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      "title": "Moving closer to completely optical artificial neural network",
      "body": "<html> <p>https://cdn.steemitimages.com/DQmSYp8mneVR9WjvUJeFPy8m3ibvNs5RyvdGm7Rp2v92kky/image.png<br></p> <p><strong>Optical training of neural networks could lead to more efficient artificial intelligence</strong></p> <p>https://cdn.steemitimages.com/DQmNkV9uemWgjo86Tm5ebMbAmb6jiC2yW4mZf7RhcbvK2ia/image.png</p> <p><em>&nbsp;Researchers have shown a neural network can be trained using an optical circuit (blue rectangle in the illustration). In the full network there would be several of these linked together. The laser inputs (green) encode information that is carried through the chip by optical waveguides (black). The chip performs operations crucial to the artificial neural network using tunable beam splitters, which are represented by the curved sections in the waveguides. These sections couple two adjacent waveguides together and are tuned by adjusting the settings of optical phase shifters (red and blue glowing objects), which act like 'knobs' that can be adjusted during training to perform a given task.&nbsp;</em></p> <p>&nbsp;<strong>Researchers have shown that it is possible to train artificial neural networks directly on an optical chip. The significant breakthrough demonstrates that an optical circuit can perform a critical function of an electronics-based artificial neural network and could lead to less expensive, faster and more energy efficient ways to perform complex tasks such as speech or image recognition.</strong></p> <p>'Using an optical chip to perform neural network computations more efficiently than is possible with digital computers could allow more complex problems to be solved,' said research team leader Shanhui Fan of Stanford University. 'This would enhance the capability of artificial neural networks to perform tasks required for self-driving cars or to formulate an appropriate response to a spoken question, for example. It could also improve our lives in ways we can't imagine now.'</p> <p>&nbsp;An artificial neural network is a type of artificial intelligence that uses connected units to process information in a manner similar to the way the brain processes information. Using these networks to perform a complex task, for instance voice recognition, requires the critical step of training the algorithms to categorize inputs, such as different words.&nbsp;</p> <p>Although optical artificial neural networks were recently demonstrated experimentally, the training step was performed using a model on a traditional digital computer and the final settings were then imported into the optical circuit. In <em>Optica</em>, The Optical Society's journal for high impact research, Stanford University researchers report a method for training these networks directly in the device by implementing an optical analogue of the 'backpropagation' algorithm, which is the standard way to train conventional neural networks.</p> <p>'Using a physical device rather than a computer model for training makes the process more accurate,' said Tyler W. Hughes, first author of the paper. 'Also, because the training step is a very computationally expensive part of the implementation of the neural network, performing this step optically is key to improving the computational efficiency, speed and power consumption of artificial networks.'&nbsp;</p> <p><br></p> <p>&nbsp;<strong>A light-based network</strong></p> <p>Although neural network processing is typically performed using a traditional computer, there are significant efforts to design hardware optimized specifically for neural network computing. Optics-based devices are of great interest because they can perform computations in parallel while using less energy than electronic devices.&nbsp;</p> <p>&nbsp;In the new work, the researchers overcame a significant challenge to implementing an all-optical neural network by designing an optical chip that replicates the way that conventional computers train neural networks.<br> &nbsp;</p> <p>&nbsp;An artificial neural network can be thought of as a black box with a number of knobs. During the training step, these knobs are each turned a little and then the system is tested to see if the performance of the algorithms improved.<br> &nbsp;'Our method not only helps predict which direction to turn the knobs but also how much you should turn each knob to get you closer to the desired performance,' said Hughes. 'Our approach speeds up training significantly, especially for large networks, because we get information about each knob in parallel.'<br> &nbsp;</p> <p>&nbsp;<strong>On-chip training</strong></p> <p>The new training protocol operates on optical circuits with tunable beam splitters that are adjusted by changing the settings of optical phase shifters. Laser beams encoding information to be processed are fired into the optical circuit and carried by optical waveguides through the beam splitters, which are adjusted like knobs to train the neural network algorithms.</p> <p>In the new training protocol, the laser is first fed through the optical circuit. Upon exiting the device, the difference from the expected outcome is calculated. This information is then used to generate a new light signal, which is sent back through the optical network in the opposite direction. By measuring the optical intensity around each beam splitter during this process, the researchers showed how to detect, in parallel, how the neural network performance will change with respect to each beam splitter's setting. The phase shifter settings can be changed based on this information, and the process may be repeated until the neural network produces the desired outcome.