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Artificial intelligence can accelerate the process of finding and testing new materials, and now researchers have used that ability to develop a battery that is less dependent on the costly mineral lithium.

Lithium-ion batteries power many devices that we use every day as well as electric vehicles. They would also be a necessary part of a green electric grid, as batteries are required to store renewable energy from wind turbines and solar panels. But lithium is expensive and mining it damages the environment. Finding a replacement for this crucial metal could be costly and time-consuming, requiring researchers to develop and test millions of candidates over the course of years. Using AI, Nathan Baker at Microsoft and his colleagues accomplished the task in months. They designed and built a battery that uses up to 70 per cent less lithium than some competing designs.

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This week saw the official inauguration of the world’s first research prototype for whole-body MRI-guided proton therapy. The launch ceremony, at OncoRay – the National Center for Radiation Research in Oncology in Dresden, marked the start of scientific operation using the prototype, which is designed to enable real-time MRI tracking of moving tumours during proton therapy.

Proton therapy provides a means to treat tumours with extreme precision. The finite range of a proton beam enables extremely conformal dose targeting with reduced dose to nearby healthy tissue. This high conformality, however, makes proton treatments particularly sensitive to anatomical changes in the beam path, which can impair the targeting precision when treating a moving target. Real-time imaging during treatment could help solve this drawback by synchronizing dose delivery with the tumour position.

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LG is already one of the most prolific EV battery manufacturers in the US, but it wants to build the devices that charge them, too. The company just opened just opened its first EV charger manufacturing facility in the US, a 59,000 square foot plant in in Fort Worth, Texas capable of manufacturing 10,000 units per year.

The company has already started to assemble 11kW home-style chargers there and will begin producing 175kW fast chargers in the first half of 2024. It plans to built 350kW ultra-fast chargers at some point this year designed for “commercial travel and long-distance transportation,” LG wrote.

The Korean company said it chose Texas as it had existing facilities there and because the state offers “excellent logistics and transportation networks and is home to major operations for companies in industries ranging from automobile manufacturing to finance” (GM, Toyota and Tesla all have vehicle assembly plants in the state).

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⚠️ Over 7,100 WordPress sites have been hit by the ‘Balada Injector’ malware, which exploits sites using a vulnerable version of the Popup Builder plugin. Read More ➡️ https://thehackernews.com/2024/01/balada-injector-infects-over-7100.htm

Thousands of WordPress sites using a vulnerable version of the Popup Builder plugin have been compromised with a malware called Balada Injector.

First documented by Doctor Web in January 2023, the campaign takes place in a series of periodic attack waves, weaponizing security flaws WordPress plugins to inject backdoor designed to redirect visitors of infected sites to bogus tech support pages, fraudulent lottery wins, and push notification scams.

Subsequent findings unearthed by Sucuri have revealed the massive scale of the operation, which is said to have been active since 2017 and infiltrated no less than 1 million sites since then.

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Just like humans, plants also communicate with each other as soon as any danger or attack is detected in their neighbourhood. Scientists know about this phenomenon since the 1980s, having identified at least 80 species who act in their defence in crisis situations. However, it was still shrouded in mystery as to how exactly plants receive such danger signals from their neighbours.

Now, a team of Japanese scientists has not just solved this puzzle but also filmed the communication among plants in an amazing video. In a study published in Nature Communications, molecular biologists at Saitama University in Japan, Yuri Aratani and Takuya Uemura, demonstrated how these plants behave upon detecting danger.

To conduct the experiment, scientists set off caterpillars on leaves cut from tomato plants and a commonly used weed called Arabidopsis thaliana. To better analyse its impact on the neighbouring plant, the compounds were concentrated in a plastic bottle and pumped onto the recipient plant at a constant rate.

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