Open source / Neural Networks and Deep Learning

Matrix-3D: Open Framework for Generating Fully Explorable 3D Worlds from a Single Image

14 August 2025

Matrix-3D: Open Framework for Generating Fully Explorable 3D Worlds from a Single Image

Researchers from Skywork AI and the Hong Kong University of Science and Technology have introduced Matrix-3D — a framework for creating fully explorable 3D worlds from a single image or…

3D-R1: Open Source Reasoning Model for 3D Scenes Outperforms State-of-the-Art Methods by 10% on 3D Benchmarks

6 August 2025

3D-R1: Open Source Reasoning Model for 3D Scenes Outperforms State-of-the-Art Methods by 10% on 3D Benchmarks

Researchers from Shanghai University of Engineering Science and Peking University presented 3D-R1 — a new foundation model that significantly improves reasoning capabilities in three-dimensional vision-language models (VLM). The model demonstrates an average performance…

Show-o2: Open-source 7B multimodal model outperforms 14B models on benchmarks using significantly less training data

11 July 2025

Show-o2: Open-source 7B multimodal model outperforms 14B models on benchmarks using significantly less training data

Researchers from Show Lab at the National University of Singapore and ByteDance introduced Show-o2 — a second-generation multimodal model that demonstrates superior results in image and video understanding and generation…

TreeQuest Framework: Adaptive LLM Teams Outperform Individual Models by 30%

8 July 2025

TreeQuest Framework: Adaptive LLM Teams Outperform Individual Models by 30%

Researchers from Sakana AI have introduced Adaptive Branching Monte Carlo Tree Search (AB-MCTS) — a revolutionary approach to creating “dream teams” from large language models that allows them to dynamically…

MiniCPM4: Open Local Model Achieves Qwen3-8B Performance with 7x Inference Acceleration

15 June 2025

MiniCPM4: Open Local Model Achieves Qwen3-8B Performance with 7x Inference Acceleration

The OpenBMB research team presented MiniCPM4 — a highly efficient language model designed specifically for local devices. MiniCPM4-8B achieves comparable performance to Qwen3-8B (81.13 vs 80.55), while requiring 4.5 times…

Strict On-Policy Training with Optimal Baseline: Microsoft Introduces Simplified Algorithm for RLHF

4 June 2025

Strict On-Policy Training with Optimal Baseline: Microsoft Introduces Simplified Algorithm for RLHF

The Microsoft Research team introduced On-Policy RL with Optimal reward baseline (OPO) — a simplified reinforcement learning algorithm for aligning large language models. The new method addresses key problems of…

Visual-ARFT: Multimodal AI Agents Outperform GPT-4o by 18.6% in Complex Visual Tasks

22 May 2025

Visual-ARFT: Multimodal AI Agents Outperform GPT-4o by 18.6% in Complex Visual Tasks

A research team from Shanghai Jiao Tong University and Shanghai Artificial Intelligence Laboratory has introduced Visual Agentic Reinforcement Fine-Tuning (Visual-ARFT) — a new approach to training large multimodal models with…

NVIDIA Isaac 5.0: Enhanced Sensor Physics and Expanded Synthetic Data Generation

19 May 2025

19 May 2025

NVIDIA Isaac robotics platform showing a humanoid robot interacting with objects

NVIDIA Isaac 5.0: Enhanced Sensor Physics and Expanded Synthetic Data Generation

19 May 2025

NVIDIA continues to push the boundaries of AI-driven robotics with significant updates to its Isaac ecosystem, announced at COMPUTEX 2025. These innovations address key challenges in robotics development by enhancing…

ZEROSEARCH: A Framework That Cuts LLM Search Training Costs by 88%

9 May 2025

ZEROSEARCH: A Framework That Cuts LLM Search Training Costs by 88%

Alibaba’s NLP research team has officially open-sourced ZEROSEARCH, a complete framework for training LLMs to search without using real search engines. ZEROSEARCH builds on a key insight: LLMs have already…

