobile applications where the power supply is not always guaranteed.

Conclusion: Saving energy with specialized AI hardware

The integration of NPUs into current notebook platforms not only marks a technological advance in terms of AI performance, but also enables a sustainable reduction in energy consumption through intelligent task sharing for the first time. In combination with the new energy-saving functions of Windows 11, the result is a platform that not only works faster in everyday use, but also noticeably more efficiently. For users, this means longer battery life, less waste heat, quieter systems, and an overall better balance between performance and mobility, without sacrificing modern AI functions.

via PCWorld https://www.pcworld.com

September 15, 2025 at 05:34AM

Mercedes EQS Solid-State Prototype Covers 749 Miles on One Charge

https://www.autoblog.com/news/the-end-of-range-anxiety-mercedes-eqs-solid-state-battery-delivers-749-miles

Range anxiety may have just met its match. Mercedes-Benz has taken an EQS prototype fitted with a solid-state battery on a 749-mile run from Stuttgart to Malmö, and it still arrived with roughly 85 miles left in the pack. The achievement stands as one of the most impressive real-world demonstrations yet of what solid-state technology can deliver, hinting at a future where electric vehicles could rival or even surpass the convenience of gasoline-powered cars.


A Run to Prove the Point

The test wasn’t a carefully stage-managed loop; it was a cross-country trip through Germany and Denmark, guided by the brand’s Electric Intelligence navigation software, which factored in elevation changes, cabin climate control, and traffic. It was, in other words, a practical demonstration that makes today’s longest-range EVs look dated.

Mercedes CTO Markus Schäfer described the feat as “a true gamechanger for electric mobility,” framing it not as a lab experiment but a preview of what customers could expect within the next decade.



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What Makes This Battery Different

Unlike the lithium-ion pack in today’s EQS, this prototype used lithium-metal solid-state cells developed with Factorial Energy. The pack stores about 25% more energy without adding weight or bulk, and uses pneumatic actuators to maintain consistent pressure on the cells during charging cycles—boosting both safety and longevity.

It’s the kind of breakthrough that shows why Mercedes isn’t giving up on traditional engineering either. CEO Ola Källenius has already stressed that the V12 isn’t dead yet, promising it will remain in production “into the 2030s.” Solid-state batteries and twelve-cylinder engines might seem worlds apart, but Mercedes is clearly betting on range and emotion side by side.


A Broader Electric Push

The EQS test comes amid a larger EV shift. Mercedes is preparing to launch its first all-electric C-Class in 2026, promising nearly 500 miles of range and a glowing LED grille. At the same time, it’s reviving heritage products like the G-Class Cabriolet to keep loyalists engaged.

Together, the moves show a company trying to balance the demands of an EV-led future with the timeless appeal of its legacy icons.



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My Final Word

Covering 749 miles on one charge isn’t just a headline—it’s a signal. Mercedes has shown that solid-state batteries can unlock range that rivals gasoline cars, while still keeping the brand’s heritage alive through models like the V12-powered flagships and G-Class derivatives.

Mercedes is proving that the road to tomorrow’s EVs doesn’t mean abandoning the values that built its past.

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September 10, 2025 at 03:08PM

Rimac Just Unveiled Solid-State Batteries and E-Axles With 8,100 lb-ft of Torque

https://www.autoblog.com/news/rimac-just-unveiled-solid-state-batteries-and-e-axles-with-8100-lb-ft-of-torque

Rimac Technology has used the IAA Mobility show to prove it’s more than a hypercar brand. At Munich, the Croatian company revealed production-ready solid-state battery packs, new hybrid and Evo battery formats, and next-generation e-axles capable of delivering torque figures that sound more like aerospace stats than automotive ones.



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Solid-State Becomes Tangible

Rimac’s partnership with ProLogium and Mitsubishi Chemical has produced a solid-state battery system that promises lighter weight, higher energy density, and greater safety than today’s lithium-ion packs. Unlike many competitors still waving around concept slides, Rimac insists this is production-ready tech. It will sit alongside the company’s Evo Battery, which uses advanced NMC 46XX cells, and its flexible Hybrid Battery platform tailored to hybrids.

