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Physicists in England claim they have discovered how to create matter from light, by smashing together individual massless photons– a feat that was first theorized back in 1934, and has been considered practically impossible until now. If this new discovery pans out, the final piece of the physics jigsaw puzzle that describes how light and matter interact would be complete. No one’s quite sure of the repercussions if matter can indeed be produced from photon-photon collision, but I’m sure something awesomely scientific will emerge before long.

Way back in 1930, British theoretical physicist Paul Dirac theorized that an electron and its antimatter counterpart (a positron) could be annihilated (combined) to produce two photons. Then, in 1934, two physicists — Breit and Wheeler — proposed that the opposite should also be true: That two photons could be smashed together to produce an electron and positron (a Breit-Wheeler pair). In other words, that light can be converted into matter, and vice versa — or, to phrase it another way, E=mc2 works in both directions. This would close one of the last gaps in particle physics that has been theorized, but has proven very hard to prove through observation.

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It’s clearly some kind of jewelry or small weapon case, not a freaking laptop.
But just for arguments sake, why would advanced time travelers be using laptops at all? Why not a tablet? Oh god, now they’re going to go over every single ancient depiction of a person looking at a tablet and say it’s from the future. That would have made the library at Alexandria the ancient equivalent to a Best Buy big box store in our time…

Oh god, what have I done?
Too bad I can’t go back in time and…errr.
wink


A statue showing a young girl holding up what appears to be a laptop — complete with USB ports — has sparked a frenzy among conspiracy theorists.

The statue, ‘Grave Naiskos of an Enthroned Woman with an Attendant’ is in The J. Paul Getty Museum in Malibu, California.

‘I am not saying that this is depicting an ancient laptop computer,’ said YouTuber StillSpeakingOut.

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Researchers have constructed the first comprehensive model of how neurons in the brain behave when faced with a complex decision-making process, and how they adapt and learn from mistakes.

The mathematical , developed by researchers from the University of Cambridge, is the first biologically realistic account of the process, and is able to predict not only behaviour, but also neural activity. The results, reported in the Journal of Neuroscience, could aid in the understanding of conditions from and addiction to Parkinson’s disease.

The model was compared to experimental data for a wide-ranging set of tasks, from simple binary choices to multistep sequential . It accurately captures behavioural choice probabilities and predicts choice reversal in an experiment, a hallmark of complex decision making.

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Bioprinting companies can be successful at start-up investment conferences, although they are sometimes outshone by more immediately accessible products. Bioprinters have the potential to drastically change life expectancy and quality in the long term, but can “only” help out with scientific research in the short term and that, often, is not exciting enough for start-up awards.

That was not the case at the recent SVOD (Silicon Valley Open Doors) Europe, an investment conference that began in 2005 and went global in 2015. The event then came to Europe for the first time in an effort to connect the Eastern European tech community with more established ecosystems. This year, the event took place in Ireland and “local” startupper Jemma Redmond took home the top prize with the Ourobotics 10 material 3D bioprinter.

I have been following Jemma and her team’s progress, from the pre-conference preparation all the way up to her presentation, via Facebook feed and other updates. The event took place at Google’s Dublin HQ and the winning team received, among other things, $5,000 in Google Adwords credits. Clearly happy about this success, Jemma told me they faced off against 25 other teams.

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