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Excessive technology use could cause future humans to form a second eyelid and alterations in the hands and back.

Advancements in technology change how people work and function, often speeding up the process or creating efficiency. However, there is a possibility that technology is affecting our bodies, especially from using it often.

A research project commissioned by TollFreeForwarding warns that using technology too much could form abnormalities. Researchers collaborated with a 3D designer to make images of a “future human” that shows tech-related problems from daily technological use. Researchers named the 3D model “Mindy”.

Does that spell the end of the project?

It’s not looking good for Elon Musk’s hyperloop. The site of the futuristic train-like vehicle is now going to be turned into a parking lot, according to a report by Bloomberg published on Thursday.

Still, it’s not all doom and gloom.


Construction on Elon Musk’s hyperloop seems to be on hold as its site is currently being transformed into a parking lot for SpaceX employees. Is this the end of the project or will it be moved elsewhere?

Electrical charge can change the size of water droplets and cause them to ‘explode.’

A new scientific experiment has proven that electrically charging clouds can change the size of the droplets in fog or, possibly, droplets in a cloud that is having trouble moving to fall as rain.

The new experiment assists a “constipated cloud” in becoming rainy, according to a report published by The Guardian on Thursday.

For the last few decades, battery research has largely focused on rechargeable lithium-ion batteries, which are used in everything from electric cars to portable electronics and have improved dramatically in terms of affordability and capacity. But nonrechargeable batteries have seen little improvement during that time, despite their crucial role in many important uses such as implantable medical devices like pacemakers.

Now, researchers at MIT have come up with a way to improve the energy density of these nonrechargeable, or “primary,” batteries. They say it could enable up to a 50% increase in useful lifetime, or a corresponding decrease in size and weight for a given amount of power or energy capacity, while also improving safety, with little or no increase in cost.

The new findings, which involve substituting the conventionally inactive battery electrolyte with a material that is active for energy delivery, are reported today in the journal Proceedings of the National Academy of Sciences, in a paper by MIT Kavanaugh Postdoctoral Fellow Haining Gao, graduate student Alejandro Sevilla, associate professor of mechanical engineering Betar Gallant, and four others at MIT and Caltech.

New foundation aims for scientific and rhetorical value – and to run the debug cycle for longevity research.

The Longevity Investors Conference is quickly turning into one of the highlights in the longevity calendar, and we were delighted to be able to interview some of the speakers in a few ‘backstage’ moments.

Held in the exclusive location of Gstaad in Switzerland, The Longevity Investors Conference (LIC) is the world’s leading and most private longevity-focused investors-only conference. Providing relevant insights into the fast-growing field of longevity, the conference also offers expert education and investment opportunities, as well as fostering excellent networking opportunities. Dr Aubrey de Grey was in Gstaad to address the conference on rejuvenation biotechnology as well as being part of a panel discussing where crypto meets longevity.

Visit Longevity. Technology — https://bit.ly/3PwtH8Y

𝐂𝐨𝐧𝐬𝐜𝐢𝐨𝐮𝐬 𝐑𝐞𝐚𝐥𝐢𝐭𝐲 𝐈𝐬 𝐎𝐧𝐥𝐲 𝐚 𝐌𝐞𝐦𝐨𝐫𝐲 𝐨𝐟 𝐔𝐧𝐜𝐨𝐧𝐬𝐜𝐢𝐨𝐮𝐬 𝐀𝐜𝐭𝐢𝐨𝐧𝐬, 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬 𝐏𝐫𝐨𝐩𝐨𝐬𝐞 𝐈𝐧 𝐑𝐚𝐝𝐢𝐜𝐚𝐥 𝐍𝐞𝐰 𝐓𝐡𝐞𝐨𝐫𝐲

“𝙒𝙚 𝙥𝙚𝙧𝙘𝙚𝙞𝙫𝙚 𝙩𝙝𝙚 𝙬𝙤𝙧𝙡𝙙 𝙖𝙨 𝙖 𝙢𝙚𝙢𝙤𝙧𝙮,” 𝙩𝙝𝙚 𝙖𝙪𝙩𝙝𝙤𝙧𝙨 𝙤𝙛 𝙖 𝙧𝙚𝙘𝙚𝙣𝙩 𝙥𝙖𝙥𝙚𝙧 𝙬𝙧𝙤𝙩𝙚. “𝙄𝙣 𝙤𝙩𝙝𝙚𝙧 𝙬𝙤𝙧𝙙𝙨, 𝙩𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡𝙡𝙮, 𝙬𝙚 𝙖𝙧𝙚 𝙣𝙤𝙩 𝙘𝙤𝙣𝙨𝙘𝙞𝙤𝙪𝙨𝙡𝙮 𝙥𝙚𝙧𝙘𝙚𝙞𝙫𝙞𝙣𝙜 𝙖𝙣𝙮𝙩𝙝𝙞𝙣𝙜 𝙙𝙞𝙧𝙚𝙘𝙩𝙡𝙮.”


“We perceive the world as a memory,” the authors of a recent paper wrote. “In other words, technically, we are not consciously perceiving anything directly.”

HBP researchers have trained a large-scale model of the primary visual cortex of the mouse to solve visual tasks in a highly robust way. The model provides the basis for a new generation of neural network models. Due to their versatility and energy-efficient processing, these models can contribute to advances in neuromorphic computing.

Modeling the brain can have a massive impact on artificial intelligence (AI): since the brain processes images in a much more energy-efficient way than artificial networks, scientists take inspiration from neuroscience to create neural networks that function similarly to the biological ones to significantly save energy.

In that sense, brain-inspired neural networks are likely to have an impact on future technology, by serving as blueprints for visual processing in more energy-efficient neuromorphic hardware. Now, a study by Human Brain Project (HBP) researchers from the Graz University of Technology (Austria) showed how a large data-based model can reproduce a number of the brain’s visual processing capabilities in a versatile and accurate way. The results were published in the journal Science Advances.