Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

As the world transitions toward cleaner and more sustainable energy futures, the coexistence of renewable and fossil fuel-based energy sources in hybrid systems has emerged as a pragmatic solution to ...

The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

No image is infinitely sharp. For 150 years, it has been known that no matter how ingeniously you build a microscope or a ...

Models rewrite code to avoid being shut down. That’s why ‘alignment’ is a matter of such urgency.

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

Accurate climate prediction, particularly precipitation forecasting, remains a cornerstone for agriculture, water resource management, and disaster ...

Centric Analysis of DeepSeek’s Multi-Head Latent Attention” was published by researchers at KU Leuven. Abstract “Multi-Head Latent Attention (MLA), introduced in DeepSeek-V2, improves the efficiency ...