In a recent webinar organized by the National Academy of Engineering in connection with its forthcoming Fall 2025 Bridge ...

Researchers have proposed that imperfect timekeeping inside quantum processors can create a fundamental noise channel that ...

A parallel decoding algorithm to accelerate LLM inference. Without the need for a draft model or a data store. Linearly decreases #decoding steps relative to log ...

A research team at Georgia Tech has built what it calls the first generative AI system purpose-built for polymer design, and ...

The National Bureau of Economic Research has published a new working paper by economists Ali Shourideh (Carnegie Mellon University, Tepper School of Business), Maryam Farboodi (Massachusetts Institute ...

Over the past decades, computer scientists have introduced numerous artificial intelligence (AI) systems designed to emulate the organization and functioning of networks of neurons in the brain.

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: Dynamic successive cancellation flip (D-SCFlip) decoding has emerged as a low-complexity alternative to successive cancellation list (SCL) decoding for polar codes, bridging the performance ...

Abstract: Interferogram's decoding methods based on the step-by-step shift are widely used in creation of interference measuring systems. The phase-shifting method is based on obtaining several ...