Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the “Why It’s Critical to Have an Integrated Development Methodology for Edge AI” tutorial at the May 2025 Embedded Vision Summit. The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings […]
This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. This study proposes an AI model preprocessing method for improved quantization accuracies on edge AI devices which do not support advanced quantization methods due to their limitations. By splitting layers based on parameter clustering, the
SplitQuant: Layer Splitting for Low-bit Neural Network Quantization for Edge AI Devices Read More +
Amol Borkar, Product Marketing Director at Cadence, presents the “Solving Tomorrow’s AI Problems Today with Cadence’s Newest Processor” tutorial at the May 2025 Embedded Vision Summit. Artificial intelligence is rapidly integrating into every aspect of technology. While the neural processing unit (NPU) often receives the majority of the spotlight as the ultimate AI problem solver,
Hsinchu, Taiwan –June 05, 2025 – Andes Technology, a leading supplier of high-performance, low-power 32/64-bit RISC-V processor cores and AI acceleration solutions, proudly announces the launch of AndesAIRE™ AnDLA™ I370, its latest Deep Learning Accelerator (DLA), engineered to bring advanced neural network performance to cost-sensitive edge and endpoint AI applications. Building on the success of
Special image sensors such as time-of-flight sensors and event-based sensors perform tasks that go beyond mere imaging: Speakers from Sony Semiconductor Europe and FRAMOS will report on the latest advances in this field. Munich – June 6th 2025 – Special image sensors such as time-of-flight sensors (ToF sensors) and event-based sensors have made remarkable technical
Advances in Time-of-flight and Event-based Vision Read More +
2025-06-05 – Chips&Media unveiled WAVE-N that is a custom NPU designed to work with imaging application at high-quality and high-resolution for edge device market at Embedded Vision Summit 2025 in Santa Clara San Jose, California. Key notes Extreme efficiency, up to 90% of MAC utilization, for Modern CNN Computation Highly optimized for real-time video processing
Chips&Media Unveils WAVE-N: A Custom NPU for High-quality, High-resolution Imaging Read More +
Tony Lewis, Chief Technology Officer at BrainChip, presents the “State-space Models vs. Transformers for Ultra-low-power Edge AI” tutorial at the May 2025 Embedded Vision Summit. At the embedded edge, choices of language model architectures have profound implications on the ability to meet demanding performance, latency and energy efficiency requirements. In this presentation, Lewis contrasts state-space
News Highlights Brium’s world-class compiler and AI software experience will strengthen AMD’s ability to deliver highly optimized AI solutions across the entire stack Will reduce developer dependencies on specific hardware configurations and enable accelerated out of the box AI performance Brium’s domain-specific expertise will expand AMD’s market reach across industries such as healthcare, life sciences,
AMD Acquires Brium to Strengthen Open AI Software Ecosystem Read More +
Ettlingen, June 04, 2025. Vision Components will showcase its new VC MIPI Bricks system at the Computer Vision and Pattern Recognition Conference (CVPR), held from June 11-15 in Nashville, Tennessee. The modular VC MIPI Bricks system comprises perfectly matching camera modules, accessories and services, right through to ready-to-use MIPI cameras and complete embedded vision systems.
Vision Components at CVPR: Plug&play Embedded Vision with VC MIPI Bricks Read More +
Origin Evolution NPU IP uses Expedera’s unique packet-based architecture to achieve unprecedented NPU efficiency. Highlights Expedera launches its Origin Evolution™ NPU IP, bringing hardware acceleration to meet the computational demands of running LLMs on resource-constrained edge devices. New purpose-built hardware and software architecture runs LLMs and traditional neural networks with ultra-efficient PPA, providing fully scalable
Expedera’s Origin Evolution NPU IP Brings Generative AI to Edge Devices Read More +
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