Phi-4-reasoning: Microsoft’s Breakthrough in AI Thinking

4 May 2025

Phi-4-reasoning: Microsoft’s Breakthrough in AI Thinking

Microsoft recently unveiled Phi-4-reasoning, a 14-billion parameter model that achieves exceptional performance on complex reasoning tasks, outperforming models 5-47 times larger while requiring significantly less computational resources, with developers able…

DeepMath-103K: Advancing AI Reasoning Through Challenge

21 April 2025

DeepMath-103K: Advancing AI Reasoning Through Challenge

Mathematical reasoning stands as a crucial benchmark for artificial intelligence systems, requiring logical deduction, symbolic manipulation, and multi-step problem-solving. Recent breakthroughs in AI reasoning have been significantly driven by reinforcement…

MedSAM2: Open Source SOTA 3D Medical Image and Video Segmentation Model

13 April 2025

MedSAM2: Open Source SOTA 3D Medical Image and Video Segmentation Model

Medical image segmentation plays a critical role in precision medicine, enabling more accurate diagnosis, treatment planning, and quantitative analysis. While significant progress has been made in developing both specialized and…

Llama Nemotron: NVIDIA Launches Family of Open Reasoning AI Models Overtaking DeepSeek R1

19 March 2025

Llama Nemotron: NVIDIA Launches Family of Open Reasoning AI Models Overtaking DeepSeek R1

NVIDIA has announced the open Llama Nemotron family of models with reasoning capabilities, designed to provide a business-ready foundation for creating advanced AI agents. These models can work independently or…

Chain-of-Experts: Novel Approach Improving MoE Efficiency with up to 42% Memory Reduction

11 March 2025

Chain-of-Experts: Novel Approach Improving MoE Efficiency with up to 42% Memory Reduction

Chain-of-Experts (CoE) – a novel approach fundamentally changing how sparse language models process information, delivering better performance with significantly less memory. This breakthrough addresses key limitations in current Mixture-of-Experts (MoE)…

R1-Onevision: Open Source 7B-Parameter Model Outperforming GPT-4o in Maths and Reasoning Tasks

27 February 2025

R1-Onevision: Open Source 7B-Parameter Model Outperforming GPT-4o in Maths and Reasoning Tasks

Researchers from Zhejiang University have released R1-Onevision, a 7B parameters multimodal reasoning model that processes and analyzes visual inputs with unprecedented logical precision, capable of understanding complex mathematical, scientific, and…

Step-Video-T2V: Text-to-Video Open-Source Model Achieves 16x Video Compression Breakthrough

20 February 2025

Step-Video-T2V: Text-to-Video Open-Source Model Achieves 16x Video Compression Breakthrough

Researchers from Stepfun AI have developed Step-Video-T2V, a 30-billion-parameter text-to-video model that generates videos up to 204 frames in length, 544×992 resolution, capable of understanding both Chinese and English prompts.…

ByteDance Unveil TA-TiTok Tokenizer Achieving SOTA in Text-to-Image Generation Using Only Public Data

19 January 2025

ByteDance Unveil TA-TiTok Tokenizer Achieving SOTA in Text-to-Image Generation Using Only Public Data

Researchers from ByteDance and POSTECH introduced TA-TiTok (Text-Aware Transformer-based 1-Dimensional Tokenizer), a novel approach to making text-to-image AI models more accessible and efficient. Their work demonstrates through MaskGen models how…

MiniMax-01: 4M Context Length Benchmark Leader Powered by Lightning Attention

15 January 2025

MiniMax-01: 4M Context Length Benchmark Leader Powered by Lightning Attention

MiniMax has open-sourced its latest MiniMax-01 series, introducing two models that push the boundaries of context length and attention mechanisms: MiniMax-Text-01 for language processing and MiniMax-VL-01 for visual-language tasks. The…

ArtAug: Open Source Framework for Image Generation Models Enhancement

18 December 2024

ArtAug: Open Source Framework for Image Generation Models Enhancement

East China Normal University and Alibaba Group researchers have introduced ArtAug, a framework that enhances text-to-image generation through synthesis-understanding interaction. This approach significantly improves image quality without requiring extensive manual…