Intelligence is getting out of the data center. Our recent whirlwind of roadshows - from ISSCC and the AI Edge Summit to MWC and Embedded World - has painted a vivid picture of an industry at an inflection point. As the dust settles, one trend emerges as the linchpin of tomorrow’s innovation: ambient intelligence, powered not by the cloud, but by end-point intelligence. Here’s why the market is pivoting toward systems that think, sense, and act autonomously—without whispers to distant servers.
Smaller, smarter, and radically efficient - bringing brain-inspired intelligence to battery-powered devices, unlocking a new era of real-time, ultra-low power AI at the edge
Supercharging sensors with ultra-low-power AI for edge devices
Intelligence is getting out of the data center. Our recent whirlwind of roadshows - from ISSCC and the AI Edge Summit to MWC and Embedded World - has painted a vivid picture of an industry at an inflection point. As the dust settles, one trend emerges as the linchpin of tomorrow’s innovation: ambient intelligence, powered not by the cloud, but by end-point intelligence. Here’s why the market is pivoting toward systems that think, sense, and act autonomously—without whispers to distant servers.
Delft University of Technology spin-off's Spiking Neural Processor utilizes a proprietary analog-mixed signal computing architecture that harnesses spiking neural networks to deliver unprecedented, brain-inspired cognition performance within an ultra-low power envelope.
In an age where technology pervades every aspect of our lives, ambient intelligence promises a seamless fusion of information, efficiency, and intuitiveness. This technology endows our environments with the ability to anticipate our needs and adapt in real-time, paving the way for a future where digital interactions are as natural as breathing. Explore how Innatera’s cutting-edge neuromorphic technology is driving this revolution, making ambient intelligence not just a possibility, but a present reality.
Apparaten zoals fitnesstrackers meten continu sensordata zoals je hartslag. Met gepulste neurale netwerken kunnen hierin snel patronen worden gedetecteerd. Neuromorfische chips zoals die van het Nederlandse Innatera Nanosystems doen dat heel energiezuinig.