Google scientists are applying Empirical Research Assistance (ERA) across health, cosmology, and climate, advancing scientific discovery and public health.
The Latest
Four ways Google Research scientists have been using Empirical Research Assistance
The Birthplace of AI
A site in Toronto has been officially recognized as the birthplace of artificial intelligence, marking a significant milestone in AI history.
I Will Never Use AI to Code
A developer publicly states they will never use AI for coding, citing concerns over quality and control. The stance highlights ongoing debates about AI in software development.
8 Best Window Cleaning Robots for 2026
Discover the top window cleaning robots of 2026. Find the best overall, value, and beginner-friendly options for spotless glass effortlessly.
9 Best Best Robot Lawn Mower in 2026
Discover the top robot lawn mowers of 2026. Find the best overall, value, premium options, and more to keep your lawn perfectly trimmed with ease.
The Hidden Cost of Cheap Webcams in High-Trust Work
Secrets behind cheap webcams can sabotage your credibility and security; discover how to protect yourself before it’s too late.
AI Meeting Notes Are Great Until Nobody Owns the Decision
While AI meeting notes are valuable, without clear ownership, decisions risk becoming meaningless—discover how to ensure accountability and drive real progress.
13 Best Best Robot Vacuum Allergy Filters in 2026
Discover the top robot vacuum allergy filters of 2026. Our guide highlights the best options for allergy sufferers, balancing performance and value.
[AINews] GPT-Realtime-2, -Translate, and -Whisper: new SOTA realtime voice APIs
![[AINews] GPT-Realtime-2, -Translate, and -Whisper: new SOTA realtime voice APIs](https://artificialintelligencemax.com/wp-content/uploads/2026/05/ainews-gpt-realtime-2-translate-and-whisper-new-sota-realtime-voice-apis-featured.jpg)
OpenAI introduces GPT-Realtime-2, Translate, and Whisper APIs, enabling advanced real-time voice reasoning, translation, and transcription capabilities.
Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery
Researchers introduce DVBL, a non-neural method for learning basis functions directly from data, offering interpretability and rigorous analysis advantages.
