Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Providing Safer AI Mental Health Guidance That Fuses Together Responses From Multiple LLMs In Real-Time Via FUSE-MH

A new means of getting AI to provide safer and better mental health guidance entails using fusion. A technique called FUSE-MH ...
IEEE

Intelligent Human Gait Phase Classification Using Machine Learning Models

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
InfoQ

Enhancing A/B Testing at DoorDash with Multi-Armed Bandits

While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...
GitHub

R3DM: Enabling Role Discovery and Diversity Through Dynamics Models in Multi-agent Reinforcement Learning

This repository contains the official implementation for R3DM accepted at the International Conference on Machine Learning (ICML) 2025. It includes the source code for the ACORM and R3DM algorithms, ...
Unite.AI

Chatbots Push ‘AI’ Careers and Stocks More Than Humans Do

AI chatbots, including commercial market leaders such as ChatGPT, Google Gemini, and Claude, dispense advice that heavily ...
IEEE

A Multi-Label Text Categorization Algorithm Incorporating Label-Guided Attention Mechanisms

Abstract: This paper proposes a multi-label text classification algorithm based on causal relationships to address the current challenge of accurately capturing label correlations in multi-label text ...
Scientific Research Publishing

Implementing an Electrocardiogram Suite in the Emergency Department to Decrease Door-to-EKG Time ()

Triage, Critical Clinical Workflow Process, Chest Pain, Electrocardiogram (EKG), Door-to-EKG (DTE) Time Share and Cite: ...
Science Daily

This AI spots dangerous blood cells doctors often miss

A generative AI system can now analyze blood cells with greater accuracy and confidence than human experts, detecting subtle signs of diseases like leukemia. It not only spots rare abnormalities but ...

A new gig rises, will it scale up?

As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...
GitHub

TesserAct: Learning 4D Embodied World Models

We propose TesserAct, the first open-source and generalized 4D World Model for robotics, which takes input images and text instructions to generate RGB, depth, and normal videos, reconstructing a 4D ...
The Daily Overview on MSN

20 legit at-home jobs you can start without leaving your couch

Legit at-home jobs are not limited to corporate payrolls or gig apps. Many people now build résumés, portfolios, and professional networks through structured remote roles that look and feel like work, ...