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TREAT: A Deep Learning Framework that Achieves High-Precision Modeling for a Wide Range of Dynamical Systems by Injecting Time-Reversal Symmetry as an Inductive Bias

Marktechpost

Inaccurate predictions in these cases can have real-world consequences, such as in engineering designs or scientific simulations where precision is critical. HNNs are particularly effective for systems where energy conservation holds but struggle with systems that violate this principle. If you like our work, you will love our newsletter.

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Setting Up a Training, Fine-Tuning, and Inferencing of LLMs with NVIDIA GPUs and CUDA

Unite.AI

The Rise of CUDA-Accelerated AI Frameworks GPU-accelerated deep learning has been fueled by the development of popular AI frameworks that leverage CUDA for efficient computation. NVIDIA TensorRT , a high-performance deep learning inference optimizer and runtime, plays a vital role in accelerating LLM inference on CUDA-enabled GPUs.

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Transformative Impact of Artificial Intelligence AI on Medicine: From Imaging to Distributed Healthcare Systems

Marktechpost

AI processes large datasets to identify patterns and build adaptive models, particularly in deep learning for medical image analysis, such as X-rays and MRIs. ML algorithms learn from data to improve over time, while DL uses neural networks to handle large, complex datasets.

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PyTorch 2.5 Released: Advancing Machine Learning Efficiency and Scalability

Marktechpost

In particular, the release targets bottlenecks experienced in transformer models and LLMs (Large Language Models), the ongoing need for GPU optimizations, and the efficiency of training and inference for both research and production settings. The new PyTorch release brings exciting new features to its widely adopted deep learning framework.

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MIBench: A Comprehensive AI Benchmark for Model Inversion Attack and Defense

Marktechpost

raising widespread concerns about privacy threats of Deep Neural Networks (DNNs). raising widespread concerns about privacy threats of Deep Neural Networks (DNNs). If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

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Deployment of PyTorch Model Using NCNN for Mobile Devices?—?Part 2

Mlearning.ai

Deployment of deep neural network on mobile phone. (a) Introduction As more and more deep neural networks, like CNNs, Transformers, and Large Language Models (LLMs), generative models, etc., to boost the usages of the deep neural networks in our lives. Hope these series of posts help.

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Analysis of Deceptive Data Attacks with Adversarial Machine Learning for Solar Photovoltaic Power Generation Forecasting

Marktechpost

Deep learning-based prediction is critical for optimizing output, anticipating weather fluctuations, and improving solar system efficiency, allowing for more intelligent energy network management. More sophisticated machine learning approaches, such as artificial neural networks (ANNs), may detect complex relationships in data.