Semiconductor Engineering

Next Generation AI: Transitioning Inference from the Cloud to the Edge

Technical challenges, architectural innovations, and benchmarks to help OEMs successfully transition to edge-native AI.

How Edge Security Protects Smart Buildings Against Rising Cyber Attacks

Smart buildings, powered by an ever-expanding network of IoT devices, face a staggering 820,000 hacking attempts every day, a ...
EDN

Developing high-performance compute and storage systems

Microchip’s Switchtec Gen 5 PCIe switch reference designs help developers implement the PCIe switch into their systems with ...
Beebom

What is Deep Learning in AI? Understanding How AI Really Works

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...
Que.com on MSN

Understanding AI: Breaking down machine learning, deep learning, and generative AI

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...
DIGITIMES

ASIC Shift for High-Speed Computing: PGC's Design Service Turnkey Platform Speeds Time-to-Market

As AI workloads move from cloud to edge, the volume of image and sensor data across industries is rising rapidly. Edge ...
DIGITIMES

Edge AI Demand Accelerates Shift from FPGA to ASIC for Vision Inference PGC's Design Service Turnkey Platform Helps Customers Move to ASIC and Short

As AI workloads move from cloud to edge, the volume of image and sensor data across industries is rising rapidly. Edge ...
Frontiers

AI-Enhanced Additive Manufacturing for the Fabrication and Property Prediction of Quantum Materials

The rapid evolution of quantum materials has opened new frontiers in next-generation electronics, energy storage, and quantum computing. However, their ...

Exclusive: AWS CEO Matt Garman declares a new era: Agents are the new cloud

If Nova Forge is the new model substrate, AgentCore is the new runtime. White explained that it solves the biggest enterprise blocker of the past year: Teams were spending months reinventing ...
IEEE

Balancing Performance and Cost—FPGA-Based CNN Accelerators for Edge Computing: Status Quo, Key Challenges, and Prospective Innovations

Abstract: The development of AI accelerators for real-time edge computing applications is a robust and ever-growing field that offers countless improvements upon classical CPU, GPU, or ASIC-based ...
IEEE

Distributed Microservice Deployment for Satellite Edge Computing Networks: A Multi-Agent Deep Reinforcement Learning Approach

Abstract: Low earth orbit (LEO) satellite networks are promising to carry out edge computing and reduce the service latency in future 6 G networks. Meanwhile, the microservice architecture provides a ...
Yale Environment 360

‘Critical computing’: Understanding the social and humanistic dimensions of technology

On a recent afternoon at the Massachusetts Green High Performance Computing Center (MGHPCC), James Culbert, the center’s director of IT services, led a group of Yale students down long halls with ...