The London Stock Exchange suffered yet another technical problem today. This time, it caused trading to be suspended for some 4 hours.

According to this morning story at the London Telegraph, trading was halted a few minutes after the market opened at 0800 London time. The market then reopened at 1215, this afternoon Telegraph story reports.

This is the second major problem with the LSE's new trading system since it was made officially operational on the 14th of February. The previous incident happened on the 15th of February. The Telegraph afternoon's article says that the LSE blamed the problem on a "real time data dissemination issue."

Traders were naturally irritated with this latest gaffe.

This is also the second time this week that LSE executive management was embarrassed by the poor performance of its trading operations. As the Telegraph notes:

"On Tuesday, Borsa Italiana, a unit of LSE, suspended trading for six-and-a-half hours because of a technical glitch a day after a day after the country’s benchmark FTSE MIB Index [see PDF on FTSE MIB Index here] plunged amid concern about unrest in Libya."

The technical glitch was attributed by Borsa Italiana as "a technical issue on DDMPlus, real time data feed service used by the majority of domestic operators."

The LSE is facing an official probe into the Borsa Italiana outage by Italian regulators. UK regulators may decide to start looking into the cause of today's outage as well.

The LSE apologized, of course, for the disruptions.

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The Future of Deep Learning Is Photonic

Computing with light could slash the energy needs of neural networks

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This computer rendering depicts the pattern on a photonic chip that the author and his colleagues have devised for performing neural-network calculations using light.

Alexander Sludds
DarkBlue1

Think of the many tasks to which computers are being applied that in the not-so-distant past required human intuition. Computers routinely identify objects in images, transcribe speech, translate between languages, diagnose medical conditions, play complex games, and drive cars.

The technique that has empowered these stunning developments is called deep learning, a term that refers to mathematical models known as artificial neural networks. Deep learning is a subfield of machine learning, a branch of computer science based on fitting complex models to data.

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