Artificial Intelligence

    Deep Learning Architecture Definition, Types and Diagram

    Deep learning architecture pertains to the design and arrangement of neural networks, enabling machines to learn from data and make intelligent decisions. Inspired by...

    How JSD Electronics Uses AI and Machine Vision to Deliver Zero-Defect Electronics

    In an exclusive interview with ELE Times, Mr. Deep Hans Aroraa, Co-Founder & Director at JSD Electronics, discussed how the company is redefining IoT-enabled...

    Deep Learning Definition, Types, Examples and Applications

    Deep learning is a subfield of machine learning that applies multilayered neural networks to simulate brain decision-making. The concept is essentially interchangeably with human...

    BLACKBOX AI: Dissecting the AI Network Traffic

    Courtesy: Keysight Technologies Blackbox AI is an AI-powered coding assistant designed to enhance developer productivity by offering features such as code generation, code search, and code...

    Network Traffic Analysis of NoFilter GPT: Real-Time AI for Unfiltered Conversations

    NoFilter GPT is a cutting-edge conversational AI built to deliver unfiltered, bold, and authentic interactions. It offers different modes for different tasks: Raw Mode...

    A Balanced Bag of Tricks for Efficient Gaussian Splatting

    Motivation 3D reconstruction is a long-standing problem in computer vision, with applications in robotics, VR and multimedia. It is a notorious problem since it requires...

    5 myths about AI from a software standpoint

    Courtesy: Avnet Myth #1: Demo code is production-ready AI demos always look impressive but getting that demo into production is an entirely different challenge. Productionizing AI...

    Nuvoton Launches Highly Efficient AI MCU Deployment Tool “NuML Toolkit” to Accelerate Embedded Intelligent Application...

    An Integrated Tool Tailored for Engineers, Enabling Fast AI Model Deployment to MCU As AI technology rapidly integrates into various embedded systems, how to efficiently...

    Transforming Chip Design with Agentic AI: Introducing Cadence Cerebrus AI Studio

    The industry's first agentic AI, multi-block, multi-user SoC design platform. Cadence has launched Cadence Cerebrus AI Studio. It is the industry's first agentic AI multi-block multi-user design platform,...

    Power and Thermal Management Concerns in AI: Challenges and Solutions

    Courtesy: Arrow Electronics Artificial Intelligence has rapidly become an innovative driver across industries, enabling everything from autonomous vehicle development to real-time healthcare diagnostics. However, as...

    Keysight Introduces AI Data Center Builder to Validate and Optimize Network Architecture and Host Design

    Validates the performance of AI infrastructure by emulating real-world workloads Evaluates how new algorithms, components, and protocols improve the performance of AI training Adjusts...

    Brain-Inspired Neuromorphic Chips Redefining AI Acceleration

    Neuromorphic computing represents a groundbreaking paradigm shift in computing, designed to replicate the structure and functionality of biological neural networks. Traditional Von Neumann architectures...

    Enhancing Wireless Communication with AI-Optimized RF Systems

    Introduction: The Convergence of AI and RF Engineering The integration of Artificial Intelligence (AI) into Radio Frequency (RF) systems marks a paradigm shift in wireless...

    STMicroelectronics to enable higher-performance cloud optical interconnect in datacenters and AI clusters

    New silicon photonics and next-gen BiCMOS proprietary technologies bring better performance to address the coming 800Gb/s and 1.6Tb/s optical interconnects. Developing a roadmap...

    Artificial Intelligence Meets Embedded Development with Microchip’s MPLAB AI Coding Assistant

    AI-powered tool streamlines software development for greater efficiency and accuracy Microchip Technology is leveraging the power of Artificial Intelligence (AI) to assist software developers...

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