Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

As AI workloads move from centralized cloud infrastructure to distributed edge devices, design priorities have fundamentally ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

Denis Mandich, CTO of Qrypt, a quantum cybersecurity company, and founding member of the Quantum Economic Development ...

M5Stack has just launched the "AI Pyramid Computer Box" AI mini PC powered by an Axera AX8850 octa-core Cortex-A55 SoC with a 24 TOPS NPU and featuring an ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Draganfly Inc. (NASDAQ: DPRO; CSE: DPRO; FSE: 3U8A) (“Draganfly” or the “Company”), an award-winning developer of drone solutions, software, and robotics, today announced an award to provide Flex FPV ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

The new coding model released Thursday afternoon, entitled GPT-5.3-Codex, builds on OpenAI’s GPT-5.2-Codex model and combines insights from the AI company’s GPT-5.2 model, which excels on non-coding ...

New developments that will leverage a focus on cloud-native technologies, including serverless and containers, will change the level of I/O requirements. Internet egress (i.e., the on-ramps and ...

Armada and Nscale have signed a letter of intent (LOI) to deliver both large-scale and edge AI infrastructure for public sector and enterprise customers worldwide. Nscale is a European-headquartered ...