Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
Abstract: Deep learning-based techniques have emerged as powerful tools for fault diagnosis. However, conventional deep learning methods require designing and training fault diagnosis models from ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Grass-roots initiatives such as the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data- sharing Initiative (INDI) [1] are successfully amassing and sharing large-scale brain ...
A comprehensive review recently published in Current Molecular Pharmacology (2026, Volume 19, Pages 85–96) examines the ...
IP diligence comes in many forms—and in today’s environment, it demands more than ever before. Whether the context is a financing round, a strategic partnership, or a full acquisition, the ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...
WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...
Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application of deep learning and artificial intelligence ...
Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
Xizhe Zhang is a professor working across computer science and medicine at the Affiliated Brain Hospital of Nanjing Medical University and the School of Biomedical Engineering and Informatics, Nanjing ...
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