A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...
From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
We’re honored to welcome Tom and Ram to our advisory board. Their combined insights, from standards in verification and ...
Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Research shows companies that move fast and iterate early outperform slower rivals by capturing market share, improving ...
ScyllaDB today announced the general availability of its new Vector Search capability, which is integrated into ScyllaDB X Cloud. This high-performance vector search supports the industry’s largest ...
ScyllaDB’s integrated Vector Search can handle datasets of 1 billion vectors with P99 latency as low as 1.7 ms and throughput up to 252,000 QPSSUNNYVALE, Calif., Jan. 20, 2026 (GLOBE NEWSWIRE) -- ...
Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Abstract: Open-circuit faults in three-phase voltage source inverters can cause unbalanced currents, high torque ripple, and excessive core losses in permanent magnet synchronous machines. To ...
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