</p> <p>The researchers tested their training technique with optical simulations by teaching an algorithm to perform complicated functions, such as picking out complex features within a set of points. They found that the optical implementation performed similarly to a conventional computer.</p> <p>'Our work demonstrates that you can use the laws of physics to implement computer science algorithms,' said Fan. 'By training these networks in the optical domain, it shows that optical neural network systems could be built to carry out certain functionalities using optics alone.</p> <p>'The researchers plan to further optimize the system and want to use it to implement a practical application of a neural network task. The general approach they designed could be used with various neural network architectures and for other applications such as reconfigurable optics.&nbsp;</p> </html>",
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      "title": "Boris Johnson accused of Islamophobia over comments on wearing the burka",
      "body": "<html> <p>Boris Johnson has come under fire after saying that Muslim women wearing burkas “look like letter boxes” or bank robbers.</p> <p>The former UK foreign secretary came out against calls for a ban on the face-covering veils in public places, but described them as “absolutely ridiculous” and compared their wearers to rebellious teenagers.</p> <p>His comments, in response to the introduction of a burka ban in Denmark, sparked an angry response from Muslim organisations and MPs, who accused him of stoking Islamophobia for political gain.</p> <p>The assistant secretary general of the Muslim Council of Britain, Miqdaad Versi, said Mr Johnson was “pandering to the far-right”, <em>while Labour MP David Lammy branded him a “pound-shop Donald Trump.</em></p> <p><br></p> <p>Labour’s Jess Phillips said she would report Mr Johnson to the Equality and Human Rights Commission.</p> <p><br></p> <p>Denmark last week followed France, Germany, Austria and Belgium in banning face-covering garments like the burka and niqab in public places.</p> <p><br></p> <p>A fine of around £120 has already been imposed on a woman wearing a niqab in a shopping centre in the town of Horsholm, after another woman reportedly tried to tear it off.</p> <p><br></p> <p>Downing Street confirmed that the Government does not support a ban in the UK.</p> <p><br></p> <p>https://cdn.steemitimages.com/DQmeGgmkwn6gt8pkjdocxj7YPyz4sYBi7KDzH8RHnjz9bxY/image.png</p> <p><br></p> <p>Writing in the Daily Telegraph, Mr Johnson said he felt “fully entitled” to expect women to remove face coverings when talking to him at his MP’s surgery, and said schools and universities should be able to take the same approach if a student “turns up … looking like a bank robber”.</p> <p><br></p> <p>“<em>If you tell me that the burka is oppressive, then I am with you</em>,” he wrote.</p> <p><br></p> <p>“If you say that it is weird and bullying to expect women to cover their faces, then I totally agree – and I would add that I can find no scriptural authority for the practice in the Koran.</p> <p><br></p> <p>“<em>I would go further and say that it is absolutely ridiculous that people should choose to go around looking like letter boxes</em>.”</p> <p><br></p> <p>Mr Johnson wrote: “<em>Like a parent confronted by a rebellious teenager determined to wear a spike through her tongue, or a bolt through her nose, you run the risk that, by your heavy-handed attempt to ban what you see as a bizarre and unattractive adornment, you simply stiffen resistance…</em></p> <p><br></p> <p>“<em>If Danish women really want to cover their faces, then it seems a bit extreme – all the caveats above understood – to stop them under all circumstances. I don’t propose we follow suit. A total ban is not the answer.</em>”</p> <p><br></p> <p>Mr Versi responded on Twitter: “<em>Boris Johnson says a woman in niqab is ‘looking like a bank robber’ or ‘looking like letter boxes’</em>.</p> <p><br></p> <p><em>“Is this language anything other than pandering to the far-right? Deeply disappointing that (the) Telegraph platforms this disgusting language.”</em></p> <p><br></p> <p>And Mr Lammy said: “<em>Muslim women are having their burkas pulled off by thugs in our streets and Boris Johnson’s response is to mock them for ‘looking like letter boxes’.</em></p> <p><br></p> <p><em>“Our pound-shop Donald Trump is fanning the flames of Islamophobia to propel his grubby electoral ambitions.”</em></p> <p><br></p> <p>Labour MP Stella Creasy said voters in a potential Conservative leadership contest should note that Mr Johnson appeared to be positioning himself as a figure in the mould of US right-winger and former Trump aide Steve Bannon.</p> <p><br></p> <p>She warned he was in danger of “going full Morrissey”, in reference to the singer who has been mired in controversy over comments on immigration, and said her advice to Mr Johnson was that “being a buffoon, not being a racist and misogynist, (is) more British”.</p> <p><br></p> <p>UK Prime Minister Theresa May’s official spokesman said: “The long-standing Government position on this is clear, that we do not support a ban on the wearing of the veil in public.</p> <p><br></p> <p><em>“Such a prescriptive approach would be not in keeping with British values of religious tolerance and gender equality.”</em></p> </html>",
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