Computational optics integrates optical hardware and algorithms, enhancing imaging capabilities through joint optimization and physical twinning techniques.

In the decoding phase, transposed convolution is used to restore temporal resolution and integrate low- and high-level features through skip connections. Unlike the first convolution module in the ...

A new technical paper titled “Hardware-Efficient Attention for Fast Decoding” was published by researchers at Princeton University. Abstract “LLM decoding is bottlenecked for large batches and long ...

LLMs approach arithmetic tasks through heuristic-driven reasoning rather than robust algorithms or memorization. The study reveals that LLMs use a “bag of heuristics,” a mix of learned patterns rather ...

Revealing unexpected complex encoding but simple decoding mechanisms in motor cortex via separating behaviorally relevant neural signals eLife 12:RP87881.

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs ...

Neuromorphic computing is steadily gaining popularity in many scientific and engineering disciplines. However, one of the biggest problems that has prevented widespread usage of neuromorphic computing ...