Thinking Machines Lab has released Inkling, its first general-purpose artificial intelligence model, giving developers access ...

A truly useful quantum computer must be able to run any algorithm, with the same versatility an ordinary laptop offers.

Quantum computers promise to solve problems that would take even the fastest conventional supercomputers a vast amount of ...

Artificial intelligence isn’t just capable of translating between existing languages—it can also create entirely new ones.

Lower-precision floating-point arithmetic is becoming more often used in recently growing hardware, moving beyond the usual IEEE 64-bit double-precision and 32-bit single-precision formats. Today, ...

Learn methods for interpolation, numerical integration and derivation, and finite difference methods for differential equations. You can use these live scripts as demonstrations in lectures, class ...

State-of-the-art machine learning methods for constitutive modeling typically require many tensorial stress–strain pairs, which can be challenging to acquire. Noncontact model identification ...

We present a novel software feature for the BrainScaleS-2 accelerated neuromorphic platform that facilitates the partitioned emulation of large-scale spiking neural networks. This approach is well ...

The Autonomous University of Yucatán is the largest such institution in the state. It has six campuses, including five in the state capital of Mérida, and a Multidisciplinary Unit in Tizimín, east of ...

Reservoir computing is a machine learning method that is closely linked to dynamical systems theory. This connection is highlighted in a brief introduction to the general concept of reservoir ...

I am the Director of the Computer Science and Mathematics Division in the Computing and Computational Sciences Directorate at Oak Ridge National Laboratory. Computational peridynamics is a special ...