In an era where AI-driven drug discovery accelerates candidate generation faster than traditional systems can evaluate them, regulatory velocity becomes a binding constraint Read more at The Business ...

Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...

Elon Musk’s X is finally lifting the lid on how its platform works, particularly how the “For You” feed is shaped for users worldwide. The company has made public the code on GitHub that explains how ...

Google DeepMind released AlphaGenome on January 28, an AI model that predicts how DNA sequences translate into biological functions, processing up to one million base-pairs at once and outperforming ...

Mohanty and a multi-institution team demonstrated a fast, explicit approach to constructing lossless vertex expansion networks.

Understanding whether cognitive and perceptual states can be decoded from brain activity alone is a fundamental question in cognitive neuroscience. It is not only relevant for scientific theories of ...

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

Abstract: This letter proposes to break trapping sets of the low-density parity-check (LDPC) codes used in an LDPC-coded modulation system that employs constant composition distribution matchers ...

Suggested Citation: "4 Quantum Computing's Implications for Cryptography." National Academies of Sciences, Engineering, and Medicine. 2019. Quantum Computing ...

Information is encoded in the brain by populations or clusters of cells, rather than by single cells. This encoding strategy is known as population coding. Here we review the standard use of ...

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 ...