Tech Xplore

This AI mines the numbers buried in scientific papers and turns them into usable data fast

Numbers are the language of science—yet in research articles, they are often buried within the text and difficult to analyze.
Yahoo

Demystifying Deep Green’s proposed data center near downtown Lansing

A U.K.-based developer is pitching “a different kind of data center” in the state’s capital city— but residents remain skeptical. Developer Deep Green, in a partnership with Lansing’s publicly owned ...
VentureBeat

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital ...
The Lancet

Classification accuracy of a hierarchical molecular inference-based deep-learning system for CNS tumour diagnosis: a multi-institutional, retrospective study

aLaboratory of Pathology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA bCancer Data Science Laboratory, Center for Cancer Research, National ...
Reuters

Deep-sea mining company seeks international permit under new Trump rules

Jan 22 (Reuters) - The Metals Co (TMC.O), opens new tab on Thursday became the first deep-sea miner to seek Washington's approval to mine the international seabed under a streamlined permitting ...
IEEE

MRLF: Multimodal Representation Learning for Tabular Data Classification

Representation learning fundamentally determines the classification performance of models on tabular data. However, existing tabular data classification models typically focus on single-modal encoding ...
Frontiers

Automated predictive framework using AI and deep learning approaches for early detection and classification of liver cancer

Liver cancer, including hepatocellular carcinoma (HCC), is a leading cause of cancer-related deaths globally, emphasizing the need for accurate and early detection methods. LiverCompactNet classifies ...
Scientific Research Publishing

Grinsztajn, L., Oyallon, E. and Varoquaux, G. (2022) Why Do Tree-Based Models Still Outperform Deep Learning on Typical Tabular Data? Advances in Neural Information Processing ...

ABSTRACT: Health economic evaluations within surgical disciplines face considerable methodological hurdles, particularly in relation to cost-effectiveness analyses (CEA) and budget-impact modelling ...
Scientific Research Publishing

Research on the Nonlinear Impact of Investor Sentiment on Stock Returns Based on Deep Learning and Text Mining ()

This paper focuses on the nonlinear correlation between investor sentiment and stock returns and conducts in-depth research with the aid of deep learning and text mining techniques. First of all, sort ...