Big banks benefiting from boom in data center construction, as they can accommodate capital needs of hyperscalers & have investment banking arms that can run securitization offerings.

Wildlife trafficking is one of the world's most widespread illegal trades, contributing to biodiversity loss, organized crime, and public health risks. Once concentrated in physical markets, much of ...

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...

Container instances. Calling docker run on an OCI image results in the allocation of system resources to create a ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?

Turns out the factory of the future doesn't just need a software update... it needs a crash mat. Hangzhou-based Unitree Robotics says it will ship up to 20,000 humanoid robots in ...

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

Alibaba unveiled Qwen3.5, an open-weight, 397-billion-parameter mixture-of-experts model that only wakes up 17 billion neurons per prompt. The payoff? You get 60% lower inference ...

Clinical neurophysiology examinations include electroencephalography, sleep and vigilance studies, as well as nerve ...

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...