Marktechpost

OCTOBER 21, 2024

The proposed methodology is rooted in the concept of Walk-Jump Sampling, where noise is added to clean data, followed by training a neural network to denoise it, thereby allowing a smooth sampling process. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Neural Network 90

Neural Network Inference Engine Machine Learning ML 90

Marktechpost

OCTOBER 17, 2024

Static Embeddings are bags of token embeddings that are summed together to create text embeddings, allowing for lightning-fast embeddings without requiring neural networks. [link] Introduction of Static Embeddings Another major feature is Static Embeddings, a modernized version of traditional word embeddings like GLoVe and word2vec.

Neural Network 104

Neural Network Inference Engine NLP ML 104

Marktechpost

OCTOBER 16, 2024

More sophisticated machine learning approaches, such as artificial neural networks (ANNs), may detect complex relationships in data. In conclusion, the research underscores the significant advancements in photovoltaic energy forecasting using artificial neural networks while exposing their vulnerability to adversarial attacks.

Machine Learning 62

Machine Learning Neural Network Deep Learning Inference Engine 62

Marktechpost

OCTOBER 18, 2024

Weight averaging, originating from Utans’ work in 1996, has been widely applied in deep neural networks for combining checkpoints, utilizing task-specific information, and parallel training of LLMs. Researchers have explored various approaches to address the challenges of model merging and multitask learning in LLMs.

Large Language Models 62

Large Language Models Neural Network Inference Engine LLM 62

Mlearning.ai

JANUARY 28, 2023

With the growth of big data and artificial intelligence, it is important that you have the right tools to help you achieve your goals. TensorFlow: TensorFlow is an open source library for building neural networks and other deep learning algorithms on top of GPUs. The data-driven world will be in full swing.

Data Science 52

Data Science Machine Learning ML Python 52

Marktechpost

OCTOBER 14, 2024

raising widespread concerns about privacy threats of Deep Neural Networks (DNNs). Upcoming Live Webinar- Oct 29, 2024] The Best Platform for Serving Fine-Tuned Models: Predibase Inference Engine (Promoted) The post MIBench: A Comprehensive AI Benchmark for Model Inversion Attack and Defense appeared first on MarkTechPost.

Categorization 100

Categorization Neural Network Inference Engine AI 100

Viso.ai

MAY 24, 2024

Although still under research and development, these models can be a transformative force in the Artificial Intelligence (AI) world. This technique combines learning capabilities and logical reasoning from neural networks and symbolic AI. LAMs also combine language understanding with reasoning and software agents.

Neural Network 52

Neural Network Robotics Automation Explainability 52

Mlearning.ai

MAY 16, 2023

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. 1], (d) image by Shiwa ID on Unsplash. 2] Android.

Neural Network 98

Neural Network Convolutional Neural Networks Inference Engine Deep Learning 98

Unite.AI

JULY 18, 2024

They are made up of thousands of small cores that can manage multiple tasks simultaneously, excelling at parallel tasks like matrix operations, making them ideal for neural network training. These specialized hardware components are designed for neural network inference tasks, prioritizing low latency and energy efficiency.

Neural Network 162

Neural Network AI Modeling AI AI 162

Marktechpost

OCTOBER 19, 2024

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.

Deep Learning 99

Deep Learning Neural Network Robotics Inference Engine 99

Unite.AI

JUNE 21, 2024

The field of artificial intelligence (AI) has witnessed remarkable advancements in recent years, and at the heart of it lies the powerful combination of graphics processing units (GPUs) and parallel computing platform. This engine can then be used to perform efficient inference on the GPU, leveraging CUDA for accelerated computation.

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

Marktechpost

OCTOBER 21, 2024

Existing methods to address the challenges in AI-powered chess and decision-making systems include neural networks for chess, diffusion models, and world models. In chess AI, the field has evolved from handcrafted search algorithms and heuristics to neural network-based approaches.

Neural Network 57

Neural Network Inference Engine Large Language Models AI 57

Mlearning.ai

JUNE 2, 2023

NNAPI   — The Android Neural Networks API (NNAPI) is an Android C API designed for running computationally intensive operations for machine learning on mobile devices and enables hardware-accelerated inference operations on Android devices. In order to tackle this, the team at Modular developed a modular inference engine.

Inference Engine 52

Inference Engine Python Machine Learning Neural Network 52

Towards AI

JULY 19, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. DeepSparse: a CPU inference engine for sparse models. Follow their code on GitHub. SparseZoo: a model repo for sparse models.

NLP 77

NLP Neural Network Natural Language Processing BERT 77

Towards AI

JULY 21, 2023

github.com Their core repos consist of SparseML: a toolkit that includes APIs, CLIs, scripts and libraries that apply optimization algorithms such as pruning and quantization to any neural network. DeepSparse: a CPU inference engine for sparse models. Follow their code on GitHub. SparseZoo: a model repo for sparse models.

NLP 52

NLP Neural Network Natural Language Processing BERT 52