Brookings Institution's report details the best ways to minimize risk and utilize benefits of AI for students.

Research shows that, in Attribution Theory, four factors shape a person’s motivation to engage and learn across any field or ...

Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

Abstract: The scarcity of labeled data is a critical challenge in industrial process multi-scale modeling, as learning reliable models from limited labeled data and large-scale unlabeled data is ...

TaxFree RV, a Montana LLC vehicle registration specialist operating since 2005, announced the introduction of attorney-supervised registration processes designed to ensure full legal compliance for RV ...

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...

Abstract: As a compromise between supervised and unsupervised learning, semi-supervised learning (SSL) harnesses both labeled and unlabeled data to enhance learning performance. Graph-based ...

In April 2023, a few weeks after the launch of GPT-4, the Internet went wild for two new software projects with the audacious names BabyAGI and AutoGPT. “Over the past week, developers around the ...

I’m experimenting with fine-tuning a KataGo model on my own games to capture my personal play style. My plan is to start from a pretrained network roughly at my strength and then run supervised ...

Recent advancements in outcome-supervised Reinforcement Learning (RL), exemplified by OpenAI's O1 and DeepMind's R1, have demonstrated remarkable improvements in language model (LLM) reasoning ...