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A new MCU combines AI-native acceleration with integrated high-bandwidth DRAM scalable to hundreds of megabytes.

Edge AI deployment brings inference closer to endpoints, reducing latency, supporting offline use, and limiting unnecessary ...

Edge computing software moves processing closer to users, cutting latency and bandwidth use while adding security, hardware and management trade-offs, too.

From Blackwell Ultra systems for today's AI deployments to next-generation Rubin, Vera CPU and Spectrum-X, Compal combines ...

Energy firms have deployed seabed edge computing systems to cut latency and automate deepwater oil and gas operations, a ...

Applied Materials launched its $5B EPIC Center in Silicon Valley to unite chipmakers and accelerate AI semiconductor R&D by ...

Learn how to build, secure, and deploy a Cloudflare Workers API in 12 steps, with Wrangler, KV, Durable Objects, rate ...

Researchers in Shanghai have developed a deep reinforcement learning framework that coordinates edge caching across multiple nodes in smart industrial IoT systems, improving latency, hit rates and ...

At SaaS scale, one Cloudflare Worker owning every edge feature becomes a deployment bottleneck. A gateway-and-feature-worker split over service bindings decouples teams and blast radius with no extra ...

AMD launches Versal AI Edge Series Gen 2, combining AI inference, sensor processing, and embedded compute in a single chip for edge applications.

Lucas Kloberdanz-Dyck is a writer for Collider. He grew up creating lists, stories, and worlds, which led to his love of anime and video games. He attended Sheridan College where he earned an Honours ...