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STMicroelectronics and HighTec EDV-Systeme Collaborate for Safer Software-defined Vehicles

Where safety meets safety: ST’s Stellar MCUs certified to the highest level of risk management, ISO 26262 ASIL D, are now supported with the same safety level by HighTec’s Rust compiler Geneva, Switzerland and Saarbrücken, Germany, February 4, 2025 – STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications, […]

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Empowering Civil Construction with AI-driven Spatial Perception

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Transforming Safety, Efficiency, and Automation in Construction Ecosystems In the rapidly evolving field of civil construction, AI-based spatial perception technologies are reshaping the way machinery operates in dynamic and unpredictable environments. These systems enable advanced

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Can Money Buy AI Dominance?

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. The announcements of the creation of Stargate last week as well as the revelation of DeepSeek-V3’s performance at a much lower cost than OpenAI and its competitors are both raising a lot

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The Future of AI in Business: Trends to Watch

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. In a world increasingly shaped by the rapid evolution of artificial intelligence, 2024 stands as another momentous year, with advancements that continue to reshape how we live, work, and imagine our future. From the rapid acceleration in

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Multimodal Large Language Models: Transforming Computer Vision

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. This article introduces multimodal large language models (MLLMs) [1], their applications using challenging prompts, and the top models reshaping computer vision as we speak. What is a multimodal large language model (MLLM)? In layman terms, a multimodal

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How Qualcomm is Catalyzing Retail’s AI Revolution

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Retail is embracing innovation — we’ll be showing off examples of these game-changing experiences at NRF 2025 With more places to shop than ever, physical stores are turning to AI and technology for a competitive edge. That

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How Au-Zone Technologies Plays a Key Role in the Ocean Cleanup Automated Debris Imaging System

This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. Founded in 2012 in Rotterdam, The Netherlands, The Ocean Cleanup is developing and scaling technologies to rid the oceans of plastic with ocean cleanup systems and river interception technologies. With over 150 employees, The Ocean

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Upgraded Sensor Board from STMicroelectronics Accelerates Plug-and-play Evaluation with ST MEMS Studio

New hardware integrates closely with convenient, graphical development environment Geneva, Switzerland, January 27, 2025 — Developing context-aware applications with MEMS sensors is faster, more powerful, and more flexible with ST’s latest-generation sensor evaluation board, the STEVAL-MKI109D. Now upgraded with an STM32H5 microcontroller, USB-C connector, and  extra digital interfaces including I3C for flexible communication , the

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DALL-E vs Gemini vs Stability: GenAI Evaluations

This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. We performed a side-by-side comparison of three models from leading providers in Generative AI for Vision. This is what we found: Despite the subjectivity involved in Human Evaluation, this is the best approach to evaluate state-of-the-art GenAI Vision

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Harnessing the Power of LLM Models on Arm CPUs for Edge Devices

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. In recent years, the field of machine learning has witnessed significant advancements, particularly with the development of Large Language Models (LLMs) and image generation models. Traditionally, these models have relied on powerful cloud-based infrastructures to deliver impressive

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