Data analysis, statistics, and data engineering
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
Hi all, I’m curious about the current review dynamics for ICML 2026, especially after the rebuttal phase. For those who are reviewers (or...
MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...
MIT and Microsoft researchers have developed AI-designed molecular sensors that can detect early cancer signs through urine tests, enhanc...
The article highlights recent publications from the MIT community, showcasing a diverse range of topics from economics to environmental s...
Researchers at MIT and the Broad Institute have developed a method to rejuvenate the immune system by programming liver cells to produce ...
This report analyzes 91,284 interactions from AI agents to assess threat detection efficacy, focusing on multilabel classification and pe...
The article discusses the common issue of AI courses being overly broad, lacking depth in specific skills, and the frustration this cause...
Oura has launched a proprietary AI model aimed at enhancing women's health insights through its chatbot, Oura Advisor, covering a range o...
Nimble has raised $47 million to enhance AI agents' access to real-time web data, enabling structured, validated search results for enter...
This edition of The Download explores the use of technology in combating wildlife poaching, the rise of peptides in wellness culture, and...
Conservationists are using innovative technologies, including radioactive isotopes, to combat wildlife trafficking and protect endangered...
The article explores the increasing density of human-made objects in space, highlighting the rise in active satellites and the growing is...
AI has made a groundbreaking discovery in the realm of physics, revealing new insights into the fourth state of matter, which could resha...
![[2601.16449] Emotion-LLaMAv2 and MMEVerse: A New Framework and Benchmark for Multimodal Emotion Understanding](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper introduces Emotion-LLaMAv2 and MMEVerse, a new framework and benchmark aimed at enhancing multimodal emotion understanding thro...
The paper introduces WAKESET, a large-scale dataset for machine learning focused on turbulent wake dynamics, addressing the need for high...
This paper explores the adaptation of Rectified Flow (RF) to low-dimensional target distributions, demonstrating improved sampling effici...
This paper presents a novel information-theoretic framework for identifying causal effects in the presence of unmeasured confounding, ove...
This paper presents a novel framework for constrained density estimation using optimal transport, focusing on minimizing Wasserstein dist...
This paper presents a functorial framework for persistent homology using finite topological spaces, demonstrating stability in persistenc...
The RAIR benchmark introduces a comprehensive dataset for evaluating e-commerce relevance, addressing the limitations of existing benchma...
The paper introduces the Semiparametric Kernelized Stein Discrepancy (SKSD) test, a novel goodness-of-fit test that unifies score-based a...
This paper presents a novel framework for determining stopping rules in Stochastic Gradient Descent (SGD) using anytime-valid confidence ...
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