Researchers have reported a sample-prior-based approach to point spread function decoupling that improves system ...

Computational fluorescence microscopy (CFM) requires accurate point spread function (PSF) characterization for high-quality ...

Averages can summarize, but uncertainty explains. By giving uncertainty a language people can share, across teams, tools, and even AI systems, Savage's work creates space for clearer planning and more ...

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers ...

English look at AI and the way its text generation works. Covering word generation and tokenization through probability scores, to help ...

ATRIMED today shared an update on a long running research effort led in part by physician scientist Dr. Latha Damle, whose ...

Computational chemistry describes the use of computer modelling and simulation – including ab initio approaches based on quantum chemistry, and empirical approaches – to study the structures and ...

Training gets the hype, but inferencing is where AI actually works — and the choices you make there can make or break ...

Asking ‘what is life?’ is a good way to start arguments in science. As a recent informal poll suggests, no two individuals ...

What if I were to photograph Sophia—a humanoid robot developed by Hanson Robotics—and then, in a separate session, the ...

Control engineering plays a pivotal role in understanding and designing systems ranging from biological feedback loops to ...

Computational models are mathematical models used to numerically study the behaviour of complex systems by means of a computer simulation. A computational model can be used to make predictions of the ...