For a company already famous for building record-breaking cars like the Nevera, this marks a step toward mainstream industrial influence. It’s the same DNA that allowed the Nevera R to steal back an “impossible” Koenigsegg speed record earlier this summer—engineering innovation turned into real-world results.



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E-Axles That Redefine Power

On the drivetrain side, Rimac introduced its new SINTEG 300 and 550 e-axles, delivering up to 360 kW and torque density above 90 Nm/kg. They’re compact enough for hot hatches yet powerful enough for SUVs. But the showstopper was the XXL dual-motor e-axle producing more than 11,000 Nm of torque, slated for series production in 2026.

It’s the kind of output that makes hypercars like the Nevera possible—and yes, collectors are paying attention. A 1-of-150 Nevera landed on Bring a Trailer with a $2.2 million starting price, and this was last year, underscoring just how valuable Rimac’s engineering halo has become.



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Beyond Batteries and Motors

Rimac also revealed a centralized electronics architecture using NXP processors to consolidate multiple ECUs into one domain controller. That reduces weight, simplifies wiring, and enables over-the-air updates. It’s the kind of foundational software-hardware integration automakers need to scale EVs efficiently.

And Rimac knows how to celebrate milestones. Last year, it marked its 15th anniversary with a limited-edition Nevera, showing that even as the company scales into a supplier role, its core identity remains tied to making some of the most extreme EVs on the planet.

My Final Word

The message from Munich was very clear, that Rimac is helping shape the EV industry from the inside out. Solid-state batteries, torque-heavy e-axles, and unified vehicle brains aren’t just concepts—they’re the building blocks for the next generation of electric cars.

And if history is any guide, what Rimac unveils at IAA today could soon reset the benchmarks for both performance and production.

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September 8, 2025 at 01:06PM

Google’s Circle to Search can now translate text as you scroll

https://www.engadget.com/ai/googles-circle-to-search-can-now-translate-text-as-you-scroll-171555663.html?src=rss

Google’s Circle to Search tool just got a bit more useful, as it can now continuously translate text while scrolling. Until now, people had to restart the process every time the content on the screen changed. The update ensures the translation feature will keep on ticking along.

Google says this is great for getting "more context for social posts from creators who speak a different language" or when browsing "menus when you’re booking restaurant reservations while traveling abroad." Just tap the "Translate" icon and look for the menu option "scroll and translate."

This update not only keeps the translation tool going as you scroll, but it even keeps working when switching to another app. Google says "there’s no interruption" in these cases, which sounds pretty darned useful to me.

The update is rolling out now to Android users, but Samsung Galaxy devices are getting it first. Everyone else will have to wait a little bit.

This is just the latest update for Circle to Search. The tool also now lets users conduct one-tap actions on phone numbers, emails and URLs.

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September 4, 2025 at 12:24PM

AI is transforming weather forecasting ? and that could be a game changer for farmers around the world

https://www.geeksaresexy.net/2025/09/04/ai-is-transforming-weather-forecasting-%e2%88%92-and-that-could-be-a-game-changer-for-farmers-around-the-world/

Weather forecasts help farmers figure out when to plant, where to use fertilizer and much more. Maitreya Shah/Studio India

Paul Winters, University of Notre Dame and Amir Jina, University of Chicago

For farmers, every planting decision carries risks, and many of those risks are increasing with climate change. One of the most consequential is weather, which can damage crop yields and livelihoods. A delayed monsoon, for example, can force a rice farmer in South Asia to replant or switch crops altogether, losing both time and income.

Access to reliable, timely weather forecasts can help farmers prepare for the weeks ahead, find the best time to plant or determine how much fertilizer will be needed, resulting in better crop yields and lower costs.

Yet, in many low- and middle-income countries, accurate weather forecasts remain out of reach, limited by the high technology costs and infrastructure demands of traditional forecasting models.

