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According to computational complexity theory, mathematical problems have different levels of difficulty in the context of their solvability. While a classical computer can solve some problems ℗ in polynomial time—i.e., the time required for solving P is a polynomial function of the input size—it often fails to solve NP problems that scale exponentially with the problem size and thus cannot be solved in polynomial time. Classical computers based on semiconductor devices are, therefore, inadequate for solving sufficiently large NP problems.

In this regard, quantum computers are considered promising as they can perform a large number of operations in parallel. This, in turn, speeds up the NP problem-solving process. However, many physical implementations are highly sensitive to thermal fluctuations. As a result, quantum computers often demand stringent experimental conditions such extremely low temperatures for their implementation, making their fabrication complicated and expensive.

Continue reading “Solving computationally complex problems with probabilistic computing” »

An experiment by disgraced scientist He Jiankui resulted in the birth of the first babies with edited genes. What happened next?

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Continue reading “AnthropoAge: Biological Age Prediction Without Blood Testing” »

Researchers almost doubled the lifespan of yeast cells by genetically rewiring the circuit that controls aging in a new proof-of-concept study.

Hollywood Park police also suggested consumers use pumps that are closer to the store or that have video surveillance as thieves typically target pumps that conceal them while they switch out their device.

Colby also told KENS 5 consumers should use the tap-to-pay option when possible.

“Really the best thing you can do is use tap-to-pay because you are not exposing your magnetic stripe. They’re going after the information on the mag stripe. It you don’t swipe the card it’s your safest bet,” Colby said.

Maybe you can’t tell a book from its cover, but according to researchers at MIT you may now be able to do the equivalent for materials of all sorts, from an airplane part to a medical implant. Their new approach allows engineers to figure out what’s going on inside simply by observing properties of the material’s surface.

The team used a type of machine learning known as deep learning to compare a large set of simulated data about materials’ external force fields and the corresponding internal structure, and used that to generate a system that could make reliable predictions of the interior from the surface data.

The results have been published in the journal Advanced Materials, in a paper by doctoral student Zhenze Yang and professor of civil and environmental engineering Markus Buehler.

This video is about the story of two geniuses, Albert Einstein and the famous logician Kurt Godel. It is about their meeting at IAS, Princeton, New Jersey, when they both walked and discussed many things. For Godel, Einstein was his best friend and till his last days, he remain close to Einstein. Their nature was opposite to each other, yet both of them were very good friends. What did they talk about with each other? What did they share? What were their thoughts? For Godel, Einstein was more like his guide and for Einstein, it was a great pleasure to walk with him.

In the first episode, we discover their first meeting with each other and the development of friendship between them.

Continue reading “Godel & Einstein | Einstein walked with Gödel | Kurt Gödel | Incompleteness theorem | Logic” »

Want to learn about Quantum Computing? Here we discuss some commonly-asked questions about quantum computing and their answers.

People’s Liberation Army (PLA) researchers claim they have created algorithm-based technology to defeat sophisticated hypersonic missile interception systems.

Engineers led by Zhang Xuesong from China’s Strategic Support Force Information Engineering University developed the algorithm that analyzes the trajectory of hypersonic missiles in order to avoid detection by missile defense systems, South China Morning Post (SCMP) reported on Saturday.

The algorithm “can analyze the trajectory of these hypersonic weapons to help them avoid missile defense systems, including advanced systems under development” in the US, claimed the engineers in a paper published in the Chinese journal Common Control and Simulation last month.