Software

When, Where and How AI Should Be Applied

Phil Koopman dissects strengths and weaknesses of machine learning based AI AI does amazing stuff. No question about it. But how hard have we really thought about “machine-learning capabilities” for applications? Phil Koopman, professor at Carnegie Mellon University, delivered a keynote on Sept. 11, 2024 at the Business of Semiconductor Summit, (BOSS 2024), concentrating on […]

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“Using AI to Enhance the Well-being of the Elderly,” a Presentation from Kepler Vision Technologies

Harro Stokman, CEO of Kepler Vision Technologies, presents the “Using Artificial Intelligence to Enhance the Well-being of the Elderly” tutorial at the May 2024 Embedded Vision Summit. This presentation provides insights into an innovative application of artificial intelligence and advanced computer vision technologies in the healthcare sector, specifically focused on… “Using AI to Enhance the

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AI Model Training Cost Have Skyrocketed by More than 4,300% Since 2020

Over the past five years, AI models have become much more complex and capable, tailored to perform specific tasks across industries and provide better efficiency, accuracy and automation. However, the cost of training in these systems has exploded. According to data presented by AltIndex.com, AI model training costs have skyrocketed by more than 4,300% since

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BrainChip Demonstration of LLM-RAG with a Custom Trained TENNs Model

Kurt Manninen, Senior Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Manninen demonstrates his company’s Temporal Event-Based Neural Network (TENN) foundational large language model with 330M parameters, augmented with a Retrieval-Augmented Generative (RAG) output to replace user

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Advex AI Demonstration of Accelerating Machine Vision with Synthetic AI Data

Pedro Pachuca, CEO at Advex AI, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Pachuca demonstrates Advex’s ability to ingest just 10 images and produce thousands of labeled, synthetic images in just hours. These synthetic images cover the distribution of variations

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“Testing Cloud-to-Edge Deep Learning Pipelines: Ensuring Robustness and Efficiency,” a Presentation from Instrumental

Rustem Feyzkhanov, Staff Machine Learning Engineer at Instrumental, presents the “Testing Cloud-to-Edge Deep Learning Pipelines: Ensuring Robustness and Efficiency” tutorial at the May 2024 Embedded Vision Summit. A cloud-to-edge deep learning pipeline is a fully automated conduit for training and deploying models to the edge. This enables quick model retraining… “Testing Cloud-to-Edge Deep Learning Pipelines:

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AI PCs to Make Up 60% of Total PC Sales in 2027, 3x More than This Year

Although traditional PCs remain the number one choice for most consumers buying a new device, the surging demand for AI-driven applications has boosted the popularity of AI PCs, both in consumer and professional sectors. This trend is expected to continue in the following years, with AI PC gaining a much bigger market share than this

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How AI and Smart Glasses Give You a New Perspective on Real Life

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. When smart glasses are paired with generative artificial intelligence, they become the ideal way to interact with your digital assistant They may be shades, but smart glasses are poised to give you a clearer view of everything

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“Real-time Retail Product Classification on Android Devices Inside the Caper AI Cart,” a Presentation from Instacart

David Scott, Senior Machine Learning Engineer at Instacart, presents the “Real-time Retail Product Classification on Android Devices Inside the Caper AI Cart” tutorial at the May 2024 Embedded Vision Summit. In this talk, Scott explores deploying an embedded computer vision model on Android devices for real-time product classification with the… “Real-time Retail Product Classification on

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Using Generative AI to Enable Robots to Reason and Act with ReMEmbR

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision-language models (VLMs) combine the powerful language understanding of foundational LLMs with the vision capabilities of vision transformers (ViTs) by projecting text and images into the same embedding space. They can take unstructured multimodal data, reason over

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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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