Spiking Neural Networks (SNNs) represent the "third generation" of neural models, capturing the discrete, asynchronous, and energy-efficient nature of ...

In early phases of drug development, new active substances are tested in animals—alongside numerous other experimental ...

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered questions in ...

Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily ...

Millions of students worldwide have long relied on self-paced learning through pre-recorded video lectures, a model that ...

For the past decade, AI researcher Chris Olah has been obsessed with artificial neural networks. One question in particular engaged him, and has been the center of his work, first at Google Brain, ...

We should be cautious about permitting students to use Artificial Intelligence, especially when it allows them to offload ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

A new approach has been proposed to address the problem of "overconfidence"—one of the most critical risks of artificial ...

The future of conflict prediction relies on combining technical ability, institutional governance and ethical responsibility.