Marktechpost

MARCH 11, 2024

Deep Neural Networks (DNNs) excel in enhancing surgical precision through semantic segmentation and accurately identifying robotic instruments and tissues. However, they face catastrophic forgetting and a rapid decline in performance on previous tasks when learning new ones, posing challenges in scenarios with limited data.

Neural Network 98

Neural Network Continuous Learning Robotics Data Scarcity 98

Marktechpost

MAY 8, 2024

These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution. In this framework, an agent, like a self-driving car, navigates an environment based on observed sensory data, taking actions to maximize cumulative future rewards.

Deep Learning 107

Deep Learning Neural Network Data Scarcity Natural Language Processing 107

TheSequence

APRIL 14, 2024

As the name indicates, neuro-symbolic models combine neural networks, such as LLMs, with smaller, easier-to-interpret symbolic models to adapt LLMs to specific domains. Collaborative Robotics announced a $100 million Series B. Ferret-UI could be one of the foundations for building LLM agents in IPhones —> Read more.

Data Scarcity 52

Data Scarcity LLM Neural Network ML 52

Viso.ai

DECEMBER 18, 2023

Instead of relying on organic events, we generate this data through computer simulations or generative models. Synthetic data can augment existing datasets, create new datasets, or simulate unique scenarios. Specifically, it solves two key problems: data scarcity and privacy concerns. Technique No.1:

Computer Vision 52

Computer Vision Neural Network Auto-complete Data Scarcity 52

Pickl AI

FEBRUARY 1, 2023

Thus it reduces the amount of data and computational need. Transfer Learning has various applications like computer vision, NLP, recommendation systems, and robotics. Examples of Transfer Learning in Deep Learning include: Using a pre-trained image classification network for a new image classification task with a similar dataset.

Deep Learning 52

Deep Learning Convolutional Neural Networks Machine Learning Neural Network 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