Deep learning models have shown great potential in predicting and engineering functional enzymes and proteins. Does this prowess extend to other fields of biology as well? Contrary to expectations, a ...

A sense of time is fundamental to how we understand, recall, and interact with the world. Tasks ranging from holding a conversation to driving a car require us to remember and perceive how long things ...

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220157 discusses lensless complex amplitude demodulation based on deep learning in holographic data storage. In the era of big data, ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Graph representation learning has emerged as a unifying framework for analysing relational data by mapping entities and their interactions within a network into low‐dimensional vector spaces. These ...

A sense of time is fundamental to how we understand, recall, and interact with the world. Tasks ranging from holding a conversation to driving a car require us to remember and perceive how long things ...

Transfer of math, physics, and communication skills into the entry-level photonics workforce, NSF Award 1432578, Sept 2014 – Aug 2019 Exploring factors that shape education & workplace training on ...

A cognitive adaptation in Heliconius butterflies, accompanied by strikingly divergent changes in two principal insect integration centres, reveals that neural circuits can differ strongly in their ...

There is direct evidence of spatial learning in any butterfly or moth species. Melissa Breyer was Treehugger’s senior editorial director before moving to Martha Stewart. Her writing and photography ...