A firefly-inspired AI framework makes atomic structure prediction more robust by combining multimodal search with an uncertainty-aware machine learning technique. The method improves efficiency for ...

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

Advanced AI systems can appear helpful while learning behaviors that look deceptive, self-protective, or manipulative.

AI dramatically expands the chemical universe scientists can explore. This is particularly important in antibiotic discovery, ...

Overview By closely mimicking atom behavior, quantum processors offer the exact simulation needed to discover and design ...

Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales. A new framework, CH4Vision, addresses this problem by estimating methane flux ...

The Palazzo promise is “A longer life, better lived.” Which sounds very similar to language used to promote top longevity ...

For years, Rutgers physicist David Shih solved Rubik's Cubes with his children, twisting the colorful squares until the ...

Quantum computers are considered one of the most important technologies of the twenty-first century, which is why Germany’s federal government is ...

The SIGMOD community honors the research of BIFOLD researchers Arnab Phani and Matthias Böhm. Their work on eliminating the inefficient reuse of intermediate computations across multi-backend machine ...

Current AGI research focuses heavily on scaling these foundation models and enhancing specific agent capabilities, such as complex reasoning and coding. However, despite this progress, even the most ...