AWS Startups Blog

Tag: Deep Learning

Blue Hexagon on Combating Automated Attacks with Deep Learning

Saumitra Das, CTO & Co-founder, and Ali Ahmadzadeh, Head of AI, at Blue Hexagon, share the volume and velocity challenges in the threat landscape today. They deep-dive into what a zero-day attack is, how it can shutdown your startup, and how deep learning can effectively solve these challenges. Learn how Blue Hexagon uses the cloud to accelerate deep learning for their network threat protection platform and the infrastructure considerations you can take to protect your startup’s platform early-on.

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Blue Hexagon Cybersecurity Fights Fire With Fire Using Deep Learning

Business technology may be growing increasingly complex, but when it comes to cybersecurity, it remains a game of cat and mouse. Hackers and cyber criminals are currently creating malware at an unprecedented level to infiltrate websites around the world, disrupt business, steal company secrets, shut down sites, and take customers’ information. In 2017 alone, over 120 million new malware samples were detected. And even if your business deploys state-of-the-art signature-based detection systems and malware sandboxing, it can quickly get overwhelmed by a daily deluge of new threats. Sunnyvale, Calif-based Blue Hexagon, however, thinks it’s cracked the problem.  

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Density CEO Andrew Farah

What if you could AB test the physical world? Density makes it possible

These days, distributed teams have plenty of enterprise software options that make collaborating feel seamless. But actual, face-to-face, IRL workplaces have been somewhat left behind. That’s where Density comes in. The San Francisco-based startup has built a piece of enterprise hardware for corporate campuses that measures how space is used. Many believe the technology is key to optimizing how all physical space is used.

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What Is Deep Learning? A Primer with Bonsai’s Mark Hammond

Over the past few years, the tech conversation has been dominated by references to AI and deep learning. Some people liken it to websites in 1995—everybody knew they needed one, but they didn’t all know what they were. Today, there are a lot of people talking about AI without having a real grasp on how deep learning works or even what it means. So what is it, really?

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