Two former Google DeepMind researchers who worked on the company’s Nobel Prize-winning AlphaFold protein structure prediction ...

In the wave of the technology industry, a startup named ThinkingMachines has garnered widespread attention with its astonishing valuation and the unveiling of its first AI achievement. Recently, this ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid due to its intensive energy consumption. Digital computing's energy and ...

The brainteaser, which has gone viral on X (formerly Twitter), appears to show four basic equations. At first glance, the equation seemingly shows a pattern, one that is not easily cracked. Can you ...

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Abstract: The Multiply and Accumulator (MAC) in Convolution Neural Network (CNN) for image applications demands an efficient matrix multiplier. This study presents an area- and power-efficient ...

This course will introduce you to problem-solving using programming. Beginning with simple tasks like evaluating mathematical expressions, calculating income-tax, to solving JEE problems (maths, ...

When you have played the game, why not put your new skills to the test and download this fun activity sheet?

The goal of this assignment is to implement high-performance CUDA kernels for tensor operations and integrate them with the MiniTorch framework. You will implement low-level operators in CUDA C++ and ...