In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn ...

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning ...

The authors argue that the current digital attention economy is an outcome of intentional design rooted in the business models of major technology platforms. Social media apps, content platforms, and ...

A face mask with a nanomaterial-based humidity sensor and AI model interprets breath patterns during silent speech to restore communication for patients.

The prime focus while developing the PS6 console would be on Machine Learning technology, which will be used to enhance ...

AI requires a lot of data, particularly for training models. The problem is that planar chips are unable to process all that ...

That theory posits that, if memories were shrubs, the non-REM phase of sleep helps them grow taller and stronger. The REM ...

In this article, a novel machine learning regression-based single-event transient (SET) modeling method is proposed. The proposed method can obtain a reasonable and accurate SET model without ...

An analog neural network for support vector machine learning is proposed, based on a partially dual formulation of the quadratic programming problem. It results in a simpler circuit implementation ...

Apple has announced a groundbreaking initiative to leverage AI in its chip design process. Collaborating with industry leaders Cadence Design Systems and Synopsys, Apple is harnessing advanced AI ...

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...