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Researchers in China are exploring aqueous battery technologies that replace traditional flammable organic electrolytes ...
14/06/2026

Researchers in China are exploring aqueous battery technologies that replace traditional flammable organic electrolytes with water-based alternatives. This approach aims to address one of the most significant concerns associated with conventional lithium-ion batteries: the risk of thermal runaway and fire under extreme conditions.

Battery safety has become increasingly important as energy storage systems expand into electric vehicles, homes, and utility-scale applications. Non-flammable electrolytes could significantly improve operational safety while reducing the need for complex cooling and fire suppression systems.

Recent advances in battery chemistry have also focused on increasing energy density and extending cycle life. Longer-lasting batteries with minimal degradation could lower replacement costs, improve sustainability, and make renewable energy storage more economically viable over time.

If scalable and commercially successful, water-based battery systems could have applications ranging from consumer electronics and electric transportation to large-scale grid storage. Reliable long-duration energy storage is considered essential for supporting the growing integration of renewable energy sources worldwide.

While promising laboratory results represent an important step forward, new battery technologies must undergo extensive testing and real-world validation before widespread adoption. Continued innovation in energy storage is helping drive the transition toward safer, more efficient, and more sustainable power systems.

14/06/2026

Removing parasites from an injured foot

A new report from the United Nations University warns that AI’s growing demand for electricity, water, and land could cr...
14/06/2026

A new report from the United Nations University warns that AI’s growing demand for electricity, water, and land could create significant environmental challenges within the next decade.

In 2025, AI-related workloads accounted for roughly 20% of data center electricity consumption. By 2030, that figure is projected to reach 40%, with AI’s total electricity use potentially rivaling years of power consumption across large regions of the world.

Water usage is another major concern. The report estimates that data centers could consume 9.3 trillion liters of water annually for cooling by 2030, highlighting the growing pressure AI infrastructure may place on global water resources.

Researchers also point to a rising electronic waste problem, with AI-related hardware potentially generating up to 2.5 million tonnes of e-waste per year by the end of the decade.

The report notes that around 90% of specialized AI cloud infrastructure is currently concentrated in the United States and China. As a result, many countries have limited domestic AI infrastructure while often bearing a larger share of the environmental impacts associated with mineral extraction, manufacturing, and waste disposal.

The researchers urge governments, technology companies, and users to consider AI’s full environmental footprint—including electricity use, water consumption, land requirements, and electronic waste—when evaluating future development. They also caution that even data centers powered by renewable energy can still have significant environmental impacts beyond carbon emissions alone.

🚨 THE AI BOOM HAS A GROWING PROBLEM: MANY AMERICANS DON'T WANT THE DATA CENTERS THAT POWER ITArtificial intelligence is ...
13/06/2026

🚨 THE AI BOOM HAS A GROWING PROBLEM: MANY AMERICANS DON'T WANT THE DATA CENTERS THAT POWER IT

Artificial intelligence is transforming everything from healthcare and education to business and national security. But behind every AI chatbot, image generator, and advanced model sits a vast network of data centers consuming enormous amounts of electricity, water, and land.

A new Reuters/Ipsos poll reveals that public enthusiasm for AI innovation does not automatically translate into support for the infrastructure required to make it possible. Only about one-third of Americans support the current pace of AI data center expansion, while a clear majority express concerns about the rapid construction of these facilities across the country.

Communities are increasingly raising questions about the local impact of large-scale data centers. Residents worry about increased energy demand, pressure on water supplies, environmental consequences, and whether the economic benefits justify the resources being consumed. Many fear that the facilities may not create enough permanent jobs to offset their long-term footprint.

Energy remains one of the biggest concerns. Modern AI systems require massive computing power, and that power comes with a growing appetite for electricity. As companies race to build larger and more powerful AI models, concerns are mounting that increased demand could contribute to higher electricity costs and place additional strain on aging power grids.

Water consumption has also become a major point of debate. Many data centers rely on extensive cooling systems to prevent servers from overheating. In regions already facing droughts or water shortages, residents and environmental groups are questioning whether local resources can sustain the industry's rapid expansion.

The findings highlight a critical challenge facing governments and technology companies alike: balancing the promise of artificial intelligence with concerns about sustainability, energy security, environmental impact, and community well-being.

The future of AI will depend not only on breakthroughs in software and computing power, but also on how successfully society manages the real-world infrastructure that supports this technological revolution.

UK ROCKED BY RIOTS AFTER BRUTAL BELFAST KNIFE ATTACKA shocking knife attack in Belfast has triggered days of violent unr...
13/06/2026

UK ROCKED BY RIOTS AFTER BRUTAL BELFAST KNIFE ATTACK

A shocking knife attack in Belfast has triggered days of violent unrest across Northern Ireland, with clashes between protesters and police, vehicles and buildings set on fire, and growing tensions over immigration and public safety.

Authorities say a 30-year-old Sudanese man, identified as Hadi Alodid, has been charged with attempted murder after allegedly attacking Stephen Ogilvie in what witnesses described as an attempted beheading. The victim suffered catastrophic injuries, including the loss of an eye, but survived.

The graphic footage of the attack spread rapidly online, fueling outrage and anti-immigration demonstrations. Some protests escalated into riots, with police deploying water cannons and plastic bullets as officers came under attack from rocks, petrol bombs, and other projectiles. Homes, vehicles, and businesses were also targeted during the disorder.

Political leaders across the UK have condemned both the attack and the subsequent violence. The victim's family has also urged people not to retaliate, calling for peaceful responses and warning against misinformation circulating on social media.

On CNN, Erin Brockovich said the most concerning aspect of data center development is not the water use or electricity d...
13/06/2026

On CNN, Erin Brockovich said the most concerning aspect of data center development is not the water use or electricity demand, but the lack of transparency surrounding many projects.
According to Brockovich, communities often learn about proposed developments only after agreements have been signed, permits approved, and construction is already underway.

She argued that this follows a familiar pattern in which industries move quickly, operate behind closed doors, and rely on limited public awareness until projects become difficult to challenge.

As opposition to data centers continues to grow, Brockovich's concerns appear to be resonating with many communities. Recent debates over data center projects have coincided with rising public resistance, local legal challenges, and grassroots organizing efforts across several regions of the United States.

The broader issue extends beyond data centers alone. Critics argue that major technological and industrial projects are often deployed faster than societies can fully assess their long-term environmental, economic, and social consequences. They contend that greater transparency, public participation, and precautionary planning should play a larger role in evaluating new technologies before large-scale implementation occurs.

Supporters of this view say innovation should not be measured solely by speed or profitability, but also by its long-term impacts on communities, ecosystems, and public trust.

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