Mark Aitken, who worked in the sector for 16 years, said eight times out of 10 he disagreed with the integrated assessment tool ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

With the introduction of adaptive deep brain stimulation (aDBS) for Parkinson's disease, new questions emerge regarding who, why, and how to treat. This paper outlines the pathophysiological rationale ...

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

QuantalX combined transcranial magnetic stimulation and EEG technology in its first-of-its-kind brain network function ...

The Integrated Assessment Tool continues to draw attention, with Senator Anne Ruston asking department representatives ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Affective gestures are important in economics because economics is not just about numbers and models, but about people with ...

Who gets the job interview. Who receives public benefits. Who is flagged as high risk. Increasingly, these outcomes are shaped not by human deliberation but by algorithmic systems embedded deep within ...

Through sensor fusion, the combined benefits of radar and light detection and ranging (LiDAR) sensing are being implemented in each new generation of advanced driver assistance systems (ADAS).

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...