Edge IoT keeps the lights on and responders moving, but without rethinking security for harsh, disconnected environments, the ...

Silicon Labs is poised to benefit as AI processing moves from data centers to embedded devices on the edge of networks.

Nordic Semiconductor's product announcements promise gains in AI and processing in edge environments and better local compute ...

The nRF54LM20B SC pairs the Axon NPU with 2 MB NVM, 512 KB RAM, a 128 MHz Arm® Cortex-M33 plus RISC-V coprocessor, high-speed ...

Meet the ASUS IoT RUC-1000 Series—the world’s first rugged 19" 2U edge-AI GPU system with PCIe 5.0 and 600 W GPU ...

For AI to fully integrate into everyday consumer life, end-user devices must be able to process AI workloads, rather than solely relying on cloud computing. On-device AI can reduce costs and latency, ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors.

Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...

Today, we are witnessing the exponential growth IoT is experiencing. Every second, 127 devices are getting connected with an expected forecast for 43 billion IoT devices by 2027. As this market grows ...

AT&T bolstered enterprise IoT support with a performance monitoring platform that taps into metrics from its traditional 4G ...

Internet of Things technologies, known IoT, have changed the operational paradigm of the defense industry, with military IoT applications and devices improving mission capabilities across a wide ...

The Internet of Things edge refers to the part of an IoT architecture that is closest to the end devices or sensors that collect data. In simple terms, it is the point where devices and data meet.