Last week there was a story in the New York Times about Sberbank, Russia's largest retail bank, intending to roll out new ATMs that will have built-in lie detectors  as a way to prevent customer credit card fraud.

According to the Times, "Consumers with no previous relationship with the bank could talk to the machine to apply for a credit card, with no human intervention required on the bank’s end."

The ATM will scan a person's passport, take their fingerprints as well as perform a 3-D scan of the person's face. Next, the ATM will ask a series of questions concerning the person's employment or debts, and voice-analysis software will then indicate whether the person is being truthful or not. The software is said to detect "nervousness or emotional distress" which might mean the person is "dissembling." The bank will use the information gathered, along with other information including the person's credit history, to decide whether they get a credit card.

Sberbank, which has the Russian government as its majority owner, says it will follow all applicable privacy laws.

According to the Times article, credit approval by ATM already is a "fact of financial life in Turkey."

In 2009, I blogged about the largest retail bank in South Africa, Absa, rolling out ATMs that will pepper spray a person if they try to tamper with it in some way
I wonder how long it will take before a lie-detecting, pepper spraying ATM is deployed somewhere.

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The Future of Deep Learning Is Photonic

Computing with light could slash the energy needs of neural networks

10 min read

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

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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