Teaching robots to manipulate objects with human-like dexterity remains one of the biggest challenges ...

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, ...

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 ...

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 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 ...

Forbes contributors publish independent expert analyses and insights. Making wealth creation easy, accessible and transparent. Artificial intelligence is the ability of a computer to handle complex ...

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 ...

The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in research applications to explore potentially high-impact approaches in the development and use of ...

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 ...