Algorithms

SiloGen Launches a Consortium to Build the World’s Largest Open LLM

August 20, 2023 – Europe’s largest private AI lab Silo AI, with its large language model (LLM) arm SiloGen, is today announcing a large-scale initiative on open and trustworthy LLMs. SiloGen launches a consortium together with TurkuNLP, a research group at the University of Turku, to develop a family of open LLMs, including the world’s […]

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NVIDIA TAO Toolkit “Zero to Hero”: A Simple Guide for Model Comparison in Object Detection

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 2 of our NVIDIA TAO Toolkit series, we describe & address the common challenges of model deployment, in particular edge deployment. We explore practical solutions to these challenges, especially on the issues surrounding model comparison. ‍Here

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Preserving Privacy and Security In a Generative AI World

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. AI and privacy: How on-device AI enhances privacy and security The rapid adoption of generative artificial intelligence (AI) has opened a new world promising explosive creativity, convenience and productivity. With large language models (LLMs), as well as

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Why is Explaining Machine Learning Models Important?

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Why is explaining machine learning models important? The main focus in machine learning projects is to optimize metrics  like accuracy, precision, recall, etc. We put effort into hyper-parameter tuning or designing good data pre-processing. What if these

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The Role of the Inertial Measurement Unit in 3D Time-of-flight Cameras

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. An Inertial Measurement Unit (IMU) detects movements and rotations across six degrees of freedom, representing the types of motion a system can experience. When paired with Time-of-flight (ToF) cameras, it ensures accurate spatial understanding and

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Understanding Today’s Edge AI

This blog post was originally published at Silo AI’s website. It is reprinted here with the permission of Silo AI. Similarly to AI, edge AI should be approached as an umbrella term. Edge AI is not a model but an entire technology stack. Like AI, there’s an incredible amount of different technologies and methods underneath

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Free Webinar Explores How ISPs are Key to Optimizing Image Quality and Computer Vision Accuracy

On January 24, 2024 at 9 am PT (noon ET), Suresh Madhu, Head of Product Marketing, and Arun Asokan, Head of the ISP Division, both of e-Con Systems, will present the free hour webinar “Mastering Image Quality: The Power of Imaging Signal Processors in Embedded Vision,” organized by the Edge AI and Vision Alliance. Here’s

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“Learning Compact DNN Models for Embedded Vision,” a Presentation from the University of Maryland at College Park

Shuvra Bhattacharyya, Professor at the University of Maryland at College Park, presents the “Learning Compact DNN Models for Embedded Vision” tutorial at the May 2023 Embedded Vision Summit. In this talk, Bhattacharyya explores methods to transform large deep neural network (DNN) models into effective compact models. The transformation process that he focuses on—from large to

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“Introduction to Computer Vision with CNNs,” a Presentation from Mohammad Haghighat

Independent consultant Mohammad Haghighat presents the “Introduction to Computer Vision with Convolutional Neural Networks” tutorial at the May 2023 Embedded Vision Summit. This presentation covers the basics of computer vision using convolutional neural networks. Haghighat begins by introducing some important conventional computer vision techniques and then transition to explaining the basics of machine learning and

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“Selecting Tools for Developing, Monitoring and Maintaining ML Models,” a Presentation from Yummly

Parshad Patel, Data Scientist at Yummly, presents the “Selecting Tools for Developing, Monitoring and Maintaining ML Models” tutorial at the May 2023 Embedded Vision Summit. With the boom in tools for developing, monitoring and maintaining ML models, data science teams have many options to choose from. Proprietary tools provided by cloud service providers are enticing,

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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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