Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...

By Qu Liu. The Miner School of Computer and Information Sciences is proud to announce a Dissertation Proposal by Qu Liu titled "Efficient and Adaptive Online Learning M ...

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain p ...

If you’ve ever wondered whether your grades really reflect student learning, these questions might help you get systematic ...

Walden Robotics has emerged with a familiar promise in industrial automation: make robots useful beyond tightly scripted, fenced-off tasks. The more important claim for U.S. manufacturing readers is ...

The era of building "personalized AI" by training AI models on individual or corporate documents and data is beginning.

Before adopting Graph-RAG copilots for piping and instrumentation design, chemical process firms need data governance, safety ...

Researchers developed an auditing technique to test generative AI models for malicious capabilities without prompting them ...

Abstract: Multi-task learning (MTL) has emerged as a crucial approach for addressing complex computer vision problems in autonomous driving, such as semantic segmentation, object detection, and ...

Abstract: Multi-task dense scene understanding, which trains a model for multiple dense prediction tasks, has a wide range of application scenarios. Capturing long-range dependency and enhancing cross ...