Artificial Intelligence

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,...

Enhancing clinical outcomes within ultrasound’s digital ecosystem

Courtesy: GE HealthCare Ultrasound imaging is one of the most used diagnostic procedures in the healthcare field. The technology plays a critical role in timely diagnosis,...

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...

2025 supply chain insights you won’t get from a genAI chatbot

Courtesy: Avnet What are the biggest risks and/or opportunities facing stakeholders across the high-tech supply chain in 2025? Ask an AI chatbot like ChatGPT, and you...

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