Month: September 2025

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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

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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.

This article originally appeared on Engadget at https://ift.tt/ECBozxH

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September 4, 2025 at 12:24PM

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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

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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

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LinkedIn will require recruiters and executives to verify their identity to cut down on scams

https://www.engadget.com/social-media/linkedin-will-require-recruiters-and-executives-to-verify-their-identity-to-cut-down-on-scams-130040435.html?src=rss

LinkedIn will now require some users to verify their identity before they change job titles in an attempt to cut down on scams on the platform. The new identity verification rules will specifically apply to executives and recruiters who interact with job seekers or represent a company in one form or another.

As part of these changes, LinkedIn says users who add or update their title to anything recruiter-related (recruiter, talent acquisition, etc.) will have to verify their workplace on their profiles. The same identity verification rules will apply to executives, as well, which LinkedIn says covers titles like "Executive Director, Managing Director, and Vice President." Verifying your workplace requires you to provide an official email address that uses your company’s domain name. The new requirement only applies to people changing roles, existing recruiters and executives won’t have to verify.

The new workplace verification feature that will appear when recruiters and executives update their LinkedIn profiles.
LinkedIn

LinkedIn has offered similar verification tools to select companies upon request, but now the platform says it’ll open up the option to every company with a LinkedIn page via a new "Premium Company Page subscription." A verified company should be easier to trust when paired with verified employees.

While LinkedIn is best known as a home for thought leadership and a necessary evil in job hunts, it’s also the site of a large amount of fraud. Scammers impersonate company employees to collect data from fake job postings or conduct elaborate investment schemes, as CNBC reported in 2022. LinkedIn has automated systems for weeding out fake accounts, and rolled out an earlier wave of anti-scam features focused on job postings in 2023, but this new system should offer even more security.

This article originally appeared on Engadget at https://ift.tt/vkUlrCJ

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September 4, 2025 at 08:11AM

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Easier plastic recycling is on the horizon

https://www.popsci.com/environment/plastic-recycling-catalyst/

The age of pre-sorting mixed plastic waste may soon be over. The secret weapon? A cheap catalyst made from nickel that targets one of our most problematic polymers. The findings are detailed in a study published September 2 in the journal Nature Chemistry.

Even after decades of worldwide efforts, recycling plastic remains much easier said than done. The frustrating reality is largely thanks to a group of polymers called polyolefins. Humans manufacture roughly 220 million tons of polyolefin-based products every year, most of which are single-use items like condiment bottles, milk jugs, plastic wrap, trash bags, and juice cartons.

“Basically, almost everything in your refrigerator is polyolefin based,” Northwestern University chemist and study co-author Yosi Kratish said in a statement. 

Plastics are typically broken down using catalysts–compounds capable of exploiting weak chemical bonds to kickstart decomposition in the materials that otherwise take hundreds or thousands of years to deteriorate. 

We annually recycle less than 10 percent of polyolefin products, resulting in mountains of waste destined for either landfills or industrial furnaces. That’s because while other plastics are typically broken down with catalysts, polyolefins are a different story. These resilient polymers resist eroding due to tiny molecules linked by notoriously tough carbon-carbon bonds.

“Polyolefins don’t have any weak links. Every bond is incredibly strong and chemically unreactive,” said Kratish.

Our current solutions aren’t “solutions” so much as stopgaps. Polyolefin products can be shredded, melted, and downcycled into low-quality plastic pellets, but even then there are caveats. Human-assisted separating is still necessary, and even the smallest amounts of food residue or non-plastic material can compromise an entire batch. Meanwhile, burning polyolefins requires temperatures as high as 1,292 degrees Fahrenheit.

“Everything can be burned, of course,” said Kratish. “If you apply enough energy, you can convert anything to carbon dioxide and water. But we wanted to find an elegant way to add the minimum amount of energy to derive the maximum value product.”

A potential solution may reside in hydrogenolysis, a process in which a combination of hydrogen gas and a catalyst deconstruct polyolefin plastic into actually useful hydrocarbons. Existing hydrogenolysis options also involve high temperatures and expensive, noble metal-derived catalysts, but Kratish’s team found a workaround.

Unlike rare earth metals like palladium and platinum, engineers discovered that a synthesized alternative called cationic nickel is cheap, abundant, and easy to amass. Other nickel-based catalysts include multiple reaction sites. Cationic nickel’s single-site variant allows it to function more like a precise laser or sharp knife. Instead of breaking down all of a plastic’s structure, this option specifically targets those resilient carbon-carbon bonds at a much lower temperature and with half the hydrogen gas pressure. The new catalyst is so stable that it holds up to infamous, contaminant-heavy plastics like PVC.

“Adding PVC to a recycling mixture has always been forbidden. But apparently, it makes our process even better,” Kratish said. “That is crazy. It’s definitely not something anybody expected.”

If proven to be scalable and efficient, the new catalyst could largely eradicate the need for painstaking plastic pre-sorting while also drastically reducing the amount of microplastics released into the environment every day. 

