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Intel on Monday reaffirmed its commitment to its $28 billion project in New Albany and said it has struck a new multiyear, multibillion-dollar partnership with Amazon, one of its Licking County neighbors.

“We remain committed to our U.S. manufacturing investments and are moving forward with our projects in Arizona, Oregon, New Mexico and Ohio,” Intel CEO Pat Gelsinger said in a statement.

The company did not specify how many years or billions of dollars the Amazon partnership was for beyond that the chips will power artificial intelligence applications based on Intel’s most advanced technology.

The spacecraft bus that will deliver NASA’s Nancy Grace Roman Space Telescope to its orbit and enable it to function once there is now complete after years of construction, installation, and testing.

Now that the spacecraft is assembled, engineers will begin working to integrate the observatory’s other major components, including the science instruments and the telescope itself.

“They call it a spacecraft bus for a reason — it gets the telescope to where it needs to be in space,” said Jackie Townsend, the Roman deputy project manager at NASA’s Goddard Space Flight Center in Greenbelt, Maryland. “But it’s really more like an RV because it has a whole assortment of functions that enable Roman to accomplish its scientific goals while out there too.”

However, more recent research suggests there are likely countless other possibilities for how life might emerge through potential chemical combinations. As the British chemist Lee Cronin, the American theoretical physicist Sara Walker and others have recently argued, seeking near-miraculous coincidences of chemistry can narrow our ability to find other processes meaningful to life. In fact, most chemical reactions, whether they take place on Earth or elsewhere in the Universe, are not connected to life. Chemistry alone is not enough to identify whether something is alive, which is why researchers seeking the origin of life must use other methods to make accurate judgments.

Today, ‘adaptive function’ is the primary criterion for identifying the right kinds of biotic chemistry that give rise to life, as the theoretical biologist Michael Lachmann (our colleague at the Santa Fe Institute) likes to point out. In the sciences, adaptive function refers to an organism’s capacity to biologically change, evolve or, put another way, solve problems. ‘Problem-solving’ may seem more closely related to the domains of society, culture and technology than to the domain of biology. We might think of the problem of migrating to new islands, which was solved when humans learned to navigate ocean currents, or the problem of plotting trajectories, which our species solved by learning to calculate angles, or even the problem of shelter, which we solved by building homes. But genetic evolution also involves problem-solving. Insect wings solve the ‘problem’ of flight. Optical lenses that focus light solve the ‘problem’ of vision. And the kidneys solve the ‘problem’ of filtering blood. This kind of biological problem-solving – an outcome of natural selection and genetic drift – is conventionally called ‘adaptation’. Though it is crucial to the evolution of life, new research suggests it may also be crucial to the origins of life.

This problem-solving perspective is radically altering our knowledge of the Universe. Life is starting to look a lot less like an outcome of chemistry and physics, and more like a computational process.

Data from India’s recent Chandrayaan-3 mission supports the idea that an ocean of molten rock once covered the moon. Scientists from the mission have published their new findings in the journal Nature.

On August 23, 2023, a lander called Vikram successfully touched down on the lunar surface. Controllers then deployed a rover called Pragyan, which had been stowed on Vikram, to explore the landing site.

The location where Vikram touched down was further south than any other landing craft had previously been on the moon. It gave scientists an insight into the geology of the moon that had not yet been sampled.

Researchers Propose a #Smaller, more #Noise-#Tolerant #Quantum #Circuit for #Cryptography.

MIT researchers new algorithm is as fast as Regev’s, requires fewer qubits, and has a higher tolerance to quantum noise, making it more feasible to implement…


The most recent email you sent was likely encrypted using a tried-and-true method that relies on the idea that even the fastest computer would be unable to efficiently break a gigantic number into factors.

Quantum computers, on the other hand, promise to rapidly crack complex cryptographic systems that a classical computer might never be able to unravel. This promise is based on a quantum factoring algorithm proposed in 1994 by Peter Shor, who is now a professor at MIT.