Google's algorithm instructed a neural network which had been trained to recognise specific aspects of an image (say, animals or buildings) to subtly alter the image, strengthening the aspects it recognised, and then feed the output back into the start of the process.
Max Hawkins spoke of his adventures and misadventures with using an algorithm to randomize his life -- for two years the algorithm instructed him on random tasks to complete (with extremes like "kill a deer" prompting him to learn about hunting), where to live for a month at a time, and random Facebook events that led him to far away places and prompted unlikely friendships.
The algorithm instructed the insulin i.v. infusion rate (or glucose administration in case of hypoglycemia) after each glucose measurement.
To infer population structure and admixture between populations while accounting for selfing, we applied a Monte Carlo Markov chain algorithm, InStruct (Gao et al. 2007), to the 759 sites with an allele frequency of 10% or more.
An algorithm that instructs the car to halt for any dynamic object in its path to avoid hitting pedestrians may expose the car's passengers to injury if the vehicle behind rear-ends them.
The algorithm that instructs a self-driving car to wait its turn at a lane-merge is better in an environment where other drivers are also attentive and committed to taking turns than it is in an environment with drivers who care only for their own interests (and thus may elect to cut in front of a safety-prioritizing autonomous vehicle rather than waiting).
The search algorithm was instructed to apply a static +57 Da modification to cysteine residues to compensate for the action of iodoacetamide used to alkylate free SH groups during the digestion process.
The physicians were educated in the algorithm and instructed to follow it.
In the protocol group, the bedside nurse followed an algorithm that instructed repeated 200 ml colloid boluses until the stroke volume index no longer increased by >10% and was ≥35 ml/m.
Stanford Professor Charbel Farhat and his research team at the Army High Performance Computing Research Center AHPCRCC) used a new, high-end, massively parallel computer to demonstrate the power of algorithms that instruct processors to work together to solve challenging problems.
