Technology

Sparkle’s ‘Thundermage’ concept pitches Thunderbolt as a GPU port

AI Observer
DeepMind

Google’s new AI model is better than the top weather forecasting...

AI Observer
Anthropic

Mark Zuckerberg and Sheryl Sandberg want you to know they’re still...

AI Observer
Anthropic

Here’s what we know about the Nintendo Switch 2 so far.

AI Observer
Anthropic

Frames, Runway’s AI image generator, is here and it looks cinematic

AI Observer
Anthropic

Devin 1.2: Updated AI Engineer enhances coding through smarter in context...

AI Observer
News

OpenAI has created a AI model for longevity science.

AI Observer
News

ChatGPT is used by more than a quarter (25%) of teens...

AI Observer
News

ChatGPT’s head of product will testify in the US government’s case...

AI Observer
News

AWS adds a 32-vCPU option to its cloudy desktops and an...

AI Observer
News

SpaceX resets the ‘Days Since Starship exploded’ counter to zero.

AI Observer

Featured

News

Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear...

AI Observer
Education

Qwen Researchers Proposes QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning...

AI Observer
Natural Language Processing

Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large...

AI Observer
News

A Step-by-Step Coding Implementation of an Agent2Agent Framework for Collaborative and...

AI Observer
AI Observer

Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear...

Chaotic systems, such as fluid dynamics or brain activity, are highly sensitive to initial conditions, making long-term predictions difficult. Even minor errors in modeling these systems can rapidly grow, which limits the effectiveness of many scientific machine learning (SciML) approaches. Traditional forecasting methods rely on models trained on specific...