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Machine Vision Defect Detection: Edge AI Processing with Texas Instruments AM6xA Arm-based Processors

Texas Instruments’ portfolio of AM6xA Arm-based processors are designed to advance intelligence at the edge using high resolution camera support, an integrated image sensor processor and deep learning accelerator. This video demonstrates using AM62A to run a vision-based artificial intelligence model for defect detection for manufacturing applications. Watch the model test the produced units as […]

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“Introduction to Radar and Its Use for Machine Perception,” a Presentation from Cadence

Amol Borkar, Product Marketing Director, and Vencatesh Subramanian, Design Engineering Architect, both of Cadence, co-present the “Introduction to Radar and Its Use for Machine Perception” tutorial at the May 2025 Embedded Vision Summit. Radar is a proven technology with a long history in various market segments and continues to plays an increasingly important role in

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BrainChip Launches Akida Cloud for Instant Access to Latest Akida Neuromorphic Technology

Aligns with BrainChip’s long-term strategy to accelerate customer access to its innovations and reduce development cycles LAGUNA HILLS, Calif.–(BUSINESS WIRE)–BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based neuromorphic AI, today announced launch of the BrainChip Developer Akida Cloud, a new cloud-based access point

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Optimizing LLMs for Performance and Accuracy with Post-training Quantization

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Quantization is a core tool for developers aiming to improve inference performance with minimal overhead. It delivers significant gains in latency, throughput, and memory efficiency by reducing model precision in a controlled way—without requiring retraining. Today, most models

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Alif Semiconductor Demonstration of Face Detection and Driver Monitoring On a Battery, at the Edge

Alexandra Kazerounian, Senior Product Marketing Manager at Alif Semiconductor, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Kazerounian demonstrates how AI/ML workloads can run directly on her company’s ultra-low-power Ensemble and Balletto 32-bit microcontrollers. Watch as the AI/ML AppKit runs real-time face detection using an

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SiMa.ai Raises $85M to Scale Physical AI, Bringing Total Funding to $355M

Maverick Capital Led the Oversubscribed Round with StepStone Group Joining as a New Investor SAN JOSE, Calif., August 1, 2025 – SiMa.ai, a pioneer in delivering purpose-built hardware and software solutions for Physical AI, today announced it has raised $85 million in an oversubscribed round, bringing total capital raised to $355 million. The latest round

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Dense TOPS vs. Sparse TOPS: What’s the Difference?

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Not all TOPS are created equal — let’s demystify how TOPS measurement can reflect AI performance What you should know: While TOPS is a useful metric to evaluate the performance of neural processing units, it can be

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

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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SiMa.ai Expands Strategic Collaboration with Synopsys to Accelerate Automotive AI Innovation

Transforming ADAS and In-Vehicle Infotainment Breakthroughs with Innovative ML IP, Chiplets, and System-on-Chip Reference Architectures SAN JOSE, Calif., July 30, 2025 /PRNewswire/ — SiMa.ai, a pioneer in ultra-efficient machine learning system-on-chip (MLSoC) platform, today announced the next phase of their strategic collaboration with Synopsys, the leading provider of engineering solutions from silicon to systems, to

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

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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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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