Rethinking The Role Of CPUs In AI: A Practical RAG Implementation


In many enterprise environments, engineers and technical staff need to find information quickly. They search internal documents such as hardware specifications, project manuals, and technical notes. These materials are often scattered, making traditional search inefficient. These documents are often confidential or proprietary. This constraint prevents these documents from being processed by... » read more

Next Generation AI: Transitioning Inference from the Cloud to the Edge


Deploying AI inference at the edge—on smartphones, appliances, industrial devices, and vehicles—promises faster, private, and energy-efficient intelligence. Expedera’s packet-based NPU architecture delivers up to 90% utilization and dramatic reductions in memory movement compared to conventional approaches, enabling next-generation real-time AI capabilities. This white paper examines tech... » read more

Charting The Course For A Truly Multi-Modal Device Edge


The world is witnessing an AI tsunami. While the initial waves of this technological shift focused heavily on the cloud, a powerful new surge is now building at the edge. This rapid infusion of artificial intelligence is set to redefine IoT devices and applications, from sophisticated smart homes to highly efficient industrial environments. This evolution, however, has created significant fr... » read more

Small Language Models Create New Security Risks


The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into increasingly complex hardware, and the behavior and interactions of both over time. AI data centers still garner the most attention due to massive investments and an ongoing flood of deals and acquisitions, but the edge is quietly starting to take shape for several reaso... » read more

Edge AI Safety: Agentic AI Architecture That Leverages 3D To Integrate A Dedicated Safety Layer (Princeton, HKUST, NC State Univ.)


A new technical paper titled "3D Guard-Layer: An Integrated Agentic AI Safety System for Edge Artificial Intelligence" was published by researchers at Princeton University, Hong Kong University of Science and Technology, and North Carolina State University. Abstract "AI systems have found a wide range of real-world applications in recent years. The adoption of edge artificial intelligence, ... » read more

Edge AI Is Starting To Transform Industrial IoT


A slew of wireless and increasingly multi-modal sensors is being targeted at the Industrial Internet of Things (IIoT), setting the stage for significant improvements in efficiency, higher yield, and reduced downtime. Wired IIoT devices, such as smart energy meters and breakers, industrial network gateways, and environmental sensors already are well established in factory settings. They have ... » read more

Why Openness Matters For AI At The Edge


AI continues to migrate towards the edge and is no longer confined to the data center. Edge AI brings several key advantages, delivering intelligence closer to where data is generated, improving latency for critical functions, ensuring privacy by limiting transmitted data, and reducing energy consumption for AI. Edge AI encompasses systems performing AI inferencing directly where data is cre... » read more

Breaking The Compromise: Low Power And High Performance For The Intelligent Edge


By 2030, over 75 billion devices will be connected worldwide, each expected to think, learn, and respond instantly (Statista, IoT Connected Devices Forecast). The world is connecting faster than ever. With tens of billions of smart devices coming online, intelligence can no longer live in the cloud alone. Edge AI is emerging as the new frontier, bringing smarter, safer, and more res... » read more

Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains


Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by their constrained computational resources and low power requirements, presents unique challenges and opportunities. As the digital world continues to generate increasingly complex and high-volume da... » read more

Three-Terminal Memtransistors for Decentralized Edge Applications (Penn State, NIWC)


A new technical paper titled "Large-scale crossbar arrays based on three-terminal MoS2 memtransistors" was published by researchers at Penn State University and Naval Information Warfare Center Pacific. Abstract "Memristive crossbar architectures are promising as efficient, low-power inference engines for edge AI applications. However, inputs with minor differences often yield similar outpu... » read more

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