The post Easier plastic recycling is on the horizon appeared first on Popular Science.

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September 2, 2025 at 02:07PM

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Meet the Top 10 AI-Proof Jobs That Everyone Wants

https://gizmodo.com/ai-proof-jobs-a-robot-cant-do-2000651426

AI is rapidly scaling in the workforce and creating fears of an employment crisis, as workers and people entering the workforce try to figure out if their career is on the chopping block.

That quick pace is backed by emerging data. As a result, people are trying to find “AI-proof” jobs that can guarantee job security as companies around the world choose to automate tasks instead of hiring new workers.

Although no study can definitively say which occupations are 100% AI-proof and which are doomed to automation, a recent Microsoft study and its findings can shed a light on the matter.

A Microsoft study published last month measured how AI can productively apply to the common tasks of different jobs.

Microsoft researchers analyzed more than 200 thousand anonymized conversations from Bing Copilot, the company’s search engine chatbot, from January 2024 through September 2024 to see “what tasks users perform with a mainstream, publicly available, free-to-use generative AI chatbot,” the study says.

The study then developed “AI applicability scores” for these jobs, a number that represents the combination of which work activities people sought the most AI assistance for plus how successful these tasks were and their scope of impact.

There are caveats

Although the study shows which occupations AI can automate best, and those which it can’t do as well, Microsoft says that doesn’t necessarily mean that those jobs will be eliminated.

The AI applicability score highlights “where AI might change how work is done, not take away or replace jobs,” Microsoft representatives told Gizmodo earlier this month.

“Our research shows that AI supports many tasks, particularly those involving research, writing, and communication, but does not indicate it can fully perform any single occupation,” Microsoft said.

The data also does not imply that jobs with high AI applicability scores will have higher wages thanks to AI incorporation, the study noted, because the data does not include “the downstream business impacts of new technology.”

Read more about AI’s predicted effect on the corporate world from Gizmodo here.

Why companies automate

Microsoft believes AI can be used to augment these jobs rather than completely automating them.

But is that what corporate executives want? It’s tough to make a blanket statement on that, but early signs indicate that executives might be more pro-automation than not.

Increasingly, executives around the corporate world are voicing their expectations and desires to see AI cut costs across the workplace. This news has naturally led to a slowdown in hiring, particularly impacting early career workers in white-collar fields to which, as the Microsoft study also shows, AI poses the biggest threat.

“Artificial intelligence is going to replace literally half of all white-collar workers in the U.S.,” Ford CEO Jim Farley said at the Aspen Ideas Festival just last month.

Several executives have also already put into effect new hiring policies this year that ask managers to explain why an AI agent can’t fulfill the role before they can go ahead with hiring a new worker.

Just because you can doesn’t mean you should

AI can cut labor costs and increase profit for companies. But that is not yet a case for wholesale automation.

Although AI can automate some of these jobs, it doesn’t mean it can do a great job at it.

For example, Microsoft says that writers are in the top 10 for highest AI applicability. But AI-generated writing has been criticized far and wide, particularly for its bountiful copyright issues as AI feeds on the work of existing human writers to “create” new pieces.

The disruption of the labor market that is bound to follow the automation of certain jobs should also be a cause for concern.

Former Google executive Mo Gawdat said earlier this month that he believes this AI-driven labor problem is one of several aspects of the way we approach AI that is bound to lead to a short-term dystopia in the next 15 years.

Much like the Microsoft researchers that worked on the study, many other experts argue that the augmentation of AI into certain fields is a much better way to fuse AI into the economy for productivity gains than automation.

So what are the jobs?

Here are the ones most likely to stay human-run, the study says:

10. Tire Repairers and Changers

9. Ship Engineers

8. Automotive Glass Installers and Repairers

7. Oral and Maxillofacial Surgeons

6. Plant and System Operators

5. Embalmers

4. Helpers-Painters, Plasterers

3. Hazardous Materials Removal Workers

2. Nursing Assistants

1. Phlebotomists (aka healthcare professionals trained to collect blood samples)

AI works with data. So it is not surprising that the list overwhelmingly includes healthcare industry jobs, and blue collar work, both of which require specialized physical expertise rather than clear-cut data synthesis.

In the healthcare industry specifically, AI adoption has also been particularly slow due to limited datasets. Only less than 10% of surgical data is publicly available due to strict regulations.

The jobs that are at highest risk 

Microsoft also looked at jobs that it deemed had the highest levels of AI applicability. Those were, rather unsurprisingly, knowledge work occupations and sales roles, where AI is already being rapidly incorporated.

Here is the list of the top 10 jobs that have the highest levels of AI applicability:

10. Broadcast announcers and radio DJs

9. Ticket agents and travel clerks

8. Telephone operators

7. CNC tool programmers

6. Customer service representatives

5. Writers and authors

4. Sales representatives of services

3. Passenger attendants

2. Historians

1. Interpreters and translators

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August 31, 2025 at 02:29PM