Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...

The team adapted an existing deep-learning algorithm known as a convolutional variational autoencoder (CVAE), which automatically extracted relevant information about protein folding ...

These guys have shown how evolutionary computing can match the performance of deep-learning machines at the emblematic task that first powered them to fame in 2013—the ability to outperform ...

The researchers tested the algorithm's performance against the diagnoses of 21 dermatologists from the Stanford medical school, on three critical diagnostic tasks: keratinocyte carcinoma ...

Training algorithm breaks barriers to deep physical neural networks. ScienceDaily. Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2023 / 12 / 231207161444.htm.

A deep reinforcement learning algorithm can solve the Rubik's Cube puzzle in a fraction of a second. The work is a step toward making AI systems that can think, reason, plan and make decisions.

LAGUNA HILLS, Calif., September 18, 2024--BrainChip Introduces aTENNuate in New Technical Paper ...

ChatGPT’s Deep Research is one such feature, and it seems OpenAI is finally feeling a bit generous about it. The company has created a lightweight version of Deep Research that is powered by its ...