The Langlands program has inspired and befuddled mathematicians for more than 50 years. A major advance has now opened up new ...

Surprising new work bucks 50 years of assumptions about the trade-offs between computation space and time ...

A notable study [1] has extended classical neural network theory by examining the expressive power of ReLU and step networks when subjected to floating-point arithmetic.

The answer is zero-knowledge proofs (ZKPs), developed by computer scientists and mathematicians who acknowledge they are ...

Quantum computing will not deliver truly useful business results overnight, but the pace of progress is no longer linear; ...

The second law of thermodynamics demands that if we want to make a clock more precise – thereby reducing the disorder, or ...

Based on the construction of the human body key point recognition model and the study of Chinese medicine meridian and acupuncture point theory, the detection framework for human body acupuncture ...

We investigate a novel approach to approximate tensor-network contraction via the exact, matrix-free decomposition of full tensor-networks. We study this method as a means to eliminate the propagat ...

Ergodic capacity is a key performance indicator of wireless networks. The necessity for frequent capacity evaluation to guide network optimization highlights the pivotal importance of efficient and ...

Accurately modeling the electronic structure of water across scales, from individual molecules to bulk liquid, remains a grand challenge. Traditional computational methods face a critical trade-off ...