Wednesday, November 11, 2015


November 6, 2015
Google this week unveiled Smart Reply for Gmail on iOS and Android. It uses machine intelligence and neural networks to suggest up to three possible responses for incoming email, based on the content of those emails. The system learns from users' responses to suggestions to fine-tune its offerings. Smart Reply will be available in English in Google Play and Apple's App Store. [More...]

facebook-music-stories

Facebook on Thursday announced Music Stories, a feature in its iPhone app that lets users post links to music they like with comments.

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 Clicking the link will launch a 30-second preview of the music, which is streamed from either Apple Music or Spotify. Listeners then can purchase the music from the service or save it to their account there. [More...]

Deep Learning App Targets Malware

deep-learning-malware
Be perfect,be yourself.

Here's the problem with most programs aimed at killing malicious software: 


They need someone to tell them something's malicious.
What if, however, the programs had the smarts to identify bad code on their own? That's what a company called Deep Instinct says its security solution, launched last week, can do.
The offering works its magic with a technology called "deep learning."
"Deep learning draws its inspiration from the human mind. It organizes itself into a structure of synthetic neurons," explained Bruce Daley, principal analyst at Tractica.
"It's another term for neural networks," he told TechNewsWorld. "It was rebranded because there was so little progress with neural nets.

Better Brain Emulation

Deep learning applications will be a hot commodity in the future, becoming a $10 billion market by 2024, Tractica forecasts.
A fertile area for those apps may be security, which is what Deep Instinct is counting on.
Classical neural networks in the 1980s and '90s had one or two layers of several hundred neurons.
"Nice results, but nothing spectacular," observed Deep Instinct CTO Eli David.
Now with advances in hardware, processing power and algorithms, deep neural networks that are more than 10 layers deep with hundreds of millions of neurons can be created. That kind of power can be harnessed to approach software development in a different way