Opportunities include leveraging synthetic data, now over 50%, to enhance autonomous driving by filling long-tail scenarios. The full-process automated toolchain lowers costs and boosts efficiency, ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

A key challenge in parallel adaptive Cartesian grid generation is significant computational load imbalance during k‑d tree ...

Record any incoming material variation. This included the square tube’s straightness, edge prep (the saw cut quality), as ...

Automatic mesh generation, recognized as the "Holy Grail" of Computational Fluid Dynamics (CFD), was highlighted as a critical objective in the NASA ...

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...

Races, missed next-state values due to long paths, and metastability can result from corrupted clock signals. This post describes the challenges of clock network and clock jitter analysis in more ...

Understand why testing must evolve beyond deterministic checks to assess fairness, accountability, resilience and ...

DoorDash, LVMH, and Home Depot are just some of the stocks our panelists favor this year. How AI is changing the game for ...

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it ...

The movement of waves, patterns that carry sound, light or heat, through materials has been widely studied by physicists, as ...