New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...
Researchers have developed an AI-powered model to understand the "maze-like" magnetic patterns that cause energy loss in ...
At more than one million degrees, the sun's atmosphere—the corona—is incredibly hot; but not everywhere. Time and again, huge ...
Simulating how atoms and molecules move over time is a central challenge in computational chemistry and materials science.
Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...
Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.
Abstract: Application of machine learning (ML) approaches has recently expanded within a wide range of domains, including semiconductor devices. Their strong potential resulted in increasing number of ...
Abstract: Safety requirements play a crucial role in ensuring the reliability of Cyber-Physical Systems. Causal graphs provide structured support for the generation and validation of safety ...
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