This project will create a new set of weekly hands-on laboratory modules for Northwestern's CE 395: Embedded Artificial Intelligence course [1]. This upper-level undergraduate course introduces ...
Global spending on artificial intelligence is projected to reach $2.7 trillion in 2026, up 49.5 percent from a year earlier, ...
Healthcare Asia Magazine on MSN
Healthcare AI shifts from pilot projects to operational overhaul
Five capabilities convert AI insight into measurable results, including connected data. Healthcare organisations are shifting ...
Qualcomm (NasdaqGS:QCOM) is collaborating with Cornelis Networks on new AI data center networking and programmable compute infrastructure. Cornelis Networks has introduced its Active Compute Fabric, ...
Mayfair, United Kingdom, March 18, 2026 (GLOBE NEWSWIRE)-- The embedded AI market is witnessing rapid expansion as organizations increasingly deploy AI directly within hardware systems to enable ...
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The playbook for embedded AI in regulated industries: How to ship APIs, SDKs, and governance without slowing down
The final test of an embedded AI platform is not in the demo, but in the upgrade. In regulated industries, that test arrives with auditors in the room: a new SDK release lands at a hospital, a bank, ...
Retailers have spent the past several years experimenting with artificial intelligence, deploying chatbots, copilots, and analytics tools designed to boost efficiency and improve decision-making. But ...
Embedded World 2026 made one thing clear: AI is no longer confined to the cloud—it’s moving decisively onto the device. Across our demos and conversations, a consistent theme emerged: intelligence is ...
Agentic workflows for embedded systems development are here. That might make you feel uncomfortable. After all, you’ve seen how poorly general AI models can behave, hallucinating registers and ...
As AI moves into embedded systems, engineers must address new challenges around resilience, recovery, telemetry, and ...
The lowest-hanging fruit for applying AI to your embedded workflows is code reviews. Point AI at your firmware, and it'll catch bugs before they ever reach human code review. That's the pitch, anyway.
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