IBM Journey to AI blog

SEPTEMBER 24, 2024

Can AI help mitigate the impending agricultural crisis we’ll be facing over the next few decades? Dr. Abhisesh Silwal, a systems scientist at Carnegie Mellon University whose research focuses on AI and robotics in agriculture, thinks so. Well-trained computer vision models produce consistent quantitative data instantly.”

Explainability 184

Explainability Computer Vision Convolutional Neural Networks AI 184

Pickl AI

AUGUST 14, 2024

Neural networks come in various forms, each designed for specific tasks: Feedforward Neural Networks (FNNs) : The simplest type, where connections between nodes do not form cycles. Robotics Neural networks are also applied in robotics, enabling machines to learn from their environments and perform complex tasks.

Neural Network 52

Neural Network Machine Learning Convolutional Neural Networks Natural Language Processing 52

Pickl AI

SEPTEMBER 3, 2024

For example, convolutional neural networks (CNNs), a specific type of ANN, are widely used for image classification tasks, enabling applications such as facial recognition and object detection. Frequently Asked Questions What are the main types of Artificial Neural Network? How do Artificial Neural Network learn?

Neural Network 52

Neural Network Convolutional Neural Networks Natural Language Processing Machine Learning 52

Pickl AI

JULY 14, 2023

Deep Learning, a subfield of ML, gained attention with the development of deep neural networks. Moreover, Deep Learning models, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), achieved remarkable breakthroughs in image classification, natural language processing, and other domains.

Neural Network 52

Neural Network Software Engineer Artificial Intelligence Artificial Intelligence 52

Viso.ai

DECEMBER 6, 2023

State of Computer Vision Tasks in 2024 The field of computer vision today involves advanced AI algorithms and architectures, such as convolutional neural networks (CNNs) and vision transformers ( ViTs ), to process, analyze, and extract relevant patterns from visual data. Get a demo here.

Computer Vision 52

Computer Vision Convolutional Neural Networks Neural Network Categorization 52

Pickl AI

AUGUST 1, 2024

Here are some of the key applications of Deep Learning in healthcare: Medical Imaging Deep Learning algorithms, particularly convolutional neural networks (CNNs), excel at analysing medical images like X-rays, CT scans, and MRIs. TensorFlow, PyTorch), and knowledge of neural network architectures are also crucial.

Deep Learning 52

Deep Learning Neural Network Machine Learning Natural Language Processing 52