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TODS: Automated Outlier Detection for Multivariate Time Series – No ML Expertise Required

TODS: Automated Outlier Detection for Multivariate Time Series – No ML Expertise Required 1637

In modern data-driven operations—whether monitoring industrial sensors, analyzing financial transactions, or securing IT infrastructure—unexpected anomalies can signal critical failures, fraud,…

01/04/2026Automated Machine Learning, Multivariate Outlier Detection, Time-series Anomaly Detection
FinRL-Meta: Build Realistic Financial Reinforcement Learning Agents Without the Data Headache

FinRL-Meta: Build Realistic Financial Reinforcement Learning Agents Without the Data Headache 1748

Financial markets are among the most complex and noisy environments for deploying reinforcement learning (RL) agents. Unlike simulated games or…

01/04/2026Algorithmic Trading, Financial Reinforcement Learning, Quantitative Finance
Punica: Serve Dozens of LoRA Models on One GPU—12x Faster, 2ms Overhead

Punica: Serve Dozens of LoRA Models on One GPU—12x Faster, 2ms Overhead 1128

Deploying multiple fine-tuned large language models (LLMs) used to mean multiplying your GPU costs—until Punica arrived. If you’re managing dozens…

01/04/2026Efficient Model Deployment, LoRA Inference, Multi-tenant LLM Serving
TurboDiffusion: Generate High-Quality AI Videos in Seconds Instead of Minutes on a Single GPU

TurboDiffusion: Generate High-Quality AI Videos in Seconds Instead of Minutes on a Single GPU 1449

Video generation using diffusion models has long suffered from a crippling bottleneck: speed. Even the most advanced models can take…

01/04/2026Image-to-Video Synthesis, Text-to-Video Generation, Video Diffusion Acceleration
Emu3.5: A Native Multimodal World Model for Unified Vision-Language Generation and Reasoning

Emu3.5: A Native Multimodal World Model for Unified Vision-Language Generation and Reasoning 1372

Imagine a single AI model that doesn’t just “see” or “read”—but seamlessly blends images and text in both input and…

01/04/2026Multimodal Generation, vision-language modeling, World Modeling
XuanCe: A Unified Deep Reinforcement Learning Library for Reliable, Cross-Framework AI Development

XuanCe: A Unified Deep Reinforcement Learning Library for Reliable, Cross-Framework AI Development 1008

Deep reinforcement learning (DRL) holds immense promise—from robotic control and autonomous systems to multi-agent coordination and game AI. Yet for…

01/04/2026Deep Reinforcement Learning, Model-Based Reinforcement Learning, Multi-Agent Reinforcement Learning
AI-Trader: Benchmark Autonomous LLM Agents in Real Financial Markets with Zero Human Intervention

AI-Trader: Benchmark Autonomous LLM Agents in Real Financial Markets with Zero Human Intervention 10216

Evaluating whether large language models (LLMs) can truly function as autonomous decision-makers in dynamic, real-world environments remains a fundamental challenge…

01/04/2026Autonomous Agent Evaluation, Financial Decision-Making, Real-Time LLM Benchmarking
OmDet: Real-Time Open-Vocabulary Object Detection with Transformer Speed and Zero-Shot Accuracy

OmDet: Real-Time Open-Vocabulary Object Detection with Transformer Speed and Zero-Shot Accuracy 1360

OmDet is a breakthrough in open-vocabulary object detection (OVD)—a vision-language paradigm that enables models to recognize not just pre-defined object…

01/04/2026Open-vocabulary Object Detection, Real-time Object Detection, Zero-shot Object Detection
LeVo: Generate Full-Length, High-Fidelity Songs with Perfect Vocal-Instrument Harmony—Even on Consumer GPUs

LeVo: Generate Full-Length, High-Fidelity Songs with Perfect Vocal-Instrument Harmony—Even on Consumer GPUs 1005

LeVo is a breakthrough in open-source AI music generation. Unlike many existing tools that produce fragmented, low-quality, or inconsistent audio,…

01/04/2026AI Music Generation, Multimodal Sequence Modeling, Text-to-music Synthesis
LMCache: Slash LLM Inference Latency and Multiply Throughput with Enterprise-Grade KV Cache Reuse

LMCache: Slash LLM Inference Latency and Multiply Throughput with Enterprise-Grade KV Cache Reuse 6375

Deploying large language models (LLMs) at scale introduces a familiar bottleneck: the growing size of Key-Value (KV) caches rapidly outpaces…

01/04/2026KV Cache Reuse, LLM Inference Optimization, Retrieval-Augmented Generation

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