Astronomers Detect the Hidden Process That May Trigger Star Birth

This process weakens magnetic support, allowing the core to collapse and eventually form a protostar. Credit: Yurika Nakamura ...
The Next Web

Monitoring systemic drift may guide the next phase of organizational resilience

Jeffrey Rachlin and Andy Hyman's MPOSD framework identifies five structural signals that indicate when AI governance visibility is narrowing, helping organizations detect systemic drift before ...
Tech Times

Diffusion LLM Learns to Be Its Own Draft Model: NVIDIA Releases Tri-Mode Open Weights

Nemotron-Labs-Diffusion, NVIDIA’s new tri-mode language model, eliminates the separate draft model in speculative decoding: ...

An orbiting disco ball gave Einstein’s theory its most precise test yet

Albert Einstein’s general theory of relativity predicts that a rotating mass like the Earth pulls the fabric of space and ...

Capturing the cosmic 'drift' before a star is born

Stars like our sun are formed from the collapse of stellar objects called prestellar cores, cold and dense concentrations of ...
GitHub

Truncated Diffusion Model for End-to-End Autonomous Driving

Diffusion policy exhibits promising multimodal property and distributional expressivity in robotic field, while not ready for real-time end-to-end autonomous driving in more dynamic and open-world ...
GitHub

ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation

ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...
Tech Times

Open-Source World Model AlayaWorld Sustains Interactive Play Past the One-Minute Mark

Open-source world model AlayaWorld, released by China’s Shanda AI Research in July 2026, sustains interactive video ...
IEEE

ExDiffusion: Classifier-Guidance Diffusion Model for Extreme Load Scenario Generation With Extreme Value Theory

Abstract: Extreme load scenario generation is essential for power system planning and security assessment. However, the challenges of limited data and complex external features in extreme events make ...

Study compares machine learning models of raindrop formation

Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...
IEEE

Spacetime Separable Latent Diffusion Model With Intensity Structure Information for Precipitation Nowcasting

Abstract: The growing volume of meteorological data and advancements in computing performance have made the application of deep learning technology in short-term rainfall prediction crucial. However, ...