Mark Aitken, who worked in the sector for 16 years, said eight times out of 10 he disagreed with the integrated assessment tool ...
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 ...
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 ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
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 ...
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 ...
QuantalX combined transcranial magnetic stimulation and EEG technology in its first-of-its-kind brain network function ...
The position paper “Reconciling AI Sovereignty and Exportability” builds on decades of work by Thales in artificial intelligence, notably within its CortAIx entities, and places respect for national ...
Loose-fitting e-textiles may offer superior motion tracking capabilities, enhancing recognition accuracy and prediction over conventional rigid sensors.
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