Researchers introduced AdditiveGDL, a generative deep learning method that predicts local thermal distributions across metal ...

North America held a dominant market position, capturing more than a 42.3% share, holding USD 495.6 million in revenue.

The new toolkit integrates with Keysight’s device modeling software to automate parameter extraction and shorten compact-model and PDK development cycles.

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

Tesla’s humanoid robot Optimus has crossed a line that once belonged firmly to science fiction, moving from carefully staged ...

Scientists have developed an AI system that can rapidly predict complex defect patterns in liquid crystals, cutting simulation times from hours to milliseconds. The approach could transform how ...

There’s no preapproved list of FEA [finite element analysis] or CFD [computational fluid dynamics] software titles you can pick from. .

Machine learning added to NTN’s ABICS system reduces simulation time by more than 90 percent and automates dimension optimization for third-generation hub bearings, the company says.

Materials intelligence in cosmetics integrates AI and molecular simulation, enhancing formulation efficiency and aligning with sustainability goals.

Matlantis CSP has already produced early results across multiple systems—oxides, alloys, and phosphides—discovering more than 10 previously unknown stable crystals. In the Ga–Au–Ca system, it ...

Advancements in Simulation Methodologies Simulation is getting a serious upgrade, and it’s not just about faster computers ...

Scientists are using artificial intelligence to determine which genes collectively govern nitrogen use efficiency in plants such as corn, with the goal of helping farmers improve their crop yields and ...