This is not about replacing Verilog. It’s about evolving the hardware development stack so engineers can operate at the level of intent, not just implementation.
Researchers have found that LLM-driven bug finding is not a drop-in replacement for mature static analysis pipelines. Studies comparing AI coding agents to human developers show that while AI can be ...
With zero coding skills, and in a disturbingly short time, I was able to assemble camera feeds from around the world into a ...
MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, has developed a surface code quantum simulator based on FPGA. This innovative technology marks a new milestone in ...
According to Jeff Dean on Twitter, sharing specific small snippets of code can effectively demonstrate AI techniques, providing developers with practical and actionable examples to accelerate AI ...
Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...
Abstract: Creating RTL hierarchy and generating module-by-module Verilog code, both through a large language model (LLM), are presented. (1) For RTL hierarchy, LLM is prompted to identify a list of ...
The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...
Kiro is the new Amazon Web Services IDE for creating software projects using agentic AI. A developer using Kiro creates a specification for the desired program, and Kiro uses Claude Sonnet (3.7 or 4.0 ...
At halftime of the Wolves’ Game 1 victory, it was Edwards who explained to his teammates and coaches how they could exploit the Lakers’ defense Minnesota Timberwolves guard Anthony Edwards (5) looks ...
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