In 2025, the FBI warned that criminals were exploiting end-of-life routers that no longer receive security updates and selling access to them as proxies. A month later, it flagged the BADBOX 2.0 ...

Streamlined development platforms are now critical to edge AI deployment as larger AI/ML models raise complexity, time, and cost across embedded workflows.

FPGAs also provide hardware adaptability, deterministic processing, and high-speed I/Os, making them suited for physical AI applications. The growth of physical AI, which require a much richer set of ...

Artificial intelligence is reshaping data center architecture by changing where system bottlenecks occur. For years, networking discussions focused primarily on scale-out communication between servers ...

Axiado Corporation has announced a collaboration with Arm to integrate its Data Center Secure Control Module (DC-SCM) cards into the Arm AGI CPU server platform. The integration combines ...

Microchip Technology Inc. has expanded its data center portfolio with new connectivity, storage, and acceleration capabilities designed to meet the performance, security, and scalability needs of AI ...

Qorvo Inc. has introduced an X-band RF front-end solution designed for active electronically scanned array (AESA) radar systems. The architecture combines transmit drive, receive performance, and RF ...

On Variscite’s i.MX 93 and i.MX 95 SoMs, the implementation can leverage the processor’s security architecture, including NXP’s EdgeLock Secure Enclave as the root of trust. This approach allows ...

Silicon Labs has expanded its developer platform with new tools for AI-assisted embedded development, hardware and software validation, open-source collaboration, and edge AI lifecycle management.

Here’s a roundup of this week’s must-read articles. We’ll look into the latest developments on chiplets at the edge, engineering cyber-resilient software-defined vehicles, physical edge computing, the ...