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 ...

Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 ...

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...

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.

Machine-learning-informed simulations of physical phenomena ranging from drifting bands (left), resonant ripples (center) and ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

New research indicates that banks are increasingly relying on machine learning, advanced analytics, and data-driven systems to identify, assess, and mitigate risks ranging from credit defaults to ...

To help solve this problem, Generalist has relied on “data hands,” a set of wearable pincers that capture micro-movements and ...

Abhirami Harilal, an Indian American applied scientist specializing in machine learning and statistical modeling for ...

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

At Carnegie Mellon University, a new initiative will bring together experts in AI, statistics and astrophysics to accelerate that shift. Supported by the Simons Foundation, the Keystone Astronomy & AI ...

The McWilliams Center for Cosmology & Astrophysics at Carnegie Mellon University received funding from the Simons Foundation’s Targeted Grants to Institutions to launch the Keystone Astronomy & AI ...