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OpenAI Nears Completion of First In-House AI Chip Design

OpenAI Develops Custom AI Chips to Reduce Nvidia Dependence   OpenAI is making significant strides toward reducing its reliance on Nvidia by developing its first-generation in-house AI silicon. The ChatGPT maker is finalizing the design for its custom AI chip and is set to send it for fabrication at Taiwan Semiconductor Manufacturing Co (TSMC) in the coming months, sources told …

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NXP Acquires Kinara to Drive Next-Gen Edge AI Innovation

Expanding Edge AI Capabilities with Kinara NPUs   NXP Semiconductors N.V. (NASDAQ: NXPI) has announced a definitive agreement to acquire Kinara, Inc., a leader in high-performance, energy-efficient, and programmable neural processing units (NPUs). These NPUs enable a diverse range of edge AI applications, including multi-modal generative AI models. The acquisition, valued at $307 million, will be an all-cash transaction and …

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Edge AI Revolution: Enabling Generative AI for IoT Devices

Making Generative AI Ubiquitous with Edge Processing   For generative AI to become an inseparable part of daily life, it must be accessible on various consumer devices—independent of cloud-based processing. Today, generative AI is mostly limited to early adopters, but in the near future, it will be integrated into everyday technology, from smartphones and cars to industrial IoT devices. To …

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Silicon Labs Unveils BG22L and BG24L SoCs for Next-Gen Bluetooth-LE Connectivity

Silicon Labs has introduced the BG22L and BG24L system-on-chips (SoCs), designed to enhance Bluetooth Low Energy (LE) connectivity for a wide range of IoT applications. These low-power, high-performance SoCs cater to high-volume, cost-sensitive markets, offering advanced security, efficient processing, and extended battery life.   Ross Sabolcik, Senior VP at Silicon Labs, emphasized: “Our customers need cost-effective solutions that keep pace …

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STMicroelectronics Unveils AI-Accelerated STM32 MCU for Smarter Edge Devices

STMicroelectronics has made a significant leap in embedded Artificial Intelligence (AI) with its new STM32N6 microcontroller series. For the first time, ST integrates accelerated machine learning (ML) capabilities in an MCU, enabling high-performance features like computer vision, sound analysis, and audio processing for cost-conscious and power-efficient consumer and industrial products.   A Revolutionary Step in Embedded AI The STM32N6 series …

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AIoT: The convergence of AI and IoT

Artificial Intelligence (AI) and the Internet of Things (IoT) are two transformative technologies that have shaped modern innovation. Their convergence, known as AIoT (Artificial Intelligence of Things), is creating smarter devices capable of advanced, localized decision-making and analysis.   Understanding AIoT AIoT refers to the integration of AI capabilities directly onto IoT devices. This deployment enables IoT systems to analyze …

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EmbedUR Collaborates with Synaptics to Pioneer Edge AI Innovations in India

US and Chennai-based embedded software engineering company, EmbedUR, has announced a groundbreaking partnership with semiconductor leader Synaptics to develop Edge AI solutions. This collaboration aims to transform industries by bringing low-power, low-latency AI processing directly to devices. The partnership will focus on applications in image segmentation, facial recognition, and pose estimation. These technologies will enhance edge-based AI capabilities for smart …

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ST Unveils First STM32-Ready Wireless IoT Modules in Collaboration with Qualcomm

STMicroelectronics has launched the ST67W611M1, the first module stemming from its collaboration with Qualcomm Technologies, aimed at simplifying the development of next-generation wireless IoT solutions for industrial and consumer applications. This innovative module integrates Qualcomm’s QCC743 multiprotocol connectivity SoC, enabling Wi-Fi 6, Bluetooth 5.3, and Thread capabilities. Seamlessly compatible with the extensive STM32 ecosystem, the module ensures developers can easily …

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Verizon Teams Up with NVIDIA to Enhance AI Workloads on Private 5G Networks with Edge Computing

Verizon and NVIDIA have joined forces to deliver groundbreaking AI capabilities through a private 5G network paired with Mobile Edge Compute (MEC). This innovative solution integrates Verizon’s secure and reliable 5G private network with NVIDIA AI Enterprise software, enabling real-time AI services at the edge. The collaboration aims to transform enterprise operations by providing low-latency, high-bandwidth, and secure AI-driven applications. …

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DIME Project Unlocks New Potential for Edge AI with Real-Time Decision-Making Breakthrough

Edge artificial intelligence (AI) is revolutionizing how real-time data is processed, bringing decision-making capabilities directly to devices. By reducing latency and bandwidth requirements and enhancing data privacy, edge AI offers significant advantages over cloud-dependent systems. Despite these benefits, the widespread adoption of edge AI has been hindered by technical challenges. The DIME project, led by the research team at IMDEA …

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