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Amid the Rise of LLMs, is Computer Vision Dead?

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. The field of computer vision has seen incredible progress, but some believe there are signs it is stalling. At the International Conference on Computer Vision 2023 workshop “Quo Vadis, Computer Vision?”, researchers discussed what’s next for computer […]

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The Impact of AI On the Automotive Industry

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. The automotive industry has undergone a profound transformation over the years, with technological advancements driving innovation at an unprecedented pace. One of the most influential technologies shaping the future of vehicles is Artificial Intelligence. AI’s integration into

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Microchip Expands PolarFire FPGA and SoC Solution Stacks with New Offerings for Medical Imaging and Smart Robotics

Application-specific, integrated hardware and software technology stacks lower the barrier of entry and speed time to market CHANDLER, Ariz., December 12, 2024 — The rise of IoT, industrial automation and smart robotics, along with the proliferation of medical imaging solutions to the intelligent edge, has made designing these types of power and thermally constrained applications more

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Software-defined Vehicles: AI Assistants and Biometrics

Software-defined vehicles (SDVs) represent a combination of automotive features that provide new possibilities for passengers to engage with vehicles. In the report, “Software-Defined Vehicles, Connected Cars, and AI in Cars 2024-2034: Markets, Trends, and Forecasts“, IDTechEx depicts how the cellular connectivity within SDVs can provide access to IoT (Internet of Things) features including OTA (over-the-air)

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Qualcomm at NeurIPS 2024: Our Groundbreaking Innovations and Cutting-edge Advancements in AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. See how Qualcomm AI Research continues to innovate, from platform enhancements to AI fundamentals Neural Information Processing Systems (NeurIPS), the premier machine learning conference, returns in person this year with an impressive 25% acceptance rate, maintaining its

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Lattice Advances Low Power FPGA Leadership with New Small and Mid-range FPGA Offerings

Introduces Lattice Nexus 2 next-gen small FPGA platform, extends mid-range portfolio with Lattice Avant 30 and Avant 50 devices, and enhances capabilities of application-specific solution stacks and design software tools HILLSBORO, Ore. – Dec. 10, 2024 – Today, at Lattice Developers Conference 2024, Lattice Semiconductor (NASDAQ: LSCC) expanded its edge to cloud FPGA innovation leadership

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STMicroelectronics to Boost AI at the Edge with New NPU-accelerated STM32 Microcontrollers

New machine-learning capabilities make it possible to run computer vision, audio processing, sound analysis and more consumer and industrial applications at the edge STM32N6 MCU series is the most powerful in STM32 family, and first to feature proprietary Neural-ART Accelerator™ NPU, architected for embedded inference Combination of software and tools ecosystem continues to lower the

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How RTX AI PCs Unlock AI Agents That Solve Complex Problems Autonomously With Generative AI

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA RTX-accelerated AnythingLLM launches Community Hub for sharing prompts, slash commands and AI agent skills. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible, and showcases

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“Vision Language Models for Regulatory Compliance, Quality Control and Safety Applications,” a Presentation from Camio

Carter Maslan, CEO of Camio, presents the “Vision Language Models for Regulatory Compliance, Quality Control and Safety Applications” tutorial at the December 2024 Edge AI and Vision Innovation Forum. In this presentation, you’ll learn how vision language models interpret policy text to enable much more sophisticated understanding of scenes and human behavior compared with current-generation

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Becoming a Computer Vision Engineer

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In the journey to become a proficient computer vision engineer, mastering the skills required at each stage of the machine learning life-cycle is crucial. This article introduces a blueprint with the skills a computer vision engineer is

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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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Walnut Creek, CA 94596

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