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Ten years ago, researchers succeeded in suppressing sound wave propagation in the backward direction; however, this also attenuated the waves traveling forwards.

A team of researchers at ETH Zurich led by Nicolas Noiray, professor for Combustion, Acoustics and Flow Physics, in collaboration with Romain Fleury at EPFL, has now developed a method for preventing sound waves from traveling backward without deteriorating their propagation in the forward direction.

In the future, this method, which has recently been published in Nature Communications, could also be applied to electromagnetic waves.

A French startup is bringing sails back to the shipping industry.

The crystal structure the scientists developed can enable computational-based drug discovery to be used to target the i-motifs from the insulin gene, because when scientists know the specific 3D shape, they can design molecules digitally and model them to see whether they will fit.

Scientists can then develop new drugs using particular chemicals when they know which ones will fit the drug target best—a process called rational design.

As the first crystal structure of this type, the researchers say it will also be useful as a model for other targets in the genome, besides the insulin gene, which form this shape of DNA.

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Mind uploading and digital immortality explore the potential of AI technology to enable humans to live forever by transferring consciousness to machines. This concept raises profound questions about the future of humanity, identity, and ethics. Discover the groundbreaking possibilities and challenges of achieving eternal life through artificial intelligence and digital consciousness.

#ai #mindupload

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Dr. Wencai Zhang: “Our goal is to contribute to the supply chain of these critical materials while also making a positive environmental impact. We specifically aim to reduce the environmental consequences that can be associated with produced water.”

How can lithium, one of the most demanded minerals for clean energy products like electric vehicles, be harvested without harming the environment? This is | Technology.

Roadmap: Quantum algorithms and quantum machine learning could assist high-energy physics, ranging from studying neutrino oscillations to reconstructing particle trajectories in colliders.

Why do we take so many selfies? Because we are afraid of dying, say psychologists.

Many of us have phones filled with selfies documenting everything from holidays to duvet days.

But what’s behind the modern fascination with taking photos of ourselves?

Continue reading “Psychologists reveals the morbid reason we take so many selfies” »