When OpenAI's Sam Altman told reporters in San Francisco earlier this year that the AI sector is in a bubble, the American ...

Periodic maintenance is common too, but still inefficient and often based on time, not actual machine condition. That ...

Artificial intelligence systems that are designed with a biologically inspired architecture can simulate human brain activity before ever being trained on any data, according to new research from John ...

The predominance of negative sentiment aligns with early public reactions to transformative technologies, where concerns about privacy, job loss, misinformation and ethical boundaries often amplify ...

AI startups are seeing record valuations, but many are building on a foundation of cheap, free-to-download Chinese AI models.

Machine learning (ML), a subset of AI, has the capacity to address technical limitations that traditional diagnostic methods ...

Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type ...

The distribution of false information on the internet is not only an annoyance; it has the ability to alter the outcome of ...

Know why ML-driven anomaly detection is crucial for preventing malicious signature requests. Learn how machine learning identifies zero-day threats and secures crypto wallets.

Producing clean syngas from biomass and plastic waste offers a promising route toward sustainable energy, but the underlying thermochemical processes ...