AI

Most people take boiling water for granted. For Associate Professor Matteo Bucci, uncovering the physics behind boiling has been a decade-long journey filled with unexpected challenges and new insights. The seemingly simple phenomenon is extremely hard to study in complex systems like nuclear reactors, and yet it sits at the core of a wide range […]

How well did you follow WIRED’s coverage of the biggest science and technology stories from 2024? Answer these 10 questions to test your knowledge.

From Elon Musk and Donald Trump to state-sponsored hackers and crypto scammers, this was the year the online agents of chaos gained ground.

Anti-algorithm tactics and human moderators need to keep the web honest.

The hyped-up Rabbit R1, Humane Ai Pin, and Apple Vision Pro have continued receiving updates since their lackluster launches. How are things progressing? I tried them again to find out.

The report The economic potential of generative AI: The next productivity frontier, published by McKinsey & Company, estimates that generative AI could add an equivalent of $2.6 trillion to $4.4 trillion in value to the global economy. The largest value will be added across four areas: customer operations, marketing and sales, software engineering, and R&D.

Deepfakes were nothing like the political force in 2024 that many feared—but that doesn’t mean that generative AI didn’t profoundly affect elections all over the world.

Countries must collaborate if we’re going to create a less fearful future for artificial intelligence.

Training large language models (LLMs) models has become a significant expense for businesses. For many use cases, companies are looking to use LLM foundation models (FM) with their domain-specific data. However, companies are discovering that performing full fine tuning for these models with their data isn’t cost effective. To reduce costs while continuing to use the

When building voice-enabled chatbots with Amazon Lex, one of the biggest challenges is accurately capturing user speech input for slot values. For example, when a user needs to provide their account number or confirmation code, speech recognition accuracy becomes crucial. This is where transcription confidence scores come in to help ensure reliable slot filling. What