Experts say effective integration means designing AI use that complements, not replaces, the mental effort required for lasting learning. Research on "desirable difficulties" shows that when learning ...

CMS employed machine learning to probe rare Higgs decays into charm quarks. The search produced the most stringent limits so ...

Overview Strong basics in math, programming, and statistics drive faster AI progressReal projects teach problem-solving better than endless tutorialsData qualit ...

Rohan Sathe is the Co-Founder & CEO of Nightfall AI. Before co-founding Nightfall, he led the backend team at Uber Eats, ...

This important work sets out to identify the neural substrates of associative fear responses in adult zebrafish. Through a compelling and innovative paradigm and analysis, the authors suggest brain ...

We also applied machine learning algorithms ... 3 To address these limitations, text analysis tools such as CiteSpace and VOSviewer offer classification-independent methods to identify key topics.4 5 ...

Tencent has open-sourced its Hunyuan-MT AI translation models, which dominated WMT2025 benchmarks by outperforming industry ...

1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

Suvendu Mohanty changed from software to ML engineering before the AI boom. Here's how he made the switch — and his advice ...

The Japanese AI laboratory Sakana AI has developed a new evolutionary algorithm called "Natural Ecological Niche Model Fusion ...

Understand the key differences between search rankings and AI citations, and how to create content that performs in both.

"VibeVoice is a novel framework designed for generating expressive, long-form, multi-speaker conversational audio, such as ...