This brief investigates the quantized iterative learning problem for digital networks with time-varying topologies. The information is first encoded as symbolic data and then transmitted. After the ...

An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...

Autistic adults describe nonverbal communication as an exhausting “unwritten language” they must decode in real time, ...

Now, researchers at HHMI's Janelia Research Campus, Stanford University, and the Broad Institute are developing user-friendly ...

Explore the best applicant tracking systems of 2025. Find the perfect tool to enhance your recruitment strategy and improve candidate management today.

Neuroscience research. Learn how the brain's physical, chemical and electrical structure can affect everything from motivation and sensory perception to disease recovery.

In this paper, we propose time-efficient methods for C2Q data encoding and Q2C data decoding for quantum algorithms. Decoherence optimized circuits for C2Q data encoding are presented along with ...