Abstract: This paper presents the design of a framework for loading a pre-trained model in PyTorch on embedded devices to run local inference. Currently, TensorFlow Lite is the most widely used ...

Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...

Google has announced LiteRT, the universal on-device AI framework, a significant milestone in a time when artificial intelligence is quickly shifting from cloud-based servers to consumers' own devices ...

ABSTRACT: This paper explores the application of various time series prediction models to forecast graphical processing unit (GPU) utilization and power draw for machine learning applications using ...

I found that PyTorch torch.nn.Conv2d produces results that differ from TensorFlow, PaddlePaddle, and MindSpore under the same inputs, weights, bias, and hyperparameters. This seems to be a numerical ...

Cybersecurity researchers have discovered vulnerable code in legacy Python packages that could potentially pave the way for a supply chain compromise on the Python Package Index (PyPI) via a domain ...

According to @soumithchintala, referencing @itsclivetime's remarks on X, repeated claims of over 5% speedup versus cuDNN on KernelBench should be met with caution, as many developers have reported ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Evaluates Python SAST, DAST, IAST and LLM-based security tools that power AI development and vibe coding LOS ALTOS, CA, UNITED STATES, November 6, 2025 /EINPresswire ...

Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, United States ...