This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Use embeddings with vector databases to perform multi-modal search on images. Embeddings are a powerful way to represent and capture the semantic meaning and relationships between data points in a vector space. While word embeddings in NLP […]
Multi-modal Image Search with Embeddings and Vector Databases Read More +
Neural network processing-based stack for perception, sensor fusion and path planning Chip family and stack co-developed for superior AI performance per watt Accelerates OEM development; offers scalability for L2+ and higher autonomy levels Realtime HD map generation from perception and SD maps eliminates need for stored HD maps SANTA CLARA, Calif., Dec. 12, 2023 —
Driver monitoring systems (DMS) have gained considerable momentum, driven by the escalating SAE autonomous driving levels and regulatory frameworks in key regions like the USA, Europe, China, Japan, and others. While DMS is not a novel concept, traditional DMS techniques typically rely on passive data sourced from advanced driver-assistance systems (ADAS), such as driving duration
Regulations: Drivers for Mandating Driver Monitoring Systems Read More +
Barry Fitzgerald, local representative for Nextchip, demonstrates the company’s latest edge AI and vision technologies and products at the December 2023 Edge AI and Vision Alliance Forum. Specifically, Fitzgerald demonstrates a driver and broader occupant monitoring system (DMS/OMS) running on the company’s Apache5 SoC in conjunction with algorithms from emotion3D. This demonstration leverages a 3Mpixel
Microsoft, Dell Technologies, HPE, Lenovo, Meta, Oracle, Supermicro and others adopt new AMD Instinct MI300X and MI300A data center AI accelerators for training and inference solutions AMD also launches ROCm 6 software stack with significant performance optimizations and new features for Large Language Models and Ryzen 8040 Series notebook processors for AI PCs SAN JOSE,
AMD Showcases Growing Momentum for AMD Powered AI Solutions from the Data Center to PCs Read More +
Dec 6, 2023 – Geneva, Switzerland – STMicroelectronics is extending its commitment to the rapid adoption of AI in devices that people use everywhere and every day. The company announces that the deployment of software libraries built with its flagship design tool, NanoEdge AI Studio, will now become free for unlimited deployment on any STM32
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. With NVIDIA TAO Toolkit, developers around the world are building AI-powered visual perception and computer vision applications. Now the process is faster and easier than ever, thanks to significant platform enhancements and strong ecosystem adoption. NVIDIA TAO
Develop and Optimize Vision AI Models for Trillions of Devices with NVIDIA TAO Read More +
November 30, 2023 – Poro is a family of multilingual open source large language models (LLMs), with the aim of strengthening European digital sovereignty and democratizing access to LLMs. To ensure transparency and openness, and as part of the Poro Research Checkpoint program, we are today announcing new model checkpoints, as well as the next-generation
Europe’s Open Language Model Family Poro Extends Checkpoints, Languages and Modalities Read More +
This blog post was originally published at Cloneable’s website. It is reprinted here with the permission of Cloneable. No-code Edge AI Application Builder Despite the incredible potential of deep tech like AI and IoT, it’s still a struggle to make it truly impactful for businesses. Today, millions of field devices are collecting data on assets
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. In the previous article, I described attention mechanisms by using an example of natural language processing. This method was first used in language processing, but this is not its only usage. We can also use attention mechanisms
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