PicoAI is a lightweight architecture optimized for resource-constrained microcontrollers and embedded microprocessors, and doesn’t require any neural network accelerators or GPUs to run. It supports ...
Multi-modal sensors generate data that edge AI can turn into actionable insights, provided new devices can be integrated with ...
Industrial AI at the edge merges context-aware intelligence with scalable compute to achieve new levels of operational ...
India has launched ARKA GKT-1, its first intelligent-power chip for edge AI and smart energy. Developed by Azimuth AI and ...
From ground-based autonomous systems to orbit, Latent AI now powers edge AI across environments previously considered impossible-- delivering DoD Impact Level 5/6 certification and battle-tested ...
Ceva, Inc. (NASDAQ: CEVA), the leading licensor of silicon and software IP for the Smart Edge, announced today that its Neu-Pro-Nano low power Neural Processor Unit (NPU) has received a 2025 IoT Edge ...
Edge AI deploys artificial intelligence algorithms directly on devices at the source of data generation rather than relying ...
The shift toward on-device intelligence is being driven by latency, privacy, and cost concerns that companies are confronting ...
There is hidden potential. SDVs are rapidly evolving as in-vehicle edge AI capabilities become more streamlined and ...
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