Oceans are facing a multitude of climate-induced stresses including acidification, sea-level rise, warming waters, and ice ...

Say goodbye to hours of tuning hyperparameters! University of Tokyo researchers introduce ADOPT, a groundbreaking optimizer that stabilizes deep learning training across diverse applications ...

Other methods and algorithms can be used, ... In many optimization problems, there is a risk to local optimization. Deep learning systems are not yet appropriate for addressing those problems.

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO) announced today the launch of their latest classifier auto-optimization technology based on Variational Quantum Algorithms (VQA). This ...

Deep learning based semi-supervised learning algorithms have shown promising results in recent years. However, they are not yet practical in real semi-supervised learning scenarios, such as ...

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

Deep learning algorithms must meet the timing requirements of specific applications, ensuring prompt and efficient execution of the inference process. Balancing real-time demands with the limited ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Automated methods enable the analysis of PET/CT scans (left) to accurately predict tumor location and size (right). Credit: Nature Machine Intelligence (2024). DOI: 10.1038/s42256-024-00912-9 ...

COMP_SCI 449: Deep Learning VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Doctoral Student Standing or completion of CS 349 Description. Deep learning is a branch of machine learning based on ...