Simulation games in 2026 are increasingly powered by advanced AI agents, procedural generation, and multi-model systems that adapt to player behavior in real time. Developers are integrating large ...
Equipment failures emerge from complex system interactions in real-world conditions that simulation cannot fully predict or ...
Aerospace testing methods reveal hidden risks in complex systems, ensuring reliability in AI-driven designs under real-world ...
Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.
A new method developed at LMU overcomes fundamental resolution limits and may provide insights into high-temperature superconductivity. The physicist Dr. Sebastian Paeckel has developed a method that ...
Researchers have long considered the Stuxnet attacks on Iran's nuclear centrifuges in Natanz to be the opening chapter of ...
Over 35 years, city-building games have evolved to teach players environmental literacy and better reflect our relationship ...
Transport decarbonisation researchers at Heriot-Watt University are using data from logistics firm DHL to simulate a delivery ...
Goldman tackles AI’s missing link: the ‘world model’ that every AI godfather is racing to figure out
The researchers who built modern AI say it's still missing something fundamental. Goldman Sachs explains what—and why the ...
Researchers uncover Fast16 malware from 2005, a pre-Stuxnet cyberweapon targeting engineering systems and infrastructure.
Cadence’s leadership in agentic AI is expanded by integrating portfolio of industry-leading chip and system design solutions ...
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