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Blog – Page 8719

Circa 2017

Today, lithium is the active ingredient in batteries that power smart phones, laptops, and cars. But because of the price of lithium, researchers have been looking for another, more abundant element that could replace it. Several start-ups and established companies have tackled the idea of developing rechargeable batteries in which the active ingredient is sodium, lithium’s neighbor on the periodic table.

Besides its availability, sodium has several other important properties—not the least of which is its resistance to catching on fire. What’s more, “It was a good candidate because it could store a similar amount of energy as compared to lithium,” remembers Minah Lee, who does research on sodium batteries at Stanford University.

Today a number of companies are working on developing sodium batteries with the ultimate aim of replacing lithium as the key ingredient. The CNRS, The National Center for Scientific Research in France, recently announced the creation of Tiamat, a start-up company based in Amiens, France, that will develop and bring to the market a sodium rechargeable battery by 2020. CNRS says the battery will be designed in the widespread industrial 18650 format.

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Albert Einstein’s famous expression “spooky action at a distance” refers to quantum entanglement, a phenomenon seen on the most micro of scales. But machine learning seems to grow more mysterious and powerful every day, and scientists don’t always understand how it works. The spookiest action yet is a new study of heart patients where a machine-learning algorithm decided who was most likely to die within a year based on echocardiogram (ECG) results, reported by New Scientist. The algorithm performed better than the traditional measures used by cardiologists. The study was done by researchers in Pennsylvania’s Geisinger regional healthcare group, a low-cost and not-for-profit provider.

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Every now and again, scientists discover fossils that are so bizarre they defy classification, their body plans unlike any other living animals or plants. Tullimonstrum (also known as the Tully Monster), a 300m-year-old fossil discovered in the Mazon Creek fossil beds in Illinois, US, is one such creature.

At first glance, Tully looks superficially slug-like. But where you would expect its mouth to be, the creature has a long thin appendage ending in what looks like a pair of grasping claws. Then there are its eyes, which protrude outward from its body on stalks.

Tully is so strange that scientists have even been unable to agree on whether it is a vertebrate (with a backbone, like mammals, birds, reptiles and fish) or an invertebrate (without a backbone, like insects, crustaceans, octopuses and all other ). In 2016, a group of scientists claimed to have solved the mystery of Tully, providing the strongest evidence yet that it was a vertebrate. But my colleagues and I have conducted a new study that calls this conclusion into question, meaning this monster is as mysterious as ever.

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A new study co-led by researchers in the U.S. and China has pushed back the first-known physical evidence of insect flower pollination to 99 million years ago, during the mid-Cretaceous period.

The revelation is based upon a tumbling flower beetle with pollen on its legs discovered preserved in amber deep inside a mine in northern Myanmar. The fossil comes from the same amber deposit as the first ammonite discovered in amber, which was reported by the same research group earlier this year.

The report of the new fossil will publish Nov. 11 in the journal of the Proceedings of the National Academy of Sciences. The fossil, which contains both the beetle and pollen grains, pushes back the earliest documented instance of insect pollination to a time when pterodactyls still roamed the skies—or about 50 million years earlier than previously thought.

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“Multiple products are affected globally”

Google Cloud down. Issue global in scale. Numerous services affected, including Kubernetes and IoT services like Nest.

Google Cloud Platform (GCP) says it is experiencing a “major issue” with services including Cloud Dataflow, AppEngine, Compute Engine, Cloud Storage, Dataflow, Dataproc, Pub/Sub, BigQuery, Networking all failing today as of 9.14 am BST.

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Oxford University researchers have, for the first time, generated a massive 10 billion entangled bits in silicon, taking an important step towards a real world quantum computer.

The researchers cooled a piece of phosphorus-doped silicon to within one degree of absolute zero and applied a magnetic field. This process lined up the spins of one electron per phosphorus atom. Then the scientists used carefully timed radio pulses to nudge the nuclei and electrons into an entangled state. Across the silicon crystal, this produced billions of entangled pairs.

Stephanie Simmons, researcher and lead author on the paper Entanglement in a solid-state spin ensemble — published in Nature, says that quantum computers really start to give classical computers a run for their money at a few dozen qubits, but her team is working to skip that stage altogether by going directly from a two-qubit system to one with 10 billion.

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