How far will AI go to defend its own survival?
Recent safety tests show some AI models are capable of sabotaging commands or even resorting to blackmail to avoid being turned off or replaced.
What Is Conversational AI? Examples And Platforms
With Quiet-STaR language models learn to think before speaking (2024)
How Selective Forgetting Can Help AI Learn Better (2024)
Bioinformatics: Researchers develop a new machine learning approach (2024)
Council slashes translation costs with machine learning (2023)
What to Know About the Differences in Analytic Architecture Patterns (2023)
Why TensorFlow for Python is dying a slow death (2023)
Google's Muse model could be the next big thing for generative AI (2023)
Automatic speaker recognition technology outperforms human listeners in the courtroom: Researchers have compared speaker identification by listeners (like judges or jury members) with the output of a forensic-voice-comparison system (2022)
DeepMind AI cracks 50-year-old problem of protein folding
30 - 11 - 2020 | Ian Sample | The Guardian
Machine Learning and Fraud: Why Artificial Intelligence Isn’t Enough (2016)
Fatal AI mistakes could be prevented by having human teachers (2017)
30 - 08 - 2017 | Matt Reynolds | New Scientist
Google’s DeepMind achieves machine learning breakthroughs at a terrifying pace (2017)
20 - 10 - 2017 | Tristan Greene | The Next Web
How to Trick Machine Learning (2019)
How to Differentiate Between AI, Machine Learning, and Deep Learning (2019)
On “solving” Montezuma’s Revenge (2019)
The Guardian view on machine learning: a computer cleverer than you? (2019)