A new wave of AI-powered weather forecasting models has the potential to change that.

A farmer in a field holds a dried out corn stalk.
A farmer holds dried-up maize stalks in his field in Zimbabwe on March 22, 2024. A drought had caused widespread water shortages and crop failures. AP Photo/Tsvangirayi Mukwazhi

By using artificial intelligence, these models can deliver accurate, localized predictions at a fraction of the computational cost of conventional physics-based models. This makes it possible for national meteorological agencies in developing countries to provide farmers with the timely, localized information about changing rainfall patterns that the farmers need.

The challenge is getting this technology where it’s needed.

Why AI forecasting matters now

The physics-based weather prediction models used by major meteorological centers around the world are powerful but costly. They simulate atmospheric physics to forecast weather conditions ahead, but they require expensive computing infrastructure. The cost puts them out of reach for most developing countries.

Moreover, these models have mainly been developed by and optimized for northern countries. They tend to focus on temperate, high-income regions and pay less attention to the tropics, where many low- and middle-income countries are located.

A major shift in weather models began in 2022 as industry and university researchers developed deep learning models that could generate accurate short- and medium-range forecasts for locations around the globe up to two weeks ahead.

These models worked at speeds several orders of magnitude faster than physics-based models, and they could run on laptops instead of supercomputers. Newer models, such as Pangu-Weather and GraphCast, have matched or even outperformed leading physics-based systems for some predictions, such as temperature.

A woman in a red sari tosses pellets into a rice field.
A farmer distributes fertilizer in India. EqualStock IN from Pexels

AI-driven models require dramatically less computing power than the traditional systems.

While physics-based systems may need thousands of CPU hours to run a single forecast cycle, modern AI models can do so using a single GPU in minutes once the model has been trained. This is because the intensive part of the AI model training, which learns relationships in the climate from data, can use those learned relationships to produce a forecast without further extensive computation – that’s a major shortcut. In contrast, the physics-based models need to calculate the physics for each variable in each place and time for every forecast produced.

While training these models from physics-based model data does require significant upfront investment, once the AI is trained, the model can generate large ensemble forecasts — sets of multiple forecast runs — at a fraction of the computational cost of physics-based models.

Even the expensive step of training an AI weather model shows considerable computational savings. One study found the early model FourCastNet could be trained in about an hour on a supercomputer. That made its time to presenting a forecast thousands of times faster than state-of-the-art, physics-based models.

The result of all these advances: high-resolution forecasts globally within seconds on a single laptop or desktop computer.

Research is also rapidly advancing to expand the use of AI for forecasts weeks to months ahead, which helps farmers in making planting choices. AI models are already being tested for improving extreme weather prediction, such as for extratropical cyclones and abnormal rainfall.

Tailoring forecasts for real-world decisions

While AI weather models offer impressive technical capabilities, they are not plug-and-play solutions. Their impact depends on how well they are calibrated to local weather, benchmarked against real-world agricultural conditions, and aligned with the actual decisions farmers need to make, such as what and when to plant, or when drought is likely.

To unlock its full potential, AI forecasting must be connected to the people whose decisions it’s meant to guide.

That’s why groups such as AIM for Scale, a collaboration we work with as researchers in public policy and sustainability, are helping governments to develop AI tools that meet real-world needs, including training users and tailoring forecasts to farmers’ needs. International development institutions and the World Meteorological Organization are also working to expand access to AI forecasting models in low- and middle-income countries.

A man sells grain in Dawanau International Market in Kano, Nigeria on July 14, 2023.
Many low-income countries in Africa face harsh effects from climate change, from severe droughts to unpredictable rain and flooding. The shocks worsen conflict and upend livelihoods. AP Photo/Sunday Alamba

AI forecasts can be tailored to context-specific agricultural needs, such as identifying optimal planting windows, predicting dry spells or planning pest management. Disseminating those forecasts through text messages, radio, extension agents or mobile apps can then help reach farmers who can benefit. This is especially true when the messages themselves are constantly tested and improved to ensure they meet the farmers’ needs.

