Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...

Thailand's northern regions, characterized by complex geology and active fault systems, experience frequent landslides that ...

Nowadays, compute-intensive programs, like those for training artificial intelligence and machine learning models, are used extensively. Modern ...

Monarch framework, currently experimental, allows Python programmers to program distributed systems as if they were just one ...

The National Council of Educational Research and Training (NCERT) has signed an MoU with the Institute of Technology, Madras ...

Toronto, Canada, October 31st, 2025, FinanceWireIn an era where digital threats evolve faster than legacy defenses, Niagara ...

By enhancing forecast precision, the system enables governments to preempt budgetary imbalances, reduce waste, and optimize spending efficiency. The authors argue that the combination of machine ...

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

Alif Semiconductor®, the leading global supplier of secure, connected, power efficient Artificial Intelligence and Machine ...

ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.

Oakstone Society announces a new AI-based risk control framework developed under Professor Cedric Halden, integrating Trivora ...