According to MarketsandMarkets™, the AI Chip Market is projected to grow from USD 203.24 billion in 2025 to USD 564.87 ...

The exponential growth of neuroscience data necessitates advanced methods for data management and curation. This Research Topic aims to explore how ...

Online language learning market exhibits robust expansion driven by rising consumer demand for personalized learning, remote education adoption, and corporate upskilling. Technological advancement ...

The Global Online Language Learning Market is projected to grow at a CAGR of 7.5% from 2026 to 2033, according to a new report published by Verified Market Reports ®. The report reveals that the ...

The Global Computational Pathology Market Growth Is Driven by Rising Integration of AI and Machine Learning, Increasing Demand for Faster Diagnostic Solutions, and the Growing Burden of Chronic ...

I stopped treating NotebookLM like a summarizer and started using it as a thinking partner—and my study sessions transformed ...

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.

I’m Scott Carlson, a senior writer at The Chronicle covering higher ed and where it’s going. When I accepted Robin Shusko’s essay in our recent call for guest columnists, I thought: Well, here’s ...

Many students aren’t very engaged in their learning, according to a recent survey of nearly 300,000 high schoolers—and close to half say they’re merely “doing school,” but not finding it particularly ...

Active Learning (AL) leverages the principle that machine learning models can achieve high accuracy with fewer labeled samples by strategically selecting the most informative data points for training.

Abstract: We present a novel setting of active learning (AL) where multiple target models are simultaneously learned. This setting arises in real-world applications where machine learning systems ...

The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...