Another one from Uncle Bob, the Single Responsibility Principle dictates that each module is only ever responsible for one thing. To create clear programs and code, the Single Responsibility Principle means for each module to control a single optionality. Your final version of code probably includes main functionality and options. When sharing your code, clearly mark sections of code which should and should not be modified. Open code signals to others that those sections can be modified without breaking the programme, whereas closed code lets others know what not to change.

Previously I have written about the reality and potential of ongoing efforts to integrate blockchain with the internet of things (IoT). Now I am going to look at how encrypted, distributed ledgers could unlock new frontiers for another cutting-edge technology: artificial intelligence (AI). AI, as the term is most often used today is, simply put, the theory and practice of building machines capable of performing tasks that seem to require intelligence. Currently, cutting-edge technologies striving to make this a reality include machine learning, artificial neural networks and deep learning. Meanwhile, blockchain is essentially a new filing system for digital information, which stores data in an encrypted, distributed ledger format.

Previously I have written about the reality and potential of ongoing efforts to integrate blockchain with the internet of things (IoT). Now I am going to look at how encrypted, distributed ledgers could unlock new frontiers for another cutting-edge technology: artificial intelligence (AI). AI, as the term is most often used today is, simply put, the theory and practice of building machines capable of performing tasks that seem to require intelligence. Currently, cutting-edge technologies striving to make this a reality include machine learning, artificial neural networks and deep learning. Meanwhile, blockchain is essentially a new filing system for digital information, which stores data in an encrypted, distributed ledger format.

Previously I have written about the reality and potential of ongoing efforts to integrate blockchain with the internet of things (IoT). Now I am going to look at how encrypted, distributed ledgers could unlock new frontiers for another cutting-edge technology: artificial intelligence (AI). AI, as the term is most often used today is, simply put, the theory and practice of building machines capable of performing tasks that seem to require intelligence. Currently, cutting-edge technologies striving to make this a reality include machine learning, artificial neural networks and deep learning. Meanwhile, blockchain is essentially a new filing system for digital information, which stores data in an encrypted, distributed ledger format.

Previously I have written about the reality and potential of ongoing efforts to integrate blockchain with internet of things (IoT). Now I am going to look at how encrypted, distributed ledgers could unlock new frontiers for another cutting-edge technology: artificial intelligence (AI). AI, as the term is most often used today is, simply put, the theory and practice of building machines capable of performing tasks that seem to require intelligence. Currently, cutting-edge technologies striving to make this a reality include machine learning, artificial neural networks and deep learning. Meanwhile, blockchain is essentially a new filing system for digital information, which stores data in an encrypted, distributed ledger format.

Previously I have written about the reality and potential of ongoing efforts to integrate blockchain with internet of things (IoT). Now I am going to look at how encrypted, distributed ledgers could unlock new frontiers for another cutting-edge technology: artificial intelligence (AI). AI, as the term is most often used today is, simply put, the theory and practice of building machines capable of performing tasks that seem to require intelligence. Currently, cutting-edge technologies striving to make this a reality include machine learning, artificial neural networks and deep learning. Meanwhile, blockchain is essentially a new filing system for digital information, which stores data in an encrypted, distributed ledger format.

Just as you might store birthday cards separately from bank statements, the brain keeps nice and nasty information in different places. A new study reveals pleasant experiences are stored in one part of the amygdala - an important memory centre in the brain – while unpleasant ones are housed in another. The researchers say that the discovery of this'filing system' could lead to a'cure for depression' in the future. The study reveals pleasant experiences are stored in one part of the amygdala - an important memory centre in the brain - while unpleasant ones are housed in another. The researchers say that the findings could lead to a'cure for depression' in the future (stock image) To identify the'negative' and'positive' neurons, researchers exposed male mice to an electric shock to the foot – a nasty experience - or the company of a female mouse - a nice experience.

Most English dictionaries list words alphabetically, but how do we store them in our head? Finding out could have an unexpected pay-off: being able to tell what someone is thinking from their brain activity. Although neuroscientists can already do this to a limited extent, the brain's internal filing system for words and concepts – an important step towards accurately reading a person's thoughts – remains murky. Now Jack Gallant at the University of California, Berkeley, and his team have charted the "semantic system" of the human brain. The resulting map reveals that we organise words according to their deeper meaning, in subcategories based around numbers, places, and other common themes. Previous "mind-reading" studies have shown that certain parts of the brain respond to particular words.