3DHM Framework: One Image Mimics Any Video Action at 360 Degrees

NVIDIA AI Researchers Introduce FFN Fusion Technology: Accelerating Large Language Model Inference

Cost Less Than $50!! Researchers Train AI Reasoning Model S1, Comparable to OpenAI's O1

Recently, AI researchers from Stanford University and the University of Washington successfully trained an AI reasoning model named S1, with a training cost of less than $50 and very low cloud computing credits required. This research was published last Friday, indicating that S1 performs comparably to OpenAI's O1 model and DeepSeek's R1 model in mathematical and programming ability tests. The code and data for S1 have been made publicly available on GitHub for other researchers to use. The research team reported that they drew from a

Hugging Face Researchers Build Open Version of OpenAI's Deep Research Tool

Researchers Open Source Inference-Based AI Model Sky-T1 with Training Cost Below $450

Researchers Develop New AI Phishing Email Detection Method with 96% Accuracy

A Blessing for Researchers! The Latest AI2 Tool OpenScholar is Here, Boosting Research Efficiency by 10 Times! No More Staying Up Late for Literature Reviews

Researchers Discover an Energy-Efficient Method for Training Large Language Models, Reducing Energy Consumption by 30%

Recently, a new study from the University of Michigan found that an energy-efficient method for training large language models can achieve similar results in the same amount of time while reducing energy consumption by 30%. This method can save enough energy to power 1.1 million American households by 2026. The researchers developed a software tool named Perseus that identifies the critical path, which is a series of subtasks requiring the longest time to complete. Then, Perseus reduces the processor speed on non-critical paths so that all tasks can finish simultaneously.

Meta Launches Major Announcement! MobileLLM Model Fully Opened Up for Free Access to Researchers!

Meta recently announced that its MobileLLM model is now open to researchers, allowing users to download and use these models for free on the Hugging Face platform, fully integrated with the Transformers library. This initiative aims to promote research and development of large language models (LLMs) on mobile devices, providing a broader range of tools and resources for developers and academia. MobileLLM represents a significant advancement for Meta in the field of mobile AI.

Is AI Finally Getting Smarter? MIT Researchers Discover ‘Brain Regions’ in Large Models!

Is AI actually starting to ‘get smarter’?! The latest research from MIT indicates that the internal structure of large language models (LLMs) astonishingly resembles that of the human brain! This study utilized sparse autoencoder techniques to conduct an in-depth analysis of the activation space of LLMs, revealing three hierarchical structural features that are truly remarkable: first, at the microscopic level, researchers discovered the existence of structures akin to ‘crystals’. The surfaces of these ‘crystals’ are composed of parallelograms or trapezoids, similar to familiar lexical analogies such as ‘man:’

Researchers Develop New LLM Jailbreak Method With a Success Rate of 65%