Antispoofing E-mail Technology Deployed

By verifying senders' claimed identities new tricks stop spoofers in their tracks

4 min read

31 January 2005--Most savvy computer users now rely on a variety of filters to screen e-mail for phrases such as "Lower your insurance rates now!" and "Hot XXX Action!" and instantly relegate the spam to the trash can and the sender to an e-mail blacklist. But what happens when spammers go undercover?

Junk senders are adopting the strategy called spoofing, which works like germs that mutate to elude the immune system. Spoofed e-mail bamboozles people into opening it by claiming to be from some legitimate sender, such as or The bogus domain names often project such authority that recipients comply with the spammers' requests for confidential information like credit card numbers and secure passwords. "If I had a nickel for every time I said, "I wish I could trust the sender," I'd be rich," says Miles Libbey, Yahoo! Inc.'s antispam product manager.

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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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