Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

The seductive appeal of in-road inductive charging, which means EVs no longer tethered to fixed charging stations, along with actual small-scale implementation, suggest that ...

Femtosecond lasers are turning nanostructures into a new kind of thermal hardware, where heat can be sculpted almost as ...

Vendors and broadcasters team on an open-source initiative that may be a cheaper, faster alternative to 2110 for handling uncompressed video in the IP domain. The post MXL Touts True IP ...

Research on the Influencing Factors and Configuration Paths of High-Quality Development of “Specialization, Refinement, ...

This is the fourth in a series exploring key AI policy choices faced by the Department of Defense and Congress. Please also ...

The rules for choosing a tech partner have fundamentally changed. As AI agents automate coding and accelerate development cycles, the vendors who survive won’t ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

This paper presents an important advance in genetically encoded voltage imaging of the developing zebrafish spinal cord in vivo, capturing voltage dynamics in neuronal populations, single cells, and ...

Worse, the most recent CERN implementation of the FPGA-Based Level-1 Trigger planned for the 2026-2036 decade is a 650 kW system containing an incredibly high number of transistor, 20 trillion in all, ...