Whitepapers
Expert Analyses Combining Technical Depth With Practical Value
This white paper proposes a hybrid edge-cloud architecture that intelligently integrates edge processing for latency-sensitive tasks with cloud-based computation for large-scale analytics, federated..
System-Level Testing (SLT) is a critical phase in the semiconductor validation process that ensures integrated circuits (ICs) function correctly in real-world environments. Unlike traditional test m..
This whitepaper briefs BAO Hypervisor, a minimal, standalone and clean-slate implementation of the static partitioning architecture for Arm v8 and RISC-V platforms. Preliminary results regarding siz..
With the growing complexity of memory and the variety of applications, traditional test methods can't catch mild yet significant system-level and behavioral defects. Now, memory is at the core of th..
This whitepaper presents a comprehensive study of Cell Free Massive Multiple Input Multiple Output (MIMO) technology applied to Vehicle to Everything (V2X) communication, a critical enabler for next..
The automotive industry is undergoing a transformative shift toward software-defined vehicles, connected ecosystems, and autonomous driving, amplifying the need for uncompromising hardware security.
Virtualizer Development Kits (VDKs) provide a comprehensive virtual prototyping solution, enabling embedded software teams to start development months before silicon availability. By simulating the ..
Future SDV networking system emerged with Automotive Ethernet as the de facto communication backbone for next-generation vehicles.
This white paper proposes a hybrid edge-cloud architecture that intelligently integrates edge processing for latency-sensitive tasks with cloud-based computation for large-scale analytics, federated..
The Agentic Al model will combine cognitive reasoning, multiple-step planning, and real-time decision-making in an orchestration layer that is, the Agentic Al will provide an interface for all other..
The goal of this whitepaper is to investigate the integration of Information Technology (IT) and Operational Technology (OT) within Autonomous Mobile Robots (AMRs).
