AI/ML are driving a steep ramp in neural processing unit (NPU) design activity for everything from data centers to edge ...

Instead of manually placing every switch, buffer, and timing pipeline stage, engineers can now use automation algorithms to ...

A team of researchers from the Shanghai Institute of Applied Physics, Chinese Academy of Sciences, has developed an ...

MulticoreWare, Inc., a global leader in software performance optimization and artificial intelligence (AI) solutions, today announced its intended collaboration with Qualcomm Technologies, Inc. to ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green chemical processes and carbon dioxide capture has surged. Ionic liquids (ILs) ...

With the deepening of global economic integration, maritime logistics has become the core pillar of international trade, carrying more than 80% of global trade volume. Among the factors influencing ...

We study the contextual dueling bandit problem, where a learner uses contextual information to make two decisions and receives only relative (comparison) feedback. This problem is crucial in ...

This project includes two Rubik's Cube solvers, an optimal solver, and a Two-Phase / Kociemba's algorithm solver. The optimal solver takes an average of around 60 seconds to find a minimal length ...

OPT needs to know the future access sequence Theoretically best cache hit rate Always replaces the data item that will be accessed "furthest in the future" In deep learning training, data access ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...