AI can translate languages, analyze medical data, and hold conversations, yet there remains a gap between artificial and biological intelligence. Why?
In my latest article, I explore key differences:
Always-On vs. On-Demand: Our brains don’t “switch off” or wait for prompts. Continuous Learning: Brains learn and adapt in real-time without cloud reliance. Energy Efficiency: The brain’s power is a fraction of what today’s AI consumes. Bridging these gaps will require a fundamental rethink of today’s AI algorithms and hardware.
Manufacturing is changing, rapidly. Pressed by efficiency, and in the middle of a race to embrace automation, an overdue revolution is unfolding, driven by the power of artificial intelligence (AI) and machine vision. The traditional methods of quality inspection, reliant on hard-to-find human expert to manually scrutinizing products, are giving way to a new paradigm that promises to redefine what quality and consistency is in modern Manufacturing plants.
Manufacturing, Sustainability And Profitability: How Deep Learning Can Improve our Environmental Impact This article was originally published on Forbes In