A recent study in India found that when farmers there received more accurate monsoon forecasts, they made more informed decisions about what and how much to plant – or whether to plant at all – resulting in better investment outcomes and reduced risk.

A new era in climate adaptation

AI weather forecasting has reached a pivotal moment. Tools that were experimental just five years ago are now being integrated into government weather forecasting systems. But technology alone won’t change lives.

With support, low- and middle-income countries can build the capacity to generate, evaluate and act on their own forecasts, providing valuable information to farmers that has long been missing in weather services.The Conversation

Paul Winters, Professor of Sustainable Development, University of Notre Dame and Amir Jina, Assistant Professor of Public Policy, University of Chicago

This article is republished from The Conversation under a Creative Commons license. Read the original article.

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September 4, 2025 at 12:12PM

This Unlikely Chemical Could Be a Powerful Weapon Against Climate Change

https://gizmodo.com/this-unlikely-chemical-could-be-a-powerful-weapon-against-climate-change-2000653025

Year after year, humans pump more carbon dioxide (CO2) into the atmosphere than nature can remove, fueling global warming. As the need to mitigate climate change becomes increasingly urgent, scientists are developing ways to actively remove CO2 from the atmosphere in addition to cutting emissions.

One of the biggest hurdles to scaling current carbon capture technologies is the vast amount of energy they consume, but what if there was an alternative that uses an abundant, cheap power source? A team of researchers at Harvard University recently took a major step toward that goal. Their technique, outlined in a Nature Chemistry study published August 13, harnesses sunlight to efficiently trap CO2.

They’re not talking about slapping solar panels on direct air capture systems that run on heat and electricity. This approach is based on specially designed molecules that use light to change their chemical state and reversibly trap CO2.

Harnessing the power of photochemistry

The methodology the researchers developed is a significant departure from leading direct air capture technologies. These systems tend to rely on chemical solvents or porous sorbents that readily bond to CO2, pulling it out of the air. But the ability to reuse those materials—and harness the carbon for practical use—requires a huge input of energy (usually heat) to release the trapped carbon into a container.

“If you want a practical way to pull carbon dioxide out of the atmosphere and then release it into a tank where you can use it, you need the solution—or whatever medium you’re going to use—to be able to both capture and release. That’s the key,” co-author Richard Liu, an assistant professor of chemistry and chemical biology at Harvard, told Gizmodo.

“Our innovation here is that we began thinking about whether you could use light directly to do that,” he explained.

To that end, Liu’s team synthesized organic molecules called “fluorenyl photobases” that do exactly that. When exposed to sunlight, they rapidly release hydroxide ions that capture CO2 from ambient air by chemically binding to it. In the absence of light, the reaction reverses, releasing the trapped CO2 and reverting the photobase back to its original state.

Scaling a new solution

Through a series of experiments, the researchers determined that the most effective fluorenyl photobase for CO2 capture was PBMeOH. This molecule showed no CO2 capture in the dark but the highest capture rate when exposed to light. What’s more, testing showed that a PBMeOH-based carbon capture system is stable and can complete many cycles with minimal loss of efficiency.

“They only fade about 1% per cycle, so you could imagine only replenishing every 100 cycles,” Liu explained.

This work demonstrates a reversible system for carbon capture that relies solely on sunlight as the direct energy input, highlighting photobases as a promising alternative to traditional sorbents.

The results are encouraging, but Liu and his colleagues will need to clear several hurdles before they can turn their framework into real-world technologies. They’re already working to address several challenges, such as the engineering aspects of how the system will expose these compounds to light and dark.

While the “best” approach is still unknown, photochemical systems present some key advantages over existing technologies, Liu said. Exploring new ways to remove CO2 from the atmosphere is more urgent than ever before. “Because we can’t get rid of every source in the short term, carbon capture from the atmosphere—and from point sources, especially—is going to be an important part of the solution.

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September 4, 2025 at 04:08AM