Machine learning automates material analysis and design using X-ray spectroscopy data

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

Advancing AI By Nesting Minds Inside The Layers Of Machine Learning And LLMs

Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
NatureOpinion

‘It keeps me awake at night’: machine-learning pioneer on AI’s threat to humanity

Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.
GEN - Genetic Engineering and Biotechnology News

Machine-Learning-Assisted mAb Yield Improvement

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
EurekAlert!

Enhancing the reliability of machine learning for gravitational wave parameter estimation with attention-based models

Osaka Metropolitan University researchers developed a technique to improve machine learning reliability and estimation results of gravitational wave parameters.

New deep learning model enhances roadside air pollutant forecasting accuracy

A research team led by Prof. Li Xiangxian from the Anhui Institute of Optics and Fine Mechanics, the Hefei Institutes of ...

Baseten takes on hyperscalers with new AI training platform that lets you own your model weights

Baseten launches a new AI training infrastructure platform that gives developers full control, slashes inference costs by up to 84%, and eliminates vendor lock-in across multi-cloud environments.