AI News
Microsoft Researchers Introduce Magentic-One: A Modular...
Agentic systems are a progressive branch of artificial intelligence that aims to...
SelfCodeAlign: An Open and Transparent AI Framework for...
Artificial intelligence has transformed code generation, with large language mod...
MIT Researchers Developed Heterogeneous Pre-trained Tra...
In today’s world, building robotic policies is difficult. It often requires coll...
Top 15+ GPU Server Hosting Providers in 2025
High-performance computing has become crucial for various businesses, including ...
A New Google DeepMind Research Reveals a New Kind of Vu...
The routing mechanism of MoE models evokes a great privacy challenge. Optimize L...
LLM-KT: A Flexible Framework for Enhancing Collaborativ...
Collaborative Filtering (CF) is widely used in recommender systems to match user...
M-RewardBench: A Multilingual Approach to Reward Model ...
Large language models (LLMs) have transformed fields ranging from customer servi...
SPARE: Training-Free Representation Engineering for Man...
Large Language Models (LLMs) have demonstrated impressive capabilities in handli...
Meet mcdse-2b-v1: A New Performant, Scalable and Effici...
The rise of the information era has brought an overwhelming amount of data in va...
Meta AI Silently Releases NotebookLlama: An Open Versio...
Meta has recently released NotebookLlama, an open version of Google’s NotebookLM...
Microsoft Asia Research Introduces SPEED: An AI Framewo...
Text embedding, a central focus within natural language processing (NLP), transf...
ConceptDrift: An AI Method to Identify Biases Using a W...
Datasets and pre-trained models come with intrinsic biases. Most methods rely on...
Researchers at the Ohio State University Introduce Famb...
The efficient training of vision models is still a major challenge in AI because...
GeoCoder: Enhancing Geometric Reasoning in Vision-Langu...
Geometry problem-solving relies heavily on advanced reasoning skills to interpre...
Google AI Introduces Iterative BC-Max: A New Machine Le...
When applying Reinforcement Learning (RL) to real-world applications, two key ch...
This AI Paper Introduces Optimal Covariance Matching fo...
Probabilistic diffusion models have become essential for generating complex data...
