If an artificial neural network can be trained to recognize a face, why can't it be trained to recognize potentially malicious code? Well, according to Israeli startup Deep Instinct, it can. The company is building a deep-learning antivirus suite that can (reportedly) spot new malware with 20% higher accuracy than today's best protection software. The claims are unverified, but the company's approach isn't without support: researchers at both Microsoft and Invincea have published papers demonstrating the potential of deep learning malware detection systems. One experiment found 95% of new malware without updates. That's encouraging.

Like most deep learning initiatives, self-learning malware detection software is still in the early stages -- but if successful, it could be a game changer. Check out TechnologyReview at the source link below for the full story.

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