Unite.AI

NOVEMBER 11, 2024

Alix Melchy is the VP of AI at Jumio, where he leads teams of machine learning engineers across the globe with a focus on computer vision, natural language processing and statistical modeling. Our team maintains its technological edge through continuous learning and the participation in leading AI conferences.

Machine Learning 162

Machine Learning AI AI Natural Language Processing 162

Marktechpost

MARCH 11, 2024

DNNs’ struggle with catastrophic forgetting hampers their proficiency in recognizing previously learned instruments or anatomical structures, especially when updated data is introduced, or old data is inaccessible due to privacy concerns. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

Neural Network 105

Neural Network Continuous Learning Robotics Data Scarcity 105

The MLOps Blog

FEBRUARY 22, 2024

TL;DR: In many machine-learning projects, the model has to frequently be retrained to adapt to changing data or to personalize it. Continual learning is a set of approaches to train machine learning models incrementally, using data samples only once as they arrive. What is continual learning?

Continuous Learning 59

Continuous Learning Machine Learning ML Neural Network 59

The MLOps Blog

APRIL 20, 2023

With over 3 years of experience in designing, building, and deploying computer vision (CV) models , I’ve realized people don’t focus enough on crucial aspects of building and deploying such complex systems. Hopefully, at the end of this blog, you will know a bit more about finding your way around computer vision projects.

Computer Vision 64

Computer Vision Auto-classification Neural Network Convolutional Neural Networks 64

Viso.ai

APRIL 25, 2024

Bias detection in Computer Vision (CV) aims to find and eliminate unfair biases that can lead to inaccurate or discriminatory outputs from computer vision systems. Computer vision has achieved remarkable results, especially in recent years, outperforming humans in most tasks. Let’s get started.

Computer Vision 52

Computer Vision Categorization Algorithm Machine Learning 52

Unite.AI

MARCH 27, 2024

Milestones such as IBM's Deep Blue defeating chess grandmaster Garry Kasparov in 1997 demonstrated AI’s computational capabilities. Moreover, breakthroughs in natural language processing (NLP) and computer vision have transformed human-computer interaction and empowered AI to discern faces, objects, and scenes with unprecedented accuracy.

Natural Language Processing 278

Natural Language Processing AI AI Algorithm 278

Unite.AI

MAY 31, 2023

I did my master's in the robotics and computer vision group at the University of Alberta, where I worked on robotic manipulation with robotic arms. In a previous interview , Patrick was talking about how usually the brain has to learn to adapt to the device, but in this case the device uses machine learning to adapt to the brain.

Machine Learning 246

Machine Learning Robotics Continuous Learning Computer Vision 246

Unite.AI

JUNE 19, 2024

Providing opportunities for continuous learning and professional development also helps retain talent and fosters a culture of continuous improvement. Likewise, Siemens employed AI-powered computer vision systems for real-time quality control in its assembly lines.

Data Quality 200

Data Quality Data Scientist Machine Learning AI 200

AWS Machine Learning Blog

MARCH 17, 2025

Additionally, the integration of LLM models with other AI technologies, such as computer vision and speech recognition, could enable multimodal interactions and analysis of various medical data formats. Agents could seamlessly integrate multimodal data, such as medical images and lab reports, into their analysis and recommendations.

LLM 88

LLM Natural Language Processing ML Computer Vision 88

Becoming Human

JUNE 5, 2023

Adaptive AI represents a breakthrough in artificial intelligence by introducing continuous learning capabilities. This adaptability is achieved through model retraining and continuous learning from newly obtained information. It mimics the human capacity to continuously acquire, refine, and transfer knowledge and skills.

Continuous Learning 106

Continuous Learning Artificial Intelligence Artificial Intelligence Machine Learning 106

Unite.AI

AUGUST 3, 2023

We are committed to helping companies leverage their wealth of institutional knowledge and expertise and enable their employees to continually learn and grow. It’s about turning weaknesses into strengths and capitalizing on individual areas of expertise to foster a continuous learning culture. It’s a thrilling journey.

Machine Learning 246

Machine Learning Algorithm Natural Language Processing Generative AI 246

Marktechpost

MAY 4, 2024

Researchers in this field aim to create systems capable of continuous learning and adaptation, ensuring they remain relevant in dynamic environments. A significant challenge in developing AI models lies in overcoming the issue of catastrophic forgetting, where models fail to retain previously acquired knowledge when learning new tasks.

Neural Network 145

Neural Network Continuous Learning Large Language Models LLM 145

Flipboard

APRIL 17, 2023

We will put everything we learned so far into gradually building a multilayer perceptron (MLP) with PyTrees. We hope this post will be a valuable resource as you continue learning and exploring the world of JAX. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated?

Machine Learning 139

Machine Learning Computer Vision Neural Network Deep Learning 139

Marktechpost

JANUARY 22, 2025

Pre-trained vision models have been foundational to modern-day computer vision advances across various domains, such as image classification, object detection, and image segmentation. There is a rather massive amount of data inflow, creating dynamic data environments that require a continual learning process for our models.

Computer Vision 77

Computer Vision Continuous Learning ML AI 77

Unite.AI

AUGUST 11, 2023

As I delved deeper into the field, I realized that computer science also provided a dynamic and ever-evolving environment, where I could continuously learn and challenge myself. Can you discuss how the computer app uses AI to assess users posture using the webcam?

Algorithm 130

Algorithm Computer Vision Generative AI Data Quality 130

Unite.AI

AUGUST 5, 2024

This requires having employees on board with continuous learning and adaptability to changes in the process and looking at AI solutions as effective tools to make their day-to-day jobs easier and efficient. PowerAI uses computer vision and machine learning to automate a huge portion of the fault detection process.

Machine Learning 147

Machine Learning Artificial Intelligence Artificial Intelligence Computer Vision 147

Towards AI

MARCH 21, 2023

Computer Vision for X-ray Shots. Or, it might reverse engineer the system and look for transactions that look very “outlierish”. Healthcare: a hospital might use an ML system to analyze patient data and predict the likelihood of a patient developing a certain disease based on some X-rays.

ML 98

ML Machine Learning Algorithm Natural Language Processing 98

Marktechpost

APRIL 30, 2024

The three main components are: Firstly, a strong vision encoder, InternViT-6B, has been optimized through a continuous learning strategy, enhancing its visual understanding capabilities. This model incorporates three major improvements to close the performance gap between open-source and proprietary commercial models.

Large Language Models 129

Large Language Models Artificial Intelligence Artificial Intelligence Continuous Learning 129

Pickl AI

APRIL 19, 2024

Select the right learning path tailored to your goals and preferences. Continuous learning is critical to becoming an AI expert, so stay updated with online courses, research papers, and workshops. Specialise in domains like machine learning or natural language processing to deepen expertise.

Neural Network 52

Neural Network Natural Language Processing Machine Learning Computer Vision 52

Viso.ai

MARCH 27, 2024

This article explores Kaggle, a popular platform for learning everything related to Data Science, Computer Vision (CV), and Machine Learning. This will allow you to continue learning while leveling up your experience. A past featured competition has included a project based on computer vision.

Computer Vision 52

Computer Vision Data Science Data Scientist Machine Learning 52

Viso.ai

MARCH 26, 2024

This enhances the interpretability of AI systems for applications in computer vision and natural language processing (NLP). The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. Learn more by booking a demo. Vaswani et al.

Deep Learning 52

Deep Learning Computer Vision Neural Network Natural Language Processing 52

Marktechpost

JANUARY 5, 2024

CLOVA’s success is a testament to the transformative potential of adaptive learning mechanisms, charting a promising trajectory for the next frontier in visual intelligence. Check out the Paper and Project.

Artificial Intelligence 124

Artificial Intelligence Artificial Intelligence Continuous Learning AI 124

Towards AI

MARCH 3, 2025

Learn and Adapt: World models allow for continuous learning. Interdisciplinary Convergence: The latest research is marked by a blend of robotics, computer vision, and even neuroscience. As a robot interacts with its surroundings, it refines its internal model to improve prediction accuracy.

Robotics 77

Robotics Neural Network Natural Language Processing Computer Vision 77

Viso.ai

APRIL 29, 2024

A Spatial Transformer Network (STN) is an effective method to achieve spatial invariance of a computer vision system. Performance of Spatial Transformer Networks vs Other Solutions Since its introduction in 2015, STNs have tremendously advanced the field of computer vision. Max Jaderberg et al.

Neural Network 52

Neural Network Computer Vision Convolutional Neural Networks Robotics 52

Marktechpost

AUGUST 18, 2024

This adaptability is crucial for applications requiring continuous learning and updating in dynamic environments. The flexibility of the visual memory allows it to scale to billion-scale datasets without additional training, and it can also remove outdated data through unlearning and memory pruning.

Deep Learning 103

Deep Learning Neural Network Large Language Models Continuous Learning 103

Viso.ai

APRIL 4, 2024

About us: Viso Suite provides enterprise ML teams with 695% ROI on their computer vision applications. Viso Suite makes it possible to integrate computer vision into existing workflows rapidly by delivering full-scale management of the entire application lifecycle.

Data Drift 52

Data Drift Computer Vision Machine Learning Algorithm 52

Google Research AI blog

FEBRUARY 14, 2023

In “ Legged Robots that Keep on Learning ”, we trained a reset policy so the robot can recover from failures, like learning to stand up by itself after falling. Automatic reset policies enable the robot to continue learning in a lifelong fashion without human supervision.

Robotics 139

Robotics LLM Algorithm Computer Vision 139

Marktechpost

OCTOBER 4, 2024

The proposed models demonstrate that combining robust pre-training methods and continual learning strategies can result in a high-performing MLLM that is versatile across various applications, from general image-text understanding to specialized video and UI comprehension. is poised to address key challenges in multimodal AI.

Large Language Models 107

Large Language Models AI Researcher AI Research AI 107

Mlearning.ai

JULY 11, 2023

Step 6: Apply Deep Learning to Specific Domains Deep learning is used in many areas. Choose a domain you’re interested in, such as computer vision, natural language processing (NLP), or speech recognition. Learn the deep learning techniques and tools specific to that field.

Deep Learning 40

Deep Learning Neural Network Convolutional Neural Networks Computer Vision 40

Google Research AI blog

NOVEMBER 16, 2022

Such models have demonstrated better scaling in multiple domains and better retention capability in a continual learning setting (e.g., In sparsely-activated variants of MoE models (e.g., Switch Transformer , GLaM , V-MoE ), a subset of experts is selected on a per-token or per-example basis, thus creating sparsity in the network.

Algorithm 78

Algorithm Neural Network Natural Language Processing Computer Vision 78

Pickl AI

JANUARY 3, 2024

As the market evolves, continuous learning and adaptability are crucial for success in this dynamic field. Sailing into 2024: Machine Learning salary trends unveiled As we stand on the cusp of 2024, the world of Machine Learning beckons with unprecedented opportunities. from 2023 to 2030.

Machine Learning 52

Machine Learning Natural Language Processing Deep Learning Computer Vision 52

Pickl AI

JULY 10, 2024

Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation. In this fast-evolving field, continuous learning and upskilling are crucial for staying relevant and competitive. Practical applications in NLP, computer vision, and robotics.

Machine Learning 52

Machine Learning Neural Network Deep Learning NLP 52

AWS Machine Learning Blog

AUGUST 21, 2024

Continuous improvement : By analyzing the LMA’s outputs and user interactions, healthcare organizations can identify areas for improvement and refine the prompting techniques, language models, and knowledge bases. This continuous learning and optimization process can lead to increasingly accurate and valuable outputs from the LMA over time.

LLM 114

LLM ML Automation NLP 114

Pickl AI

OCTOBER 28, 2024

They may also transition into specialised areas like natural language processing (NLP) or computer vision. Continuous Learning The rapidly evolving nature of technology necessitates ongoing education and skill development.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI Engineer Machine Learning 52

Viso.ai

JANUARY 16, 2024

Evolving AI: The continuous learning and adaptation of AI systems can make it difficult to keep track of new patents. Computer vision influencers to keep an eye on About us: Viso Suite is a no-code enterprise computer vision platform. Book a demo today to learn more.

Neural Network 52

Neural Network Computer Vision Categorization Algorithm 52

Sebastian Ruder

FEBRUARY 23, 2023

We identify three modular training strategies: 1) joint training; 2) continual learning, and 3) post-hoc adaptation. Continual learning.  During  During continual learning, new modules are introduced into the model over time. The most common setting is to learn adapters for ASR.

Deep Learning 52

Deep Learning NLP Computer Vision Metadata 52

AWS Machine Learning Blog

OCTOBER 2, 2024

Leveraging her expertise in Computer Vision and Deep Learning, she empowers customers to harness the power of the ML in AWS cloud efficiently. About the Authors Akarsha Sehwag is a Data Scientist and ML Engineer in AWS Professional Services with over 5 years of experience building ML based services and products.

Generative AI 124

Generative AI Data Ingestion AI AI 124