The goal of Kaare Hartvig Jensen, Associate Professor at DTU Physics, was to reduce the need for harvesting, transporting, and processing crops for the production of biofuels, pharmaceuticals, and other products. The new method of extracting the necessary substances, which are called plant metabolites, also eliminates the need for chemical and mechanical processes. Plant metabolites consist of a wide range of extremely important chemicals. Many, such as the malaria drug artemisinin, have remarkable therapeutic properties, while others, like natural rubber or biofuel from tree sap, have mechanical properties. Because most plant metabolites are isolated in individual cells, the method of extracting the metabolites is also important, since the procedure affects both product purity and yield.

Plant metabolites consist of a wide range of extremely important chemicals. Many, such as the malaria drug artemisinin, have remarkable therapeutic properties, while others, like natural rubber or biofuel from tree sap, have mechanical properties. Because most plant metabolites are isolated in individual cells, the method of extracting the metabolites is also important, since the procedure affects both product purity and yield. Usually the extraction involves grinding, centrifugation, and chemical treatment using solvents. This results in considerable pollution, which contributes to the high financial and environmental processing costs.

In a perspective piece, Stanford researchers discuss the ethical implications of using machine-learning tools in making health care decisions for patients. Artificial intelligence is hard at work crunching health data to improve diagnostics and help doctors make better decisions for their patients. But researchers at the Stanford University School of Medicine say the furious pace of growth in the development of machine-learning tools calls for physicians and scientists to carefully examine the ethical risks of incorporating them into decision-making. In a perspective piece published March 15 in the New England Journal of Medicine, the authors acknowledged the tremendous benefit that machine learning can have on patient health. But they cautioned that the full benefit of using this type of tool to make predictions and take alternative actions can't be realized without careful consideration of the accompanying ethical pitfalls.

Max was not very good at chess himself. He's a 24-year-old entrepreneur who lives in San Francisco and plays the sport occasionally to amuse himself. He was a prototypical amateur. Now he was preparing himself for a match against chess royalty. And he believed he could win. The unlikely series of events that brought him to this stage began last year, when Max challenged himself to a series of monthly tasks that were ambitious bordering on absurd. He memorized the order of a shuffled deck of cards. He solved a Rubik's Cube in 17 seconds. He developed perfect musical pitch and landed a standing back-flip. He studied enough Hebrew to discuss the future of technology for a half-hour. Max, a self-diagnosed obsessive learner, wanted his goals to be so lofty that he would fail to reach some. He knew from the beginning of his peculiar year that the hardest challenge would come in October: defeating Magnus Carlsen in a game of chess.

It was Sunday 28th of February 2016, Magnus Olsson was staying at my house in Spain, I had been appointed the Vice President of World CACH 2 days before. We were planning the roll out of the World CACH, deciding the agenda of the organisation, we had a great day on the Saturday, we appointed the technical director, spoke to one of our legal team Alfred Lambremont Webre, he's the guy that won the war crimes tribunal against Tony Blair and George Bush. We explained that what we wanted to do with World CACH was to set up a Global Intelligence Service that acts for the people against the Governments and security services that no longer represent the people, and take the Masons who have infiltrated all levels of the government and security Services to the war crimes tribunal for genocide and racketeering against the population of earth. He thought both ideas were sensational and invited us to go on his show the following day, which would go out to 250,000 people. On the Sunday, I started hearing the high pitched noise again in my ear I had not heard it for a few days, since Magnus arrived, and all of a sudden it was back along with the voice to skull.

With the recent release of Magnus, an app that can recognize artworks using visual data, we turn back to the Summer 1977 issue of ARTnews, in which the editors wondered if it was possible for a computer to appreciate art. "Would there be a call for computer art critics?" the editors asked. No, Magnus does not meet that description, but it is being called "Shazam for the art world," and it can tell you titles, artists, mediums, and prices when viewers take pictures of the work in question with their phones. The 1977 article follows in full below. He goes on to an interpretation of the "collection of data" that is an artwork as a program of the sort fed into a computer.