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Coding for Qubits: How to Program in Quantum Computer Assembly Language
Most of the first five project proposals that Sandia accepted from an initial batch of 15 applicants will perform benchmarking of various kinds against other quantum computers. But, Clark says, “One of the teams [led by Phil Richerme at Indiana University, Bloomington] is solving a small quantum chemistry problem by finding the ground states of a particular molecule.” Source: IEEE Spectrum.
Mnemonic device used to improve short-term memory found to also improve longer term memory
To learn more about the mnemonic device, the researchers enlisted the assistance of 17 of the world's top-ranked memory athletes. Each was asked to memorize a list of items and then the results of their efforts were compared with a control group based on intelligence, handedness, gender and age. Source: MedicalXpress.
Which are the best pandemic policies? Data trackers are trying to judge
Each tracker has its own aspects and perspectives. Some do integrate data from different databases, including one maintained by the World Health Organization. But this comes at the expense of some of the granularity that the original databases might have had. From the perspective of data quality and reproducibility of results, merging trackers into a super-database isn’t a good idea. To be able to forecast which policy measures and strategies might work best to contain the virus, we should seek to continue using all trackers for as long as possible. Source: Nature.
How to poison the data that Big Tech uses to surveil you
And some questions remain to be answered. How many people does a data strike need to damage a company’s algorithm? And what kind of data would be most effective in poisoning a particular system? In a simulation involving a movie recommendation algorithm, for example, the researchers found that if 30% of users went on strike, it could cut the system’s accuracy by 50%. But every machine-learning system is different, and companies constantly update them. The researchers hope that more people in the machine-learning community can run similar simulations of different companies’ systems and identify their vulnerabilities. Source: Tech Review.