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 ...
IEEE

MRLF: Multimodal Representation Learning for Tabular Data Classification

Abstract: Representation learning fundamentally determines the classification performance of models on tabular data. However, existing tabular data classification models typically focus on ...
Reuters

As data flow revives, Fed still faces a deep policy divide

WASHINGTON, Nov 18 (Reuters) - A divided U.S. Federal Reserve begins receiving updated economic reports from the now-reopened federal government this week as policymakers hope for clarity in their ...
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 ...
Engadget

Google Gemini can now do deep research on your Gmail and Drive data

Google released Gemini’s Deep Research feature in March, a few months after unveiling the tool, giving you the capability to ask the AI chatbot to create comprehensive reports on complex topics. Deep ...
Ars Technica

Gemini Deep Research comes to Google Finance, backed by prediction market data

Google has announced new features in the popular Google Finance platform, and it leans heavily on Google’s tried-and-true strategy of more AI in more places. This builds on Google’s last Finance ...
The New York Times

Homeland Security Tells Watchdog It Hasn’t Kept Text Message Data Since April

The agency’s response to public records requests indicated potential violations of federal records laws, experts said. By Minho Kim Reporting from Washington The Department of Homeland Security ...
marktechpost

Amazon Researchers Reveal Mitra: Advancing Tabular Machine Learning with Synthetic Priors

Mitra departs from the norm by being pretrained exclusively on synthetic data. Rather than relying on the limited and heterogeneous nature of real-world tabular datasets, Amazon researchers engineered ...
NBC News

Deep cuts to hurricane data could leave forecasters in the dark

Forecasters are expected to lose some of their sharpest eyes in the sky just a few months before Atlantic hurricane season peaks when the Department of Defense halts a key source of satellite data ...
Science Daily

'Periodic table of machine learning' could fuel AI discovery

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...
Tidbits

Text Fragments Enable Deep Linking on Web Pages

Sometime in the 1960s, hypertext pioneer Ted Nelson envisioned deep linking to specific pieces of text as a core feature of his proposed Project Xanadu system. (My first exposure to Xanadu came in the ...