Nota AI

Nota AI and SiMa.ai Sign Strategic Partnership for Physical AI Technology Collaboration

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Combining AI Optimization with High Performance and Efficiency MLSoCs to Lead the Physical AI Market Nota AI’s AI Optimization Technology Meets SiMa.ai’s MLSoC™ Product Family, Maximizing On-Device AI Performance for Physical AI Joint Development and Commercialization of AI Solutions for Industrial Environments including ITS, Safety, and Security Expanding Collaboration Across the Full Spectrum of Physical […]

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ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models

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This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Key Takeaways: Efficient coarse-to-fine pipeline: A two-stage reasoning pipeline that first processes low-resolution inputs to identify task-relevant regions and then re-encodes them at higher resolution, reducing computational cost while preserving essential information. Reward for reasoning-driven perception:

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Nota AI Signs Technology Collaboration Agreement with Samsung Electronics for Exynos AI Optimization “Driving the Popularization of On-Device Generative AI”

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Nota AI’s optimization technology integrated into Samsung Electronics’ Exynos AI Studio, enhancing efficiency in on-device AI model development   Seoul, South Korea Nov.26, 2025 — Nota AI, a company specializing in AI model compression and optimization, announced today that it has signed a collaboration agreement with Samsung Electronics’ System LSI Business to provide its AI

Nota AI Signs Technology Collaboration Agreement with Samsung Electronics for Exynos AI Optimization “Driving the Popularization of On-Device Generative AI” Read More +

NVIDIA Blackwell: The Impact of NVFP4 For LLM Inference

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This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. With the introduction of NVFP4—a new 4-bit floating point data type in NVIDIA’s Blackwell GPU architecture—LLM inference achieves markedly improved efficiency. Blackwell’s NVFP4 format (RTX PRO 6000) delivers up to 2× higher LLM inference efficiency

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Nota AI Demonstration of Nota Vision Agent, Next-generation Video Monitoring at the Edge

Algorithms & Models, Nota AI, Software, Summit 2025, Tools, Videos /

Tae-Ho Kim, CTO and Co-founder of Nota AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kim demonstrates Nota Vision Agent—a next-generation video monitoring solution powered by Vision Language Models (VLMs). The solution delivers real-time analytics and intelligent alerts across critical domains including industrial safety,

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Nota AI Demonstration of NetsPresso Optimization Studio, Streamlined with Visual Insights

Algorithms & Models, Nota AI, Software, Summit 2025, Tools /

Tairen Piao, Research Engineer at Nota AI, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Piao demonstrates NetsPresso Optimization Studio, the latest enhancement to Nota AI’s model optimization platform, NetsPresso. This intuitive interface simplifies the AI optimization process with advanced layer-wise analysis and automated quantization.

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Video Self-distillation for Single-image Encoders: Learning Temporal Priors from Unlabeled Video

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This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Proposes a simple next-frame prediction task using unlabeled video to enhance single-image encoders. Injects 3D geometric and temporal priors into image-based models without requiring optical flow or object tracking. Outperforms state-of-the-art self-supervised methods like DoRA

Video Self-distillation for Single-image Encoders: Learning Temporal Priors from Unlabeled Video Read More +

Nota AI Collaborates with Renesas on High-efficiency Driver Monitoring AI for RA8P1 Microcontroller

Algorithms & Models, News, Nota AI, Processors, Renesas, Software, Tools /

AI model optimization powers high-efficiency DMS on ultra-compact MCUs 50FPS real-time performance with ultra-low power and minimal system footprint SEOUL, South Korea, July 2, 2025 /PRNewswire/ — Nota AI, a global leader in AI optimization, today announced a collaboration with Renesas Electronics Corporation, a premier supplier of advanced semiconductor solutions, to deliver an optimized Driver Monitoring

Nota AI Collaborates with Renesas on High-efficiency Driver Monitoring AI for RA8P1 Microcontroller Read More +

Cluster Self-refinement for Enhanced Online Multi-camera People Tracking

Algorithms & Models, Blog Posts, Nota AI, Object Identification, Object Tracking, Software, Tools /

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Online multi-camera system for efficient individual tracking Accurate ID management with Cluster Self-Refinement (CSR) Improved performance with enhanced pose estimation In this paper, we introduce our online MCPT methodology, which achieved third place in Track1

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SplitQuant: Layer Splitting for Low-bit Neural Network Quantization for Edge AI Devices

Algorithms & Models, Blog Posts, Nota AI, Software, Tools /

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

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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