Semiconductor engineering teams have long relied on an iterative simulation workflow: define the scenario, prepare the model, run the analysis, review the results, adjust the design, and repeat until ...

Understand the challenges and solutions of AI-enabled embedded systems in ensuring timely response in critical applications.

What is the most efficient way to extract maximum value from a finite mineral resource while balancing cost, safety, and ...

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent enterprise systems? We asked the experts.

Today, Antithesis, the autonomous software verification company, demonstrated a way for AI coding agents to correct their own code. Before this, AI agents could not be trusted to check their own work.

New microcontrollers embed CPLD-like logic blocks, enabling deterministic timing, lower latency and reduced system cost for ...

Industries are rapidly adopting AI-native workflows that merge design, simulation, and decision-making into continuous, parallel processes. This shift promises faster, more efficient product ...

Code generation has become the poster child for AI use cases. There’s just one problem: Writing new code was never the ...

While Google Cloud Next showcased plenty of agentic magic, the most encouraging announcements centered on making agents more ...

Building on Oracle, Magicare is developing specialized AI agents that can deliver end-to-end automation across operators’ ...

To help address these challenges without adding the cost and complexity of multichip designs, Microchip Technology (Nasdaq: MCHP) is expanding its Configurable Logic Block (CLB)–based microcontroller ...

Prompt engineering keeps adding new techniques. One is the String Seed-of-Thought (SSoT) that aids options-choosing, game ...