For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...
Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...
The conversation about 6G begins with familiar building blocks: Multiple-Input Multiple-Output (MIMO) and full duplex ...
BigBear.ai is aggressively diversifying its AI portfolio, targeting border security and customs markets through strategic ...
Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...
The partnership between Lantronix and Safe Pro Group reflects a broader transformation in how intelligence, security and autonomy converge at the edge. As defense and autonomous systems evolve, the ...
Lantronix is at the center of an expanding ecosystem in which payload, compute and connectivity come together to power the next generation of unmanned and autonomous systems,” said Saleel Awsare, ...
The computational engine that interprets fused sensor data typically leverages convolutional neural networks (CNNs). Perception frameworks such as Prism AI Auto software analyze thermal data in real ...
Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.
It's much more than network storage.
Artificial intelligence and machine learning have transformed how we process information, make decisions, and solve complex problems. Behind every ...