The rapid digitalization of enterprise environments, coupled with a surge in sophisticated cyber threats, evolving security regulations, and the rise of quantum computing technology, has created a perfect storm in the cybersecurity landscape that demands heightened levels of agility and resiliency. To combat this, organizations must remain proactive in their approach to cyber defense and compliance. In the latest Lattice Security Seminar, Lattice security experts sat down with partners from AMI ...
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We’ve published a couple blog posts exploring how support for AI-powered imaging systems in embedded devices operating at the network edge can benefit specific applications in smart factories and smart homes. But embedded vision can also benefit the retail customer experience.
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A new generation of AI-based edge computing applications demand a wide range of performance requirements. But how can developers build edge solutions that consume little power and occupy minimal footprint at low cost without compromising performance?
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The first time I read Isaac Asimov's I, Robot as a teenager, I was instantly fascinated by the humanoid robots in the stories. These machines could see, hear and interact with the surrounding world with human-like abilities. These astonishing capabilities fed my imagination. I even recall asking my dad if these machines could really “see.” Now, as an engineer, I understand the importance of machine vision and the power of "sight” for robotics.
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