Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

It has been reported that Q.ai is valued at around $2B, which would make it the second-largest acquisition Apple has ever undertaken, behind Beats Electronics in 2014 (around $3B) and Intel’s cellular ...

Artificial Intelligence (AI) has shifted from experimental use to real-world systems that are reshaping governance, healthcare, ...

Andrew Sliwinski, Lego Education’s head of product experience, discusses why young kids need to learn how AI models work — ...

Quantum computing and its threat to current encryption and the unknown threat of powerful quantum automated by advanced AI.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

While demand planning accuracy currently hovers around 60%, DLA officials aim to push that baseline figure to 85% with the help of AI and ML tools. Improved forecasting will ensure the services have ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

One of the world’s top artificial intelligence researchers, who works in New Brunswick, is optimistic about what the future could bring with advancements of the technology, but Moulay Akhloufi urges ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...