Learn about the advantages of AI on-device, such as improved user privacy and enhanced application performance. Unlock the power of mobile AI today.
Elevate your IIoT applications with DFI’s flexible and scalable edge computing solutions, powered by AI accelerators and the latest advancements in Edge AI. From industrial-grade motherboards to System-on-Modules and embedded systems, our innovative solutions push the boundaries of what’s possible...
Artificial Intelligence and ML at the Edge Federated learning and Privacy respecting ML on the Edge Generative AI Continuum – from Edge to Cloud Edge Communications Edge Computing and Network Functions Virtualization Edge Access Networks and Systems Edge Computing for 5G/6G Networks and Systems ...
reliability for edge computing security and privacy issues storage and data management technologies for edge computing techniques and algorithms for machine learning, federated learning, and AI at the edge edge AI technologies (e.g., copilots, language models, and foundation models) in developing, ...
On-device generative AI brings many exciting advantages, including cost, privacy, performance and personalization – offering significant enhancements in utility, productivity and entertainment with use cases across industries, from the commonplace to th
• Edge Storage Systems • Distributed Machine Learning for Edge Analytics and Services • Edge-driven Data Analytics • Lightweight Virtualization for Edge Computing • Distributed Consensus Algorithms and Ledger Technologies • Infrastructure and Toolkit for Edge AI ...
We are making on-device AI ubiquitous Intelligence is moving towards edge devices. Increased computing power and sensor data along with improved AI algorithms are driving the trend towards machine learning be run on the end device, such as smartphones or automobiles, rather than in the cloud. An...
The creation of this pre-verified reference platform is designed to shorten development cycles and reduce risk for RISC-V-based chip designs for automotive, enterprise computing and edge AI applications. MIPS develops high-performance RISC-V CPU IP for AI, automotive and general-purpose computing. ...
Comprehensive services for edge-to-cloud AI systems Antmicro’s ability to create advanced edge implementations for device fleets, including building both the hardware setup, the AI running on top of it and the entire device management and the update flow is highly valued by our customers. Our ...
Evaluating and accelerating vision transformers on GPU-based embedded edge AI systemsVision transformerGPULow-power system-on-chipMany current embedded systems comprise heterogeneous computing components including quite powerful GPUs, which enables their application across diverse sectors. This study